Hesham ElAbd

1.7k total citations
13 papers, 107 citations indexed

About

Hesham ElAbd is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Hesham ElAbd has authored 13 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Immunology and 3 papers in Oncology. Recurrent topics in Hesham ElAbd's work include T-cell and B-cell Immunology (5 papers), vaccines and immunoinformatics approaches (4 papers) and Immune Cell Function and Interaction (4 papers). Hesham ElAbd is often cited by papers focused on T-cell and B-cell Immunology (5 papers), vaccines and immunoinformatics approaches (4 papers) and Immune Cell Function and Interaction (4 papers). Hesham ElAbd collaborates with scholars based in Germany, Lithuania and Liechtenstein. Hesham ElAbd's co-authors include André Franke, Tobias L. Lenz, Mareike Wendorff, Yana Bromberg, Adrienne Hoarfrost, Morten Nielsen, Petra Bächer, Thomas Østerbye, Michael Wittig and Elisa Rosati and has published in prestigious journals such as Frontiers in Immunology, BMC Bioinformatics and Journal of Autoimmunity.

In The Last Decade

Hesham ElAbd

11 papers receiving 104 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hesham ElAbd Germany 5 83 17 17 10 6 13 107
Mareike Wendorff Germany 5 71 0.9× 14 0.8× 18 1.1× 9 0.9× 3 0.5× 5 93
Akanksha Arora India 6 109 1.3× 17 1.0× 16 0.9× 7 0.7× 6 1.0× 11 144
Branislava Gemović Serbia 8 72 0.9× 10 0.6× 17 1.0× 4 0.4× 3 0.5× 15 116
Orly Marcu Israel 5 115 1.4× 17 1.0× 25 1.5× 21 2.1× 12 2.0× 8 144
Lulu Zheng China 10 180 2.2× 7 0.4× 38 2.2× 10 1.0× 9 1.5× 15 224
Taushif Khan United States 6 77 0.9× 18 1.1× 15 0.9× 5 0.5× 4 0.7× 14 122
Youngjun Park South Korea 8 171 2.1× 8 0.5× 34 2.0× 18 1.8× 4 0.7× 14 265
Satenig Guler United States 4 51 0.6× 9 0.5× 13 0.8× 14 1.4× 8 1.3× 4 103
Priyanka Dhingra India 8 158 1.9× 10 0.6× 21 1.2× 14 1.4× 7 1.2× 17 215
Robert E. Boer United States 8 252 3.0× 10 0.6× 10 0.6× 7 0.7× 4 0.7× 11 280

Countries citing papers authored by Hesham ElAbd

Since Specialization
Citations

This map shows the geographic impact of Hesham ElAbd's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hesham ElAbd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hesham ElAbd more than expected).

Fields of papers citing papers by Hesham ElAbd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hesham ElAbd. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hesham ElAbd. The network helps show where Hesham ElAbd may publish in the future.

Co-authorship network of co-authors of Hesham ElAbd

This figure shows the co-authorship network connecting the top 25 collaborators of Hesham ElAbd. A scholar is included among the top collaborators of Hesham ElAbd based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hesham ElAbd. Hesham ElAbd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Franke, André, et al.. (2025). OP26 Disentangling the role of HLA proteins in shaping the T-cell repertoire in Inflammatory Bowel Disease using CDR3-QTL analysis. Journal of Crohn s and Colitis. 19(Supplement_1). i51–i52. 1 indexed citations
2.
ElAbd, Hesham, et al.. (2025). Decoding the etiology of immune-mediated inflammatory diseases statistically. Frontiers in Immunology. 16. 1610662–1610662. 2 indexed citations
3.
Andreu‐Sánchez, Sergio, et al.. (2025). Associations between HLA-II variation and antibody specificity are predicted by antigen properties. Genome Medicine. 17(1). 65–65. 2 indexed citations
5.
ElAbd, Hesham, Juergen Dingel, Tatiana Lau, & Ali Tizghadam. (2025). Enhancing automated network function onboarding through language extension and code refactoring. Software & Systems Modeling.
6.
Mayr, Gabriele, et al.. (2024). A structure-based in silico analysis of the Kell blood group system. Frontiers in Immunology. 15. 1452637–1452637.
7.
Britanova, Olga V., et al.. (2024). Bulk T cell repertoire sequencing (TCR-Seq) is a powerful technology for understanding inflammation-mediated diseases. Journal of Autoimmunity. 149. 103337–103337. 3 indexed citations
8.
ElAbd, Hesham & André Franke. (2024). Mass Spectrometry-Based Immunopeptidomics of Peptides Presented on Human Leukocyte Antigen Proteins. Methods in molecular biology. 2758. 425–443. 3 indexed citations
9.
ElAbd, Hesham, Petra Bächer, Andreas Tholey, Tobias L. Lenz, & André Franke. (2023). Challenges and opportunities in analyzing and modeling peptide presentation by HLA-II proteins. Frontiers in Immunology. 14. 1107266–1107266. 5 indexed citations
10.
Fuß, Janina, Simonas Juzėnas, Michael Wittig, et al.. (2022). High-throughput method for the hybridisation-based targeted enrichment of long genomic fragments for PacBio third-generation sequencing. NAR Genomics and Bioinformatics. 4(3). lqac051–lqac051. 13 indexed citations
11.
ElAbd, Hesham, Frauke Degenhardt, Tomas Koudelka, et al.. (2021). Immunopeptidomics toolkit library (IPTK): a python-based modular toolbox for analyzing immunopeptidomics data. BMC Bioinformatics. 22(1). 405–405. 4 indexed citations
12.
Wendorff, Mareike, Thomas Østerbye, Hesham ElAbd, et al.. (2020). Unbiased Characterization of Peptide-HLA Class II Interactions Based on Large-Scale Peptide Microarrays; Assessment of the Impact on HLA Class II Ligand and Epitope Prediction. Frontiers in Immunology. 11. 1705–1705. 7 indexed citations
13.
ElAbd, Hesham, Yana Bromberg, Adrienne Hoarfrost, et al.. (2020). Amino acid encoding for deep learning applications. BMC Bioinformatics. 21(1). 235–235. 66 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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