Cody Fine

770 citations
14 papers · 611 · h-index 11

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • interferon and immune responses
  • Genetics top 10%
    • Diabetes and associated disorders

Papers in

    • Immune Cell Function and Interaction 5
    • interferon and immune responses 3
    • T-cell and B-cell Immunology 3
    • Immunodeficiency and Autoimmune Disorders 2
    • Diabetes and associated disorders 8
    • Virus-based gene therapy research 2

Cody Fine

13 papers receiving 595 citations

Peers

Cody Fine
Comparison fields: 5 of 59
  • Immunology 303
  • Genetics 275
  • Cardiology and Cardiovascular Medicine 199
  • Infectious Diseases 87
  • Endocrinology, Diabetes and Metabolism 76
Replace Bryan Coon with:
Bryan Coon United States
Iryna Shanina Canada
Evelyn Rodrigo United States
Fred Preffer United States
Josh A. Noser United States
René R. Marty Switzerland
D. Huang Australia
Keith Bishop United States
Jeffrey D. Price United States
A Mire-Sluis United Kingdom
Cody Fine relative to Bryan Coon United States Bryan Coon's profile →
Citations per field
00.5×6.4×
Bryan Coon · 1×
Citations per year

Countries citing papers authored by Cody Fine

Since Specialization
Citations

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

Fields of papers citing papers by Cody Fine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Cody Fine, 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 Cody Fine Line = papers co-authored together Cody Fine links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2000121
2 200299
3 200291
4 200572
5 201552
6 199946
7 200145
8 200332
9 200616
10 200315
11 200712
12 20056
13 20024
14 20200

About Cody Fine

Cody Fine is a scholar working on Immunology, Genetics, Cardiology and Cardiovascular Medicine, Molecular Biology and Infectious Diseases, having authored 14 papers that have together received 611 indexed citations. Recurring topics across this work include Diabetes and associated disorders (8 papers), Immune Cell Function and Interaction (5 papers), Viral Infections and Immunology Research (4 papers), interferon and immune responses (3 papers), T-cell and B-cell Immunology (3 papers), Pancreatic function and diabetes (2 papers), Virus-based gene therapy research (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Immunology (303 citations), Genetics (275 citations), Cardiology and Cardiovascular Medicine (199 citations), Infectious Diseases (87 citations) and Endocrinology, Diabetes and Metabolism (76 citations). Cody Fine has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Nora Sarvetnick, Marc S. Horwitz, Alex Ilic, Enrique Rodrı́guez, Antonio La Cava, Malin Flodström‐Tullberg, Jae Lee, Troy Krahl, Monica Hultcrantz and Bryan Williams. Their work appears in journals such as Journal of Clinical Investigation, Journal of Autoimmunity, The Journal of Immunology, mAbs and Nature Medicine.

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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