Jeremy Smith

58 total papers · 763 total citations
28 papers, 484 citations indexed

About

Jeremy Smith is a scholar working on Infectious Diseases, Epidemiology and Oncology. According to data from OpenAlex, Jeremy Smith has authored 28 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 10 papers in Epidemiology and 5 papers in Oncology. Recurrent topics in Jeremy Smith's work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (4 papers) and Vaccine Coverage and Hesitancy (4 papers). Jeremy Smith is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (4 papers) and Vaccine Coverage and Hesitancy (4 papers). Jeremy Smith collaborates with scholars based in United States, Canada and Netherlands. Jeremy Smith's co-authors include Nancy E. Morden, Jonathan Skinner, Todd A. MacKenzie, Yinong Young‐Xu, Lawrence Corey, Murray Korc, Michael Boeckh, Meei‐Li Huang, Stephen K. Liu and Caroline Korves and has published in prestigious journals such as Blood, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Jeremy Smith

27 papers receiving 476 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jeremy Smith 173 121 97 97 65 28 484
Constantinos A. Parisinos 195 1.1× 51 0.4× 65 0.7× 50 0.5× 45 0.7× 27 551
Elaheh Abdollahi 91 0.5× 244 2.0× 58 0.6× 36 0.4× 57 0.9× 12 547
Gowtham Rao 111 0.6× 124 1.0× 29 0.3× 35 0.4× 34 0.5× 24 452
Juan Li 127 0.7× 101 0.8× 33 0.3× 77 0.8× 49 0.8× 33 507
Anna Ostropolets 57 0.3× 107 0.9× 55 0.6× 22 0.2× 25 0.4× 33 448
Liqing Cheng 89 0.5× 212 1.8× 85 0.9× 92 0.9× 24 0.4× 24 530
Elena Roel 143 0.8× 177 1.5× 21 0.2× 41 0.4× 60 0.9× 15 440
S. Leone 130 0.8× 97 0.8× 33 0.3× 88 0.9× 12 0.2× 42 449
Amen Bawazir 160 0.9× 76 0.6× 13 0.1× 100 1.0× 23 0.4× 38 469
Elder Granger 84 0.5× 55 0.5× 42 0.4× 78 0.8× 28 0.4× 28 420

Countries citing papers authored by Jeremy Smith

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Smith

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

All Works

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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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