Jay C. Nix

7.7k citations
89 papers · 3.3k indexed · 1 hit paper · h-index 33
Topics
Enzyme Structure and Function (15 papers)RNA and protein synthesis mechanisms (12 papers)Heat shock proteins research (9 papers)

In The Last Decade

Jay C. Nix

87 papers receiving 3.2k citations

Hit Papers

Structural basis of SARS-CoV-2 Omicron immune evasion and...20222026202320242022100200300

Peers

Jay C. Nix
Comparison fields: 5 of 120
  • Molecular Biology 1.9k
  • Infectious Diseases 879
  • Immunology 274
  • Public Health, Environmental and Occupational Health 273
  • Epidemiology 269
Replace Dominika Borek with:
Dominika Borek United States
Swati Jain United States
Erik C. Hett United States
Raymond J. Owens United Kingdom
Gira Bhabha United States
Damian C. Ekiert United States
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L.N. Deis United States
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Jay C. Nix relative to Dominika Borek United States Dominika Borek's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jay C. Nix

Since Specialization
Citations

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

Fields of papers citing papers by Jay C. Nix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay C. Nix. 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 Jay C. Nix. The network helps show where Jay C. Nix may publish in the future.

Co-authorship network of co-authors of Jay C. Nix

This figure shows the co-authorship network connecting the top 25 collaborators of Jay C. Nix. A scholar is included among the top collaborators of Jay C. Nix 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 Jay C. Nix. Jay C. Nix 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 0
2 3
3 0
4 5
5
Structural basis of SARS-CoV-2 Omicron immune evasion and receptor engagementbreakdown →
311
6 10
7 18
8 6
9 5
10 32
11 82
12 11
13 54
14 47
15 4
16 6
17 48
18 127
19 79
20 31

About Jay C. Nix

Jay C. Nix is a scholar working on Molecular Medicine, Molecular Biology and Infectious Diseases, having authored 89 papers that have together received 3.3k indexed citations. Recurring topics across this work include Enzyme Structure and Function (15 papers), RNA and protein synthesis mechanisms (12 papers) and Heat shock proteins research (9 papers). The work is most often cited by research in Infectious Diseases (879 citations), Molecular Medicine (170 citations) and Molecular Biology (1.9k citations). Jay C. Nix has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Jeffrey S. Kieft, David A. Costantino, Saurav Misra, Richard C. Page, Django Sussman, Chick C. Wilson, Zhen Xu, Richard B. Honzatko, Gaya K. Amarasinghe and Daisy W. Leung. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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