Jay Tracy

1.7k citations
13 papers · 1.3k · 1 hit paper · h-index 11

Impact in

  • Physiology top 2%
    • Alzheimer's disease research and treatments
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing

Papers in

    • Alzheimer's disease research and treatments 9
    • SARS-CoV-2 and COVID-19 Research 2
    • SARS-CoV-2 detection and testing 1

Jay Tracy

13 papers receiving 1.3k citations

Jay Tracy's Hit Papers

Global disparities in SARS-CoV-2 genomic surveillance 2022 · 187 citations
1870+1+2Years since publication50100150

Peers

Jay Tracy
Comparison fields: 5 of 83
  • Physiology 681
  • Infectious Diseases 162
  • Genetics 64
  • Neurology 50
  • Modeling and Simulation 29
Replace Jose G. Gurrola with:
Jose G. Gurrola United States
Hubert Martin Germany
Despina Yancopoulou United States
Abdelilah Majdoubi Canada
Philipp Schwenkenbecher Germany
Jara Cárcel‐Márquez Spain
Austin B. Bigley United States
Steve G. Hughes United States
Satish Vasant Khadilkar India
Elisabetta Zardini Italy
Jay Tracy relative to Jose G. Gurrola United States Jose G. Gurrola's profile →
Citations per field
00.5×5×10×16.2×
Jose G. Gurrola · 1×
Citations per year

Countries citing papers authored by Jay Tracy

Since Specialization
Citations

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

Fields of papers citing papers by Jay Tracy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jay Tracy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay Tracy Line = papers co-authored together Jay Tracy links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2003639
2 2002194
3
Global disparities in SARS-CoV-2 genomic surveillance
Hit paper breakdown →
2022187
4 200299
5 200656
6 200435
7 202133
8 200925
9 200416
10 200516
11 200414
12 200411
13 20058

About Jay Tracy

Jay Tracy is a scholar working on Physiology, Infectious Diseases, Modeling and Simulation, Surgery and Nuclear Energy and Engineering, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Tissue Engineering and Regenerative Medicine (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), SARS-CoV-2 detection and testing (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Physiology (681 citations), Infectious Diseases (162 citations), Genetics (64 citations), Neurology (50 citations) and Modeling and Simulation (29 citations). Jay Tracy has collaborated with scholars based in Switzerland, Australia and Germany. Frequent co-authors include Roger M. Nitsch, Marc Axel Wollmer, Christoph Höck, Eva Moritz, Andreas Papassotiropoulos, Alessia S. Maddalena, Dominique J.‐F. de Quervain, Katharina Henke, Andri Signorell and Uwe Konietzko. Their work appears in journals such as Neurodegenerative Diseases, FEBS Letters, Neurobiology of Disease, Epidemics 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.

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