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ImmunoInformatics

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DOIs for this ISSN

Showing the top 5 of 62 DOIs, ordered by correction priority.

# Title Missing Priority Citations
1 Recent advances in T-cell receptor repertoire analysis: Brid… (10.1016/j.immuno.2022.100009)
Abstract ORCID
84.95 49
2 Deep learning for the detection of microsatellite instabilit… (10.1016/j.immuno.2021.100008)
Abstract ORCID
80.64 40
3 Interpretable deep learning to uncover the molecular binding… (10.1016/j.immuno.2023.100027)
Abstract ORCID
61.52 16
4 Benchmarking solutions to the T-cell receptor epitope predic… (10.1016/j.immuno.2023.100024)
Abstract
50.43 103
5 Immunoinformatics: Pushing the boundaries of immunology rese… (10.1016/j.immuno.2021.100007)
Abstract ORCID
47.71 8
6 Lessons learned from the IMMREP23 TCR-epitope prediction cha… (10.1016/j.immuno.2024.100045)
Abstract
44.98 62
7 CelltrackR: An R package for fast and flexible analysis of i… (10.1016/j.immuno.2021.100003)
Abstract
42.25 48
8 Integrating single cell sequencing with a spatial quantitati… (10.1016/j.immuno.2021.100002)
Abstract
36.18 27
9 AnalyzAIRR: A user-friendly guided workflow for AIRR data an… (10.1016/j.immuno.2025.100052)
Abstract ORCID
34.95 4
10 T-cell receptor binding prediction: A machine learning revol… (10.1016/j.immuno.2024.100040)
Abstract
33.06 20
11 Modeling interaction of Glioma cells and CAR T-cells conside… (10.1016/j.immuno.2023.100022)
Abstract
30.76 16
12 A comparison of clustering models for inference of T cell re… (10.1016/j.immuno.2024.100033)
Abstract
30.76 16
13 Association of pyroptosis and severeness of COVID-19 as reve… (10.1016/j.immuno.2022.100013)
Abstract
30.10 15
14 Structural pre-training improves physical accuracy of antibo… (10.1016/j.immuno.2023.100028)
Abstract ORCID
30.10 3
15 AIRR community curation and standardised representation for… (10.1016/j.immuno.2023.100025)
Abstract
29.40 14
16 Improving immunovirotherapies: the intersection of mathemati… (10.1016/j.immuno.2022.100011)
Abstract
27.85 12
17 Do domain-specific protein language models outperform genera… (10.1016/j.immuno.2024.100036)
Abstract
27.85 12
18 NetMHCphosPan - Pan-specific prediction of MHC class I antig… (10.1016/j.immuno.2021.100005)
Abstract
26.98 11
19 In silico design and evaluation of a multi-epitope and multi… (10.1016/j.immuno.2022.100019)
Abstract
26.98 11
20 Epitopedia: identifying molecular mimicry between pathogens… (10.1016/j.immuno.2023.100023)
Abstract
25.00 9
21 Modelling rheumatoid arthritis: A hybrid modelling framework… (10.1016/j.immuno.2022.100014)
Abstract
23.86 8
22 Transfer learning improves pMHC kinetic stability and immuno… (10.1016/j.immuno.2023.100030)
Abstract
23.86 8
23 A Nextflow pipeline for T-cell receptor repertoire reconstru… (10.1016/j.immuno.2022.100012)
Abstract
22.58 7
24 Epitope identification of SARS-CoV-2 structural proteins usi… (10.1016/j.immuno.2022.100015)
Abstract
21.13 6
25 Challenges for the immunoglobulin and T cell receptor gene n… (10.1016/j.immuno.2025.100053)
Abstract
21.13 6
26 SARS-CoV-2 Omicron (BA.1 and BA.2) specific novel CD8+ and C… (10.1016/j.immuno.2022.100020)
Abstract
19.45 5
27 Guiding a language-model based protein design method towards… (10.1016/j.immuno.2024.100035)
Abstract
19.45 5
28 Building immunoglobulin and T cell receptor gene databases f… (10.1016/j.immuno.2025.100059)
Abstract
17.47 4
29 Building immune digital twins: An international and transdis… (10.1016/j.immuno.2025.100060)
Abstract
17.47 4
30 IApred: A versatile open-source tool for predicting protein… (10.1016/j.immuno.2025.100061)
Abstract
17.47 4
31 Immune checkpoint therapy modeling of PD-1/PD-L1 blockades r… (10.1016/j.immuno.2021.100004)
Abstract
15.05 3
32 The race to understand immunopathology in COVID-19: Perspect… (10.1016/j.immuno.2023.100021)
Abstract
15.05 3
33 The journey towards complete and accurate prediction of HLA… (10.1016/j.immuno.2024.100032)
Abstract
15.05 3
34 SARS-CoV-2-identical protein regions found in mammalian coro… (10.1016/j.immuno.2024.100034)
Abstract ORCID
15.05 1
35 In silico modelling of CD8 T cell immune response links gene… (10.1016/j.immuno.2024.100043)
Abstract
15.05 3
36 Scifer: An R/Bioconductor package for large-scale integratio… (10.1016/j.immuno.2024.100046)
Abstract ORCID
15.05 1
37 Molecular mimicry impact of the COVID-19 pandemic: Sequence… (10.1016/j.immuno.2025.100050)
Abstract
15.05 3
38 Challenges and future directions of AIRR-seq-based diagnosti… (10.1016/j.immuno.2025.100056)
Abstract
15.05 3
39 Is the vaccination-induced B cell receptor repertoire predic… (10.1016/j.immuno.2025.100057)
Abstract
15.05 3
40 The gremlin in the works: why T cell receptor researchers ne… (10.1016/j.immuno.2025.100058)
Abstract
15.05 3
41 To what extent does MHC binding translate to immunogenicity… (10.1016/j.immuno.2021.100006)
Abstract
11.93 2
42 Recent computational image workflows advance the spatio-phen… (10.1016/j.immuno.2022.100016)
Abstract
11.93 2
43 Comparison of different substitution matrices for distance b… (10.1016/j.immuno.2025.100051)
Abstract
11.93 2
44 Where single-cell transcriptomics fails T cells: The misuse… (10.1016/j.immuno.2025.100063)
Abstract
11.93 2
45 Machine-learning-based analytics for risk forecasting of ana… (10.1016/j.immuno.2022.100018)
Abstract
7.53 1
46 Computational modelling of immunological mechanisms: From st… (10.1016/j.immuno.2023.100029)
Abstract
7.53 1
47 Navigating the immunosuppressive brain tumor microenvironmen… (10.1016/j.immuno.2024.100041)
Abstract
7.53 1
48 Multicohort analysis identifies conserved transcriptional in… (10.1016/j.immuno.2024.100044)
Abstract
7.53 1
49 Comparative analysis of SLA-1 and SLA-2 genetic diversity in… (10.1016/j.immuno.2025.100048)
Abstract
7.53 1
50 Machine learning in AIRR diagnostics: Advances and applicati… (10.1016/j.immuno.2025.100062)
Abstract
7.53 1