Jean K. Millet

6.5k citations
40 papers · 4.3k indexed · 3 hit papers · h-index 23
Topics
SARS-CoV-2 and COVID-19 Research (27 papers)Animal Virus Infections Studies (25 papers)Virus-based gene therapy research (14 papers)

In The Last Decade

Jean K. Millet

39 papers receiving 4.2k citations

Hit Papers

Mechanisms of Coronavirus Cell Entry Mediated by the Vira...2012202620162021201220142014250500750

Peers

Jean K. Millet
Comparison fields: 5 of 122
  • Infectious Diseases 3.4k
  • Animal Science and Zoology 1.2k
  • Molecular Biology 899
  • Genetics 519
  • Epidemiology 371
Replace Jessika C. Zevenhoven-Dobbe with:
Jessika C. Zevenhoven-Dobbe Netherlands
Shutoku Matsuyama Japan
Guangwen Lu China
Sandrine Belouzard France
Zhaohui Qian China
Burtram C. Fielding South Africa
Ronald Dijkman Switzerland
Bruno Coutard France
Xuanling Shi China
Qibin Geng United States
Jean K. Millet relative to Jessika C. Zevenhoven-Dobbe Netherlands Jessika C. Zevenhoven-Dobbe's profile →
Citations per field
00.5×1.5×
Jessika C. Zevenhoven-Dobbe · 1×
Citations per year

Countries citing papers authored by Jean K. Millet

Since Specialization
Citations

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

Fields of papers citing papers by Jean K. Millet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean K. Millet. 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 Jean K. Millet. The network helps show where Jean K. Millet may publish in the future.

Co-authorship network of co-authors of Jean K. Millet

This figure shows the co-authorship network connecting the top 25 collaborators of Jean K. Millet. A scholar is included among the top collaborators of Jean K. Millet 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 Jean K. Millet. Jean K. Millet 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
#WorkIndexed citations
1 1
2 1
3 7
4 5
5 48
6 87
7 94
8 9
9 11
10 56
11 214
12 67
13 24
14 51
15 113
16 17
17
Host cell proteases: Critical determinants of coronavirus tropism and pathogenesisbreakdown →
662
18 61
19 39
20 43

About Jean K. Millet

Jean K. Millet is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics, having authored 40 papers that have together received 4.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (27 papers), Animal Virus Infections Studies (25 papers) and Virus-based gene therapy research (14 papers). The work is most often cited by research in Infectious Diseases (3.4k citations), Animal Science and Zoology (1.2k citations) and Modeling and Simulation (134 citations). Jean K. Millet has collaborated with scholars based in United States, France and Hong Kong. Frequent co-authors include Gary R. Whittaker, Beth N. Licitra, Sandrine Belouzard, Javier A. Jaimes, Nicole M. André, Susan Daniel, Joshua S. Chappie, Jack H. Freed, Alex L. Lai and Alison E. Stout. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biomaterials.

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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