Jonathan Abraham

3.3k total citations
34 papers, 1.4k citations indexed

About

Jonathan Abraham is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Jonathan Abraham has authored 34 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Infectious Diseases, 7 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Jonathan Abraham's work include Viral Infections and Outbreaks Research (14 papers), Viral Infections and Vectors (14 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Jonathan Abraham is often cited by papers focused on Viral Infections and Outbreaks Research (14 papers), Viral Infections and Vectors (14 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Jonathan Abraham collaborates with scholars based in United States, Argentina and China. Jonathan Abraham's co-authors include Hyeryun Choe, Michael Farzan, Sheli R. Radoshitzky, Christina F. Spiropoulou, Jens H. Kuhn, Paul J. Schmidt, Wenhui Li, Jack H. Nunberg, Nancy C. Andrews and Lars E. Clark and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jonathan Abraham

31 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Abraham United States 17 996 289 270 224 151 34 1.4k
Lisa A. Purcell United States 14 736 0.7× 317 1.1× 218 0.8× 293 1.3× 32 0.2× 26 1.4k
Florian Douam United States 21 568 0.6× 309 1.1× 317 1.2× 288 1.3× 76 0.5× 37 1.2k
Luca Simonelli Switzerland 13 532 0.5× 218 0.8× 117 0.4× 440 2.0× 68 0.5× 22 1.0k
Denys Brand France 20 401 0.4× 201 0.7× 410 1.5× 95 0.4× 64 0.4× 41 1.1k
Jason B. Dinoso United States 15 776 0.8× 208 0.7× 160 0.6× 78 0.3× 113 0.7× 21 1.2k
Masashi Tatsumi Japan 18 474 0.5× 335 1.2× 148 0.5× 74 0.3× 113 0.7× 63 1.1k
Mark Page United Kingdom 19 436 0.4× 275 1.0× 390 1.4× 54 0.2× 121 0.8× 71 1.2k
Yolanda Lie United States 22 1.4k 1.4× 565 2.0× 290 1.1× 43 0.2× 149 1.0× 57 2.0k
Anjali Joshi United States 23 488 0.5× 556 1.9× 358 1.3× 271 1.2× 151 1.0× 63 1.6k
Puck B. van Kasteren Netherlands 15 451 0.5× 300 1.0× 214 0.8× 55 0.2× 120 0.8× 32 1.0k

Countries citing papers authored by Jonathan Abraham

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Abraham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Abraham

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Abraham. A scholar is included among the top collaborators of Jonathan Abraham 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 Jonathan Abraham. Jonathan Abraham 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.
Mann, Colin, Pan Yang, Lars E. Clark, et al.. (2025). Molecular organization of the New World arenavirus spike glycoprotein complex. Nature Microbiology. 10(9). 2207–2220. 1 indexed citations
2.
Yang, Pan, Zishuo Yu, Barbara Ludeke, et al.. (2025). Structural and functional analysis of the Nipah virus polymerase complex. Cell. 188(3). 688–703.e18. 12 indexed citations
3.
Abraham, Jonathan, et al.. (2024). Buprenorphine as a Treatment for Severe Chemotherapy-Induced Neuropathy – A Case Report. Journal of Pain and Symptom Management. 67(5). e734–e734.
4.
Yang, Pan, Wanyu Li, Junhua Pan, et al.. (2024). Structural basis for VLDLR recognition by eastern equine encephalitis virus. Nature Communications. 15(1). 6548–6548. 13 indexed citations
5.
Hale, Malika, Jason Netland, Christopher D. Thouvenel, et al.. (2022). IgM antibodies derived from memory B cells are potent cross-variant neutralizers of SARS-CoV-2. The Journal of Experimental Medicine. 219(9). 24 indexed citations
6.
Sahtoe, Danny D., Adrian Coscia, Nur Mustafaoğlu, et al.. (2021). Transferrin receptor targeting by de novo sheet extension. Proceedings of the National Academy of Sciences. 118(17). 26 indexed citations
7.
Wellner, Alon, Conor McMahon, Morgan S. A. Gilman, et al.. (2021). Rapid generation of potent antibodies by autonomous hypermutation in yeast. Nature Chemical Biology. 17(10). 1057–1064. 77 indexed citations
8.
Koma, Takaaki, Cheng Huang, Adrian Coscia, et al.. (2021). Glycoprotein N-linked glycans play a critical role in arenavirus pathogenicity. PLoS Pathogens. 17(3). e1009356–e1009356. 16 indexed citations
9.
Clark, Lars E., Sarah A. Clark, Jianying Liu, et al.. (2021). VLDLR and ApoER2 are receptors for multiple alphaviruses. Nature. 602(7897). 475–480. 73 indexed citations
10.
Stern‐Ginossar, Noam, Thirumala‐Devi Kanneganti, Craig E. Cameron, et al.. (2021). Rising to the challenge of COVID-19: Working on SARS-CoV-2 during the pandemic. Molecular Cell. 81(11). 2261–2265. 1 indexed citations
11.
Coen, Donald M., et al.. (2021). Herpesvirus DNA polymerase: Structures, functions, and mechanisms. ˜The œEnzymes. 50. 133–178. 11 indexed citations
12.
Abraham, Jonathan, et al.. (2021). Ponseti Casting vs. Soft Tissue Release for the Initial Treatment of Non-idiopathic Clubfoot. Frontiers in Surgery. 8. 668334–668334. 3 indexed citations
13.
Clark, Sarah A., Lars E. Clark, Junhua Pan, et al.. (2021). SARS-CoV-2 evolution in an immunocompromised host reveals shared neutralization escape mechanisms. Cell. 184(10). 2605–2617.e18. 107 indexed citations
14.
Clark, Lars E., et al.. (2016). Molecular Basis for Antibody-Mediated Neutralization of New World Hemorrhagic Fever Mammarenaviruses. Cell Host & Microbe. 19(3). 424–424. 1 indexed citations
15.
Clark, Lars E., et al.. (2015). Molecular Basis for Antibody-Mediated Neutralization of New World Hemorrhagic Fever Mammarenaviruses. Cell Host & Microbe. 18(6). 705–713. 39 indexed citations
16.
Demogines, Ann, Jonathan Abraham, Hyeryun Choe, Michael Farzan, & Sara L. Sawyer. (2013). Dual Host-Virus Arms Races Shape an Essential Housekeeping Protein. PLoS Biology. 11(5). e1001571–e1001571. 98 indexed citations
17.
Choe, Hyeryun, Stephanie Jemielity, Jonathan Abraham, Sheli R. Radoshitzky, & Michael Farzan. (2011). Transferrin receptor 1 in the zoonosis and pathogenesis of New World hemorrhagic fever arenaviruses. Current Opinion in Microbiology. 14(4). 476–482. 40 indexed citations
18.
Abraham, Jonathan, Kevin D. Corbett, Michael Farzan, Hyeryun Choe, & Stephen C. Harrison. (2010). Structural basis for receptor recognition by New World hemorrhagic fever arenaviruses. Nature Structural & Molecular Biology. 17(4). 438–444. 118 indexed citations
19.
Abraham, Jonathan, César G. Albariño, Sheli R. Radoshitzky, et al.. (2009). Host-Species Transferrin Receptor 1 Orthologs Are Cellular Receptors for Nonpathogenic New World Clade B Arenaviruses. PLoS Pathogens. 5(4). e1000358–e1000358. 88 indexed citations
20.
Radoshitzky, Sheli R., Jonathan Abraham, Christina F. Spiropoulou, et al.. (2007). Transferrin receptor 1 is a cellular receptor for New World haemorrhagic fever arenaviruses. Nature. 446(7131). 92–96. 333 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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