Jesse D. Bloom

30.1k total citations · 14 hit papers
148 papers, 13.1k citations indexed

About

Jesse D. Bloom is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Jesse D. Bloom has authored 148 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 57 papers in Infectious Diseases and 54 papers in Epidemiology. Recurrent topics in Jesse D. Bloom's work include Influenza Virus Research Studies (48 papers), SARS-CoV-2 and COVID-19 Research (44 papers) and RNA and protein synthesis mechanisms (27 papers). Jesse D. Bloom is often cited by papers focused on Influenza Virus Research Studies (48 papers), SARS-CoV-2 and COVID-19 Research (44 papers) and RNA and protein synthesis mechanisms (27 papers). Jesse D. Bloom collaborates with scholars based in United States, South Africa and United Kingdom. Jesse D. Bloom's co-authors include Frances H. Arnold, Allison J. Greaney, Tyler N. Starr, Adam S. Dingens, Katharine H. D. Crawford, Christopher R. Otey, Claus O. Wilke, D. Allan Drummond, Christoph Adami and David Baltimore and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jesse D. Bloom

145 papers receiving 13.0k citations

Hit Papers

Deep Mutational Scannin... 2005 2026 2012 2019 2020 2006 2021 2005 2020 250 500 750 1000
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. Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding
    2020 1.1k citations Tyler N. Starr, Allison J. Greaney et al. profile →
  2. Protein stability promotes evolvability
    2006 913 citations Jesse D. Bloom, Christopher R. Otey et al. Proceedings of the National Academy of Sciences profile →
  3. Comprehensive mapping of mutations in the SARS-CoV-2 receptor-binding domain that affect recognition by polyclonal human plasma antibodies
    2021 632 citations Allison J. Greaney, Andrea N. Loes et al. profile →
  4. Why highly expressed proteins evolve slowly
    2005 610 citations D. Allan Drummond, Jesse D. Bloom et al. Proceedings of the National Academy of Sciences profile →
  5. Complete Mapping of Mutations to the SARS-CoV-2 Spike Receptor-Binding Domain that Escape Antibody Recognition
    2020 568 citations Allison J. Greaney, Tyler N. Starr et al. profile →
  6. Permissive Secondary Mutations Enable the Evolution of Influenza Oseltamivir Resistance
    2010 511 citations Jesse D. Bloom, David Baltimore et al. Science profile →
  7. Prospective mapping of viral mutations that escape antibodies used to treat COVID-19
    2021 448 citations Tyler N. Starr, Allison J. Greaney et al. Science profile →
  8. Protocol and Reagents for Pseudotyping Lentiviral Particles with SARS-CoV-2 Spike Protein for Neutralization Assays
    2020 435 citations Katharine H. D. Crawford, Rachel Eguia et al. profile →
  9. In the light of directed evolution: Pathways of adaptive protein evolution
    2009 346 citations Jesse D. Bloom, Frances H. Arnold Proceedings of the National Academy of Sciences profile →
  10. Complete map of SARS-CoV-2 RBD mutations that escape the monoclonal antibody LY-CoV555 and its cocktail with LY-CoV016
    2021 280 citations Tyler N. Starr, Allison J. Greaney et al. profile →
  11. Mapping mutations to the SARS-CoV-2 RBD that escape binding by different classes of antibodies
    2021 205 citations Allison J. Greaney, Tyler N. Starr et al. profile →
  12. Shifting mutational constraints in the SARS-CoV-2 receptor-binding domain during viral evolution
    2022 157 citations Tyler N. Starr, Allison J. Greaney et al. Science profile →
  13. ACE2 binding is an ancestral and evolvable trait of sarbecoviruses
    2022 108 citations Tyler N. Starr, Alexandra C. Walls et al. profile →
  14. A pseudovirus system enables deep mutational scanning of the full SARS-CoV-2 spike
    2023 85 citations Katharine H. D. Crawford, Caelan E. Radford et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesse D. Bloom United States 57 6.9k 5.7k 2.4k 2.3k 1.3k 148 13.1k
David Veesler United States 48 5.7k 0.8× 10.8k 1.9× 1.1k 0.4× 1.4k 0.6× 1.3k 0.9× 111 15.7k
F.A. Rey France 64 3.9k 0.6× 9.3k 1.6× 1.2k 0.5× 4.9k 2.2× 1.6k 1.2× 202 17.8k
Matthew Cotten United Kingdom 58 7.5k 1.1× 3.2k 0.6× 4.0k 1.6× 1.3k 0.6× 1.3k 1.0× 175 12.4k
Gary R. Whittaker United States 57 3.7k 0.5× 6.9k 1.2× 1.9k 0.8× 3.2k 1.4× 1.9k 1.4× 167 12.4k
Bruno Canard France 69 5.4k 0.8× 9.0k 1.6× 1.1k 0.4× 2.4k 1.0× 1.8k 1.3× 266 16.5k
Alexandra C. Walls United States 26 3.8k 0.5× 9.5k 1.7× 639 0.3× 901 0.4× 972 0.7× 32 11.9k
M. Alejandra Tortorici United States 27 3.2k 0.5× 9.5k 1.6× 717 0.3× 1.0k 0.5× 999 0.7× 40 11.6k
Jinghua Yan China 48 2.7k 0.4× 5.7k 1.0× 497 0.2× 2.6k 1.1× 1.6k 1.2× 175 10.1k
Craig E. Cameron United States 59 5.3k 0.8× 4.3k 0.7× 1.9k 0.8× 2.5k 1.1× 930 0.7× 189 12.6k
Andrew B. Ward United States 70 8.3k 1.2× 6.4k 1.1× 781 0.3× 3.6k 1.6× 4.5k 3.3× 268 19.4k

Countries citing papers authored by Jesse D. Bloom

Since Specialization
Citations

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

Fields of papers citing papers by Jesse D. Bloom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesse D. Bloom. 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 Jesse D. Bloom. The network helps show where Jesse D. Bloom may publish in the future.

Co-authorship network of co-authors of Jesse D. Bloom

This figure shows the co-authorship network connecting the top 25 collaborators of Jesse D. Bloom. A scholar is included among the top collaborators of Jesse D. Bloom 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 Jesse D. Bloom. Jesse D. Bloom 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.
Radford, Caelan E. & Jesse D. Bloom. (2025). Comprehensive maps of escape mutations from antibodies 10-1074 and 3BNC117 for Envs from two divergent HIV strains. Journal of Virology. 99(5). e0019525–e0019525.
2.
Haddox, Hugh K., Jared Galloway, Angie S. Hinrichs, et al.. (2025). The mutation rate of SARS-CoV-2 is highly variable between sites and is influenced by sequence context, genomic region, and RNA structure. Nucleic Acids Research. 53(11). 3 indexed citations
3.
Simonich, Cassandra A., Xiaohui Ju, Timothy C. Yu, et al.. (2025). RSV F evolution escapes some monoclonal antibodies but does not strongly erode neutralization by human polyclonal sera. Journal of Virology. 99(7). e0053125–e0053125. 1 indexed citations
4.
Huddleston, John, Andrea N. Loes, S. Richard Turner, et al.. (2025). Near real-time data on the human neutralizing antibody landscape to influenza virus to inform vaccine-strain selection in September 2025. Virus Evolution. 11(1). veaf086–veaf086. 1 indexed citations
5.
Evans, Matthew J., et al.. (2023). The effect of single mutations in Zika virus envelope on escape from broadly neutralizing antibodies. Journal of Virology. 97(11). e0141423–e0141423. 9 indexed citations
6.
Addetia, Amin, Young‐Jun Park, Tyler N. Starr, et al.. (2023). Structural changes in the SARS-CoV-2 spike E406W mutant escaping a clinical monoclonal antibody cocktail. Cell Reports. 42(6). 112621–112621. 7 indexed citations
7.
Yu, Timothy C., William W. Hannon, William S. DeWitt, et al.. (2022). A biophysical model of viral escape from polyclonal antibodies. Virus Evolution. 8(2). veac110–veac110. 19 indexed citations
8.
Hannon, William W., Pavitra Roychoudhury, Hong Xie, et al.. (2022). Narrow transmission bottlenecks and limited within-host viral diversity during a SARS-CoV-2 outbreak on a fishing boat. Virus Evolution. 8(2). veac052–veac052. 10 indexed citations
9.
Greaney, Allison J., Tyler N. Starr, & Jesse D. Bloom. (2022). An antibody-escape estimator for mutations to the SARS-CoV-2 receptor-binding domain. Virus Evolution. 8(1). veac021–veac021. 73 indexed citations
10.
Walti, Carla S., Andrea N. Loes, Kiel Shuey, et al.. (2021). Humoral immunogenicity of the seasonal influenza vaccine before and after CAR-T-cell therapy: a prospective observational study. Journal for ImmunoTherapy of Cancer. 9(10). e003428–e003428. 32 indexed citations
11.
Starr, Tyler N., Allison J. Greaney, Amin Addetia, et al.. (2021). Prospective mapping of viral mutations that escape antibodies used to treat COVID-19. Science. 371(6531). 850–854. 448 indexed citations breakdown →
12.
Bloom, Jesse D.. (2021). Recovery of Deleted Deep Sequencing Data Sheds More Light on the Early Wuhan SARS-CoV-2 Epidemic. Molecular Biology and Evolution. 38(12). 5211–5224. 24 indexed citations
13.
Crawford, Katharine H. D., Adam S. Dingens, Rachel Eguia, et al.. (2020). Dynamics of Neutralizing Antibody Titers in the Months After Severe Acute Respiratory Syndrome Coronavirus 2 Infection. The Journal of Infectious Diseases. 223(2). 197–205. 152 indexed citations
14.
Xue, Katherine S. & Jesse D. Bloom. (2020). Linking influenza virus evolution within and between human hosts. Virus Evolution. 6(1). veaa010–veaa010. 38 indexed citations
15.
Lee, Juhye, John Huddleston, Michael B. Doud, et al.. (2018). Deep mutational scanning of hemagglutinin helps predict evolutionary fates of human H3N2 influenza variants. Proceedings of the National Academy of Sciences. 115(35). E8276–E8285. 117 indexed citations
16.
McCormick, Kevin D., Megan E. Gumina, Joshua G. Petrie, et al.. (2018). Sera from Individuals with Narrowly Focused Influenza Virus Antibodies Rapidly Select Viral Escape Mutations In Ovo. Journal of Virology. 92(19). 13 indexed citations
17.
Bloom, Jesse D., et al.. (2010). Permissive Secondary Mutations Enable the Evolution of Influenza Oseltamivir Resistance. Science. 328(5983). 1272–1275. 511 indexed citations breakdown →
18.
Bloom, Jesse D., et al.. (2006). Protein stability promotes evolvability. Proceedings of the National Academy of Sciences. 103(15). 5869–5874. 913 indexed citations breakdown →
19.
Drummond, D. Allan, Jesse D. Bloom, Christoph Adami, Claus O. Wilke, & Frances H. Arnold. (2005). Why highly expressed proteins evolve slowly. Proceedings of the National Academy of Sciences. 102(40). 14338–14343. 610 indexed citations breakdown →
20.
Bloom, Jesse D., Jonathan J. Silberg, Claus O. Wilke, et al.. (2005). Thermodynamic prediction of protein neutrality. Proceedings of the National Academy of Sciences. 102(3). 606–611. 271 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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