William Lees

1.1k total citations
35 papers, 403 citations indexed

About

William Lees is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, William Lees has authored 35 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 20 papers in Molecular Biology and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in William Lees's work include T-cell and B-cell Immunology (20 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and Immune Cell Function and Interaction (15 papers). William Lees is often cited by papers focused on T-cell and B-cell Immunology (20 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and Immune Cell Function and Interaction (15 papers). William Lees collaborates with scholars based in United Kingdom, United States and Israel. William Lees's co-authors include Adrian J. Shepherd, David S. Moss, Gur Yaari, Corey T. Watson, Andrew M. Collins, Ayelet Peres, Mats Ohlin, Pazit Polak, Martin Corcoran and Oscar L. Rodriguez and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

William Lees

31 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Lees United Kingdom 11 227 213 154 101 35 35 403
Collin Joyce United States 3 180 0.8× 169 0.8× 166 1.1× 37 0.4× 49 1.4× 6 329
Shuaiyi Liang China 6 128 0.6× 159 0.7× 127 0.8× 68 0.7× 76 2.2× 11 359
Andre Branchizio United States 5 149 0.7× 116 0.5× 106 0.7× 74 0.7× 61 1.7× 5 279
Teis Jensen Denmark 13 324 1.4× 174 0.8× 54 0.4× 59 0.6× 37 1.1× 18 510
Jeff Lutman United States 8 213 0.9× 362 1.7× 373 2.4× 47 0.5× 26 0.7× 10 552
Susanna Marquez United States 10 205 0.9× 199 0.9× 75 0.5× 72 0.7× 20 0.6× 18 363
James Testa United States 9 131 0.6× 145 0.7× 31 0.2× 62 0.6× 51 1.5× 15 291
Sneha Rangarajan United States 10 135 0.6× 100 0.5× 96 0.6× 60 0.6× 22 0.6× 10 312
Rebekah M. Brennan Australia 16 528 2.3× 150 0.7× 85 0.6× 165 1.6× 29 0.8× 20 700
Néstor Vázquez Bernat Sweden 6 250 1.1× 120 0.6× 112 0.7× 39 0.4× 52 1.5× 8 338

Countries citing papers authored by William Lees

Since Specialization
Citations

This map shows the geographic impact of William Lees'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 William Lees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Lees more than expected).

Fields of papers citing papers by William Lees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Lees. 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 William Lees. The network helps show where William Lees may publish in the future.

Co-authorship network of co-authors of William Lees

This figure shows the co-authorship network connecting the top 25 collaborators of William Lees. A scholar is included among the top collaborators of William Lees 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 William Lees. William Lees is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cowell, Lindsay G., Scott Christley, Felix Breden, et al.. (2025). The Adaptive Immune Receptor Repertoire Knowledge Commons: An invitation to the community. Cell Systems. 16(9). 101401–101401. 1 indexed citations
2.
Røsjø, Egil, et al.. (2025). Ultra-long sequencing for contiguous haplotype resolution of the human immunoglobulin heavy-chain locus. Genome Research. 35(10). 2240–2251.
3.
Rodriguez, Oscar L., William Lees, Eric Engelbrecht, et al.. (2025). The human IG heavy chain constant gene locus is enriched for large structural variants and coding polymorphisms that vary among human populations. Cell Genomics. 6(1). 101058–101058.
4.
Lees, William, Ayelet Peres, N. Amos, et al.. (2025). The current landscape of adaptive immune receptor genomic and repertoire data: OGRDB and VDJbase. Nucleic Acids Research. 54(D1). D932–D937.
5.
Lees, William, Swati Saha, Gur Yaari, & Corey T. Watson. (2024). Digger: directed annotation of immunoglobulin and T cell receptor V, D, and J gene sequences and assemblies. Bioinformatics. 40(3). 3 indexed citations
6.
Engelbrecht, Eric, Oscar L. Rodriguez, Kaitlyn Shields, et al.. (2024). Resolving haplotype variation and complex genetic architecture in the human immunoglobulin kappa chain locus in individuals of diverse ancestry. Genes and Immunity. 25(4). 297–306. 6 indexed citations
7.
Collins, Andrew M., Mats Ohlin, Martin Corcoran, et al.. (2024). AIRR-C IG Reference Sets: curated sets of immunoglobulin heavy and light chain germline genes. Frontiers in Immunology. 14. 1330153–1330153. 13 indexed citations
8.
Peres, Ayelet, William Lees, Oscar L. Rodriguez, et al.. (2023). IGHV allele similarity clustering improves genotype inference from adaptive immune receptor repertoire sequencing data. Nucleic Acids Research. 51(16). e86–e86. 12 indexed citations
9.
Lees, William, Scott Christley, Ayelet Peres, et al.. (2023). AIRR community curation and standardised representation for immunoglobulin and T cell receptor germline sets. SHILAP Revista de lepidopterología. 10. 100025–100025. 9 indexed citations
10.
Marquez, Susanna, Lmar Babrak, Victor Greiff, et al.. (2022). Adaptive Immune Receptor Repertoire (AIRR) Community Guide to Repertoire Analysis. Methods in molecular biology. 2453. 297–316. 5 indexed citations
11.
Babrak, Lmar, Susanna Marquez, Christian E. Busse, et al.. (2022). Adaptive Immune Receptor Repertoire (AIRR) Community Guide to TR and IG Gene Annotation. Methods in molecular biology. 2453. 279–296. 1 indexed citations
12.
Jackson, Katherine, Justin T. Kos, William Lees, et al.. (2022). A BALB/c IGHV Reference Set, Defined by Haplotype Analysis of Long-Read VDJ-C Sequences From F1 (BALB/c x C57BL/6) Mice. Frontiers in Immunology. 13. 888555–888555. 13 indexed citations
13.
Collins, Andrew M., Gur Yaari, Adrian J. Shepherd, William Lees, & Corey T. Watson. (2020). Germline immunoglobulin genes: Disease susceptibility genes hidden in plain sight?. Current Opinion in Systems Biology. 24. 100–108. 24 indexed citations
14.
Lees, William, et al.. (2020). Flexibility and intrinsic disorder are conserved features of hepatitis C virus E2 glycoprotein. PLoS Computational Biology. 16(2). e1007710–e1007710. 19 indexed citations
15.
Lees, William, Christian E. Busse, Martin Corcoran, et al.. (2019). OGRDB: a reference database of inferred immune receptor genes. Nucleic Acids Research. 48(D1). D964–D970. 39 indexed citations
16.
Schramm, Chaim A., Anna Obraztsova, Duncan Ralph, et al.. (2019). sumrep: A Summary Statistic Framework for Immune Receptor Repertoire Comparison and Model Validation. Frontiers in Immunology. 10. 2533–2533. 18 indexed citations
18.
Lees, William & Adrian J. Shepherd. (2016). Studying Antibody Repertoires with Next-Generation Sequencing. Methods in molecular biology. 1526. 257–270. 7 indexed citations
19.
Lees, William & Adrian J. Shepherd. (2015). Utilities for High-Throughput Analysis of B-Cell Clonal Lineages. Journal of Immunology Research. 2015. 1–9. 9 indexed citations
20.
Lees, William, et al.. (2014). N-Linked glycans on influenza A H3N2 hemagglutinin constrain binding of host antibodies, but shielding is limited. Glycobiology. 25(1). 124–132. 10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026