Jay C. Nix
Impact in
- Infectious Diseases top 2%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
- Molecular Medicine top 5%
Papers in
-
- RNA and protein synthesis mechanisms 12
- Heat shock proteins research 9
- Protein Structure and Dynamics 8
- RNA modifications and cancer 7
- RNA Research and Splicing 6
- Biochemical and Molecular Research 6
-
- Enzyme Structure and Function 15
- Co-authors
- Jeffrey S. Kieft (7 shared papers)David A. Costantino (6 shared papers)Saurav Misra (9 shared papers)Richard C. Page (16 shared papers)Django Sussman (3 shared papers)Chick C. Wilson (2 shared papers)Zhen Xu (6 shared papers)Richard B. Honzatko (7 shared papers)
- Journals
- Journal of Biological Chemistry (7 papers)Biochemistry (7 papers)Journal of Molecular Biology (7 papers)Structure (5 papers)Nature Communications (3 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Jay C. Nix
87 papers receiving 3.2k citations
Jay C. Nix's Hit Papers
Peers
Comparison fields: 5 of 120
- Infectious Diseases 879
- Molecular Medicine 170
- Molecular Biology 1.9k
- Endocrinology 79
- Cell Biology 225
Countries citing papers authored by Jay C. Nix
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
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-authors
The 25 scholars most cited alongside Jay C. Nix, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structural basis of SARS-CoV-2 Omicron immune evasion and receptor engagement Hit paper breakdown → | 2022 | 311 |
| 2 | 2014 | 195 | |
| 3 | 2016 | 178 | |
| 4 | 2010 | 166 | |
| 5 | 2009 | 127 | |
| 6 | 2008 | 108 | |
| 7 | 2012 | 88 | |
| 8 | 2016 | 87 | |
| 9 | 2000 | 84 | |
| 10 | 2018 | 82 | |
| 11 | 2009 | 81 | |
| 12 | 2009 | 79 | |
| 13 | 2008 | 78 | |
| 14 | 1998 | 74 | |
| 15 | 2014 | 73 | |
| 16 | 2015 | 72 | |
| 17 | 2008 | 65 | |
| 18 | 2013 | 59 | |
| 19 | 2017 | 54 | |
| 20 | 2014 | 53 |
About Jay C. Nix
Jay C. Nix is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Immunology and Plant Science, 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), Heat shock proteins research (9 papers), Protein Structure and Dynamics (8 papers), RNA modifications and cancer (7 papers), Antibiotic Resistance in Bacteria (7 papers), RNA Research and Splicing (6 papers) and Biochemical and Molecular Research (6 papers). The work is most often cited by research in Infectious Diseases (879 citations), Molecular Medicine (170 citations), Molecular Biology (1.9k citations), Endocrinology (79 citations) and Cell Biology (225 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 Journal of Biological Chemistry, Biochemistry, Journal of Molecular Biology, Structure and Nature Communications.
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.