Jan Petersen

5.5k total citations · 1 hit paper
70 papers, 2.9k citations indexed

About

Jan Petersen is a scholar working on Molecular Biology, Immunology and Inorganic Chemistry. According to data from OpenAlex, Jan Petersen has authored 70 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 19 papers in Immunology and 17 papers in Inorganic Chemistry. Recurrent topics in Jan Petersen's work include Photosynthetic Processes and Mechanisms (12 papers), Celiac Disease Research and Management (11 papers) and Inorganic Fluorides and Related Compounds (9 papers). Jan Petersen is often cited by papers focused on Photosynthetic Processes and Mechanisms (12 papers), Celiac Disease Research and Management (11 papers) and Inorganic Fluorides and Related Compounds (9 papers). Jan Petersen collaborates with scholars based in United Kingdom, Australia and Germany. Jan Petersen's co-authors include Jamie Rossjohn, Calliope A. Dendrou, Lars Fugger, Hugh H. Reid, Anthony W. Purcell, Khai Lee Loh, Rodney J. Devenish, Mark Prescott, Pascal G. Wilmann and D. Stehlik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Jan Petersen

68 papers receiving 2.8k citations

Hit Papers

HLA variation and disease 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Petersen United Kingdom 28 1.1k 899 402 311 301 70 2.9k
Sabine Müller Germany 35 2.7k 2.5× 576 0.6× 82 0.2× 121 0.4× 119 0.4× 162 4.3k
László Bene Hungary 23 700 0.6× 659 0.7× 57 0.1× 229 0.7× 157 0.5× 73 1.7k
Pavel Strop United States 33 2.5k 2.3× 465 0.5× 150 0.4× 105 0.3× 112 0.4× 75 4.2k
Keith P. Wilson United States 26 3.2k 3.0× 516 0.6× 129 0.3× 16 0.1× 352 1.2× 35 4.4k
Robert Pascal France 39 1.7k 1.5× 173 0.2× 223 0.6× 16 0.1× 482 1.6× 147 4.8k
György Vereb Hungary 36 2.3k 2.1× 747 0.8× 18 0.0× 466 1.5× 137 0.5× 158 4.5k
Olga Ornatsky Canada 35 4.2k 3.9× 1.2k 1.4× 14 0.0× 811 2.6× 199 0.7× 81 6.5k
Ning Jiang United States 30 1.1k 1.1× 1.9k 2.1× 13 0.0× 62 0.2× 173 0.6× 80 3.5k
Virginia Espina United States 49 5.0k 4.6× 417 0.5× 21 0.1× 190 0.6× 534 1.8× 152 7.3k
Vicky Caveliers Belgium 40 2.1k 1.9× 829 0.9× 50 0.1× 52 0.2× 160 0.5× 108 5.1k

Countries citing papers authored by Jan Petersen

Since Specialization
Citations

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

Fields of papers citing papers by Jan Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Petersen

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Petersen. A scholar is included among the top collaborators of Jan Petersen 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 Jan Petersen. Jan Petersen 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.
Quiñones‐Parra, Sergio M., Stéphanie Gras, Thi H. O. Nguyen, et al.. (2025). Molecular determinants of cross-strain influenza A virus recognition by αβ T cell receptors. Science Immunology. 10(104). eadn3805–eadn3805. 1 indexed citations
2.
Petersen, Jan, et al.. (2024). Crystal structure of the human LAG-3–HLA-DR1–peptide complex. Science Immunology. 9(102). eads5122–eads5122. 4 indexed citations
3.
Garde, Martijn D. B. van de, Kristin Ladell, Carine Farenc, et al.. (2023). CD4+ T cell-mediated recognition of a conserved cholesterol-dependent cytolysin epitope generates broad antibacterial immunity. Immunity. 56(5). 1082–1097.e6. 5 indexed citations
4.
Frick, Rahel, Lene S. Høydahl, Jan Petersen, et al.. (2021). A high-affinity human TCR-like antibody detects celiac disease gluten peptide–MHC complexes and inhibits T cell activation. Science Immunology. 6(62). 18 indexed citations
5.
Rowntree, Louise C., Jan Petersen, Jennifer A. Juno, et al.. (2021). SARS‐CoV‐2‐specific CD8+ T‐cell responses and TCR signatures in the context of a prominent HLA‐A*24:02 allomorph. Immunology and Cell Biology. 99(9). 990–1000. 18 indexed citations
6.
Ting, Yi Tian, Shiva Dahal‐Koirala, Shuo‐Wang Qiao, et al.. (2020). A molecular basis for the T cell response in HLA-DQ2.2 mediated celiac disease. Proceedings of the National Academy of Sciences. 117(6). 3063–3073. 44 indexed citations
7.
Petersen, Jan, Mai T. Tran, Khai Lee Loh, et al.. (2019). T cell receptor cross-reactivity between gliadin and bacterial peptides in celiac disease. Nature Structural & Molecular Biology. 27(1). 49–61. 76 indexed citations
8.
Geiger, Daniel, et al.. (2019). Biosynthetic approach to combine the first steps of cardenolide formation in Saccharomyces cerevisiae. MicrobiologyOpen. 8(12). e925–e925. 10 indexed citations
9.
Dendrou, Calliope A., Jan Petersen, Jamie Rossjohn, & Lars Fugger. (2018). HLA variation and disease. Nature reviews. Immunology. 18(5). 325–339. 455 indexed citations breakdown →
10.
Ting, Yi Tian, Jan Petersen, Sri H. Ramarathinam, et al.. (2018). The interplay between citrullination and HLA-DRB1 polymorphism in shaping peptide binding hierarchies in rheumatoid arthritis. Journal of Biological Chemistry. 293(9). 3236–3251. 73 indexed citations
11.
Petersen, Jan, et al.. (2016). Einfluss der Integration von ALS-toleranten Zuckerrüben in eine Fruchtfolge auf die Entwicklung von herbizidresistenten Unkräutern. Julius-Kühn-Archiv. 185–186. 1 indexed citations
12.
Turina, Paola, Jan Petersen, & Peter Gräber. (2016). Thermodynamics of proton transport coupled ATP synthesis. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1857(6). 653–664. 28 indexed citations
13.
Petersen, Jan, et al.. (2016). PRISE (progesterone 5β-reductases/iridoid synthases): Their roles in specialized plant metabolism. Planta Medica. 81(S 01). S1–S381. 2 indexed citations
14.
Scally, S.W., Jan Petersen, Soi Cheng Law, et al.. (2013). A molecular basis for the association of the HLA-DRB1 locus, citrullination, and rheumatoid arthritis. The Journal of Experimental Medicine. 210(12). 2569–2582. 308 indexed citations
15.
Baurain, Denis, Henner Brinkmann, Jan Petersen, et al.. (2010). Phylogenomic Evidence for Separate Acquisition of Plastids in Cryptophytes, Haptophytes, and Stramenopiles. Molecular Biology and Evolution. 27(7). 1698–1709. 164 indexed citations
17.
Petersen, Jan, Karl Fisher, & David Lowe. (2008). Structural basis for VO2+ inhibition of nitrogenase activity (A): 31P and 23Na interactions with the metal at the nucleotide binding site of the nitrogenase Fe protein identified by ENDOR spectroscopy. JBIC Journal of Biological Inorganic Chemistry. 13(4). 623–635. 5 indexed citations
18.
Fisher, Karl, David Lowe, & Jan Petersen. (2006). Vanadium(v) is reduced by the ‘as isolated’ nitrogenase Fe-protein at neutral pH. Chemical Communications. 2807–2809. 5 indexed citations
20.
McKean, H. P. & Jan Petersen. (1962). A Pie Problem (Larry Shepp). SIAM Review. 4(1). 49–51.

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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