John Trowsdale

50.1k total citations · 6 hit papers
428 papers, 34.1k citations indexed

About

John Trowsdale is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, John Trowsdale has authored 428 papers receiving a total of 34.1k indexed citations (citations by other indexed papers that have themselves been cited), including 327 papers in Immunology, 108 papers in Molecular Biology and 49 papers in Genetics. Recurrent topics in John Trowsdale's work include Immune Cell Function and Interaction (226 papers), T-cell and B-cell Immunology (214 papers) and Immunotherapy and Immune Responses (99 papers). John Trowsdale is often cited by papers focused on Immune Cell Function and Interaction (226 papers), T-cell and B-cell Immunology (214 papers) and Immunotherapy and Immune Responses (99 papers). John Trowsdale collaborates with scholars based in United Kingdom, United States and Germany. John Trowsdale's co-authors include Stephan Beck, Mary Carrington, Adrian P. Kelly, R. Duncan Campbell, David A. Rhodes, Robert A. Eagle, Stephen H. Powis, Walter F. Bodmer, Michael J. Wilson and Adrian Kelly and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

John Trowsdale

424 papers receiving 33.2k citations

Hit Papers

Epistatic interaction between KIR3DS1 and HLA-B delays th... 1990 2026 2002 2014 2002 2004 2004 1990 2005 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Epistatic interaction between KIR3DS1 and HLA-B delays the progression to AIDS
    2002 923 citations Maureen P. Martin, Xiaojiang Gao et al. profile →
  2. Combinations of Maternal KIR and Fetal HLA-C Genes Influence the Risk of Preeclampsia and Reproductive Success
    2004 849 citations Susan E. Hiby, James J. Walker et al. The Journal of Experimental Medicine profile →
  3. Gene map of the extended humanMHC
    2004 820 citations John Trowsdale, Stephan Beck et al. profile →
  4. Sequences encoded in the class II region of the MHC related to the 'ABC' superfamily of transporters
    1990 624 citations John Trowsdale, Ian Mockridge et al. profile →
  5. Nomenclature for Factors of the HLA System, 2004
    2005 537 citations Walter F. Bodmer, John Trowsdale et al. profile →
  6. Plasticity in the organization and sequences of human KIR/ILT gene families
    2000 518 citations Michael J. Wilson, Michaela Torkar et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Trowsdale United Kingdom 101 23.8k 8.8k 3.6k 3.5k 3.2k 428 34.1k
Herbert C. Morse United States 81 12.1k 0.5× 8.0k 0.9× 3.6k 1.0× 2.5k 0.7× 2.8k 0.9× 437 22.8k
Keiko Ozato United States 93 13.5k 0.6× 14.7k 1.7× 5.0k 1.4× 3.4k 1.0× 2.1k 0.7× 332 28.8k
Edgar G. Engleman United States 78 15.5k 0.7× 6.0k 0.7× 5.8k 1.6× 1.7k 0.5× 3.7k 1.2× 277 24.9k
Hergen Spits Netherlands 97 29.3k 1.2× 5.6k 0.6× 7.6k 2.1× 2.1k 0.6× 2.7k 0.9× 336 39.1k
Sharon M. Wahl United States 87 15.0k 0.6× 7.9k 0.9× 4.4k 1.2× 2.0k 0.6× 3.1k 1.0× 277 31.6k
Hans Hengartner Switzerland 99 24.6k 1.0× 6.2k 0.7× 4.1k 1.1× 3.8k 1.1× 5.4k 1.7× 340 34.0k
Gerold Schuler Germany 84 25.1k 1.1× 7.8k 0.9× 7.7k 2.1× 2.0k 0.6× 2.4k 0.8× 355 33.0k
Hans‐Georg Rammensee Germany 81 19.6k 0.8× 11.3k 1.3× 6.0k 1.7× 1.9k 0.5× 3.7k 1.2× 361 28.0k
Ethan M. Shevach United States 104 37.5k 1.6× 6.6k 0.7× 7.3k 2.0× 3.3k 0.9× 3.2k 1.0× 423 47.7k
Ulrich H. von Andrian United States 109 26.1k 1.1× 9.8k 1.1× 7.6k 2.1× 1.9k 0.5× 3.2k 1.0× 256 42.9k

Countries citing papers authored by John Trowsdale

Since Specialization
Citations

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

Fields of papers citing papers by John Trowsdale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Trowsdale

This figure shows the co-authorship network connecting the top 25 collaborators of John Trowsdale. A scholar is included among the top collaborators of John Trowsdale 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 John Trowsdale. John Trowsdale 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.
Jackson, Hannah K., Heather M. Long, Juan Carlos Yam‐Puc, et al.. (2024). Bioengineered small extracellular vesicles deliver multiple SARS‐CoV‐2 antigenic fragments and drive a broad immunological response. Journal of Extracellular Vesicles. 13(2). e12412–e12412. 4 indexed citations
2.
Rémen, Thomas, et al.. (2023). Comparison of NK alloreactivity prediction models based on KIR-MHC interactions in haematopoietic stem cell transplantation. Frontiers in Immunology. 14. 1028162–1028162. 1 indexed citations
3.
Fielding, Ceri A., Michael P. Weekes, Luís Nobre, et al.. (2017). Control of immune ligands by members of a cytomegalovirus gene expansion suppresses natural killer cell activation. eLife. 6. 56 indexed citations
4.
Huang, Wei‐Chen, Nicholas Easom, Xin-Zi Tang, et al.. (2016). T Cells Infiltrating Diseased Liver Express Ligands for the NKG2D Stress Surveillance System. The Journal of Immunology. 198(3). 1172–1182. 37 indexed citations
5.
Boyle, Louise H., Clemens Hermann, Jessica M. Boname, et al.. (2013). Tapasin-related protein TAPBPR is an additional component of the MHC class I presentation pathway. Proceedings of the National Academy of Sciences. 110(9). 3465–3470. 92 indexed citations
6.
Béziat, Vivien, Lisa L. Liu, Martin A. Ivarsson, et al.. (2013). NK cell responses to cytomegalovirus infection lead to stable imprints in the human KIR repertoire and involve activating KIRs. Blood. 121(14). 2678–2688. 396 indexed citations
7.
Hov, Johannes R., Vasilis Kosmoliaptsis, Marita Olsson, et al.. (2011). 22 ELECTROSTATIC MODIFICATIONS OF THE HLA-DR P9 PEPTIDE-BINDING POCKET AND SUSCEPTIBILITY TO PRIMARY SCLEROSING CHOLANGITIS. Journal of Hepatology. 54. S10–S11. 5 indexed citations
8.
Trowsdale, John. (2009). Evolution of NK cell receptors. ˜The œbiomedical & life sciences collection.. 2009(9). e1002212–e1002212. 1 indexed citations
9.
Nedvetzki, Shlomo, Stefanie Sowinski, Robert A. Eagle, et al.. (2007). Reciprocal regulation of human natural killer cells and macrophages associated with distinct immune synapses. Blood. 109(9). 3776–3785. 209 indexed citations
10.
Hiby, Susan E., James J. Walker, Kevin M. O’Shaughnessy, et al.. (2004). Combinations of Maternal KIR and Fetal HLA-C Genes Influence the Risk of Preeclampsia and Reproductive Success. The Journal of Experimental Medicine. 200(8). 957–965. 849 indexed citations breakdown →
11.
Martin, Maureen P., Arman Bashirova, James A. Traherne, John Trowsdale, & Mary Carrington. (2003). Cutting Edge: Expansion of the KIR Locus by Unequal Crossing Over. The Journal of Immunology. 171(5). 2192–2195. 116 indexed citations
12.
Stewart, Claudia, Jeroen van Bergen, & John Trowsdale. (2003). Different and Divergent Regulation of the KIR2DL4 and KIR3DL1 Promoters. The Journal of Immunology. 170(12). 6073–6081. 46 indexed citations
13.
Torkar, Michaela, Chiwen Chang, Roland Barten, et al.. (2003). Killer Cell Ig-Like Receptor and Leukocyte Ig-Like Receptor Transgenic Mice Exhibit Tissue- and Cell-Specific Transgene Expression. The Journal of Immunology. 171(6). 3056–3063. 26 indexed citations
14.
Stephens, Richard, et al.. (2002). A human TAPBP (TAPASIN)-related gene, TAPBP-R. European Journal of Immunology. 32(4). 1059–1068. 1 indexed citations
15.
Stephens, Richard, et al.. (2002). A humanTAPBP (TAPASIN)-related gene,TAPBP-R. European Journal of Immunology. 32(4). 1059–1068. 52 indexed citations
16.
Soilleux, Elizabeth J., et al.. (2002). Human atherosclerotic plaques express DC‐SIGN, a novel protein found on dendritic cells and macrophages. The Journal of Pathology. 198(4). 511–516. 47 indexed citations
17.
Martin, Maureen P., George W. Nelson, Jeong-Hee Lee, et al.. (2002). Cutting Edge: Susceptibility to Psoriatic Arthritis: Influence of Activating Killer Ig-Like Receptor Genes in the Absence of Specific HLA-C Alleles. The Journal of Immunology. 169(6). 2818–2822. 278 indexed citations
18.
Chang, Chiwen, Jes Dietrich, Ailsa G. Harpur, et al.. (1999). Cutting Edge: KAP10, a Novel Transmembrane Adapter Protein Genetically Linked to DAP12 but with Unique Signaling Properties. The Journal of Immunology. 163(9). 4651–4654. 94 indexed citations
19.
Cullen, Michael, Janelle A. Noble, Karen L. Thorpe, et al.. (1997). Characterization of recombination in the HLA class II region.. PubMed. 60(2). 397–407. 120 indexed citations
20.
Bodmer, Walter F., et al.. (1993). ALLELES AND HAPLOTYPES OF THE MHC-ENCODED ABC TRANSPORTERS TAP1 AND TAP2 (IMMUNOGENET, VOL 37, PG 373, 1993). UCL Discovery (University College London). 1 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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