Jay C. Vary

70 papers receiving 3.4k citations

Jay C. Vary's Hit Papers

Host Genotype-Specific Therapies Can Optimize the Inflammatory Response to Mycobacterial Infections 2012 · 426 citations
4260+4+9Years since publication100200300400

Peers

Jay C. Vary
Comparison fields: 5 of 133
  • Endocrinology 692
  • Infectious Diseases 973
  • Biotechnology 272
  • Molecular Medicine 143
  • Food Science 408
Replace Stuart J. Cordwell with:
Stuart J. Cordwell Australia
Hui Sun China
Masatoshi Noda Japan
M. S. Blake United States
Rolf Freter United States
Kenneth H. Johnston United States
Bożena Korczak Switzerland
Günter Schmidt Germany
Gérard Strecker France
Ernesto Nakayasu United States
Jay C. Vary relative to Stuart J. Cordwell Australia Stuart J. Cordwell's profile →
Citations per field
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Stuart J. Cordwell · 1×
Citations per year

Countries citing papers authored by Jay C. Vary

Since Specialization
Citations

This map shows the geographic impact of Jay C. Vary'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. Vary 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. Vary more than expected).

Fields of papers citing papers by Jay C. Vary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jay C. Vary, 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 C. Vary Line = papers co-authored together Jay C. Vary links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Host Genotype-Specific Therapies Can Optimize the Inflammatory Response to Mycobacterial Infections
Hit paper breakdown →
2012426
2 2010410
3 2000295
4 2001203
5 2003164
6 1985146
7 1996143
8 2000141
9 2002119
10 1998116
11 1965109
12 201299
13 201083
14 199682
15 197379
16 196663
17 201555
18 200655
19 200442
20 196842

About Jay C. Vary

Jay C. Vary is a scholar working on Molecular Biology, Genetics, Ecology, Food Science and Infectious Diseases, having authored 70 papers that have together received 3.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (19 papers), Bacteriophages and microbial interactions (12 papers), Enzyme Structure and Function (7 papers), Probiotics and Fermented Foods (6 papers), Escherichia coli research studies (5 papers), Microbial Inactivation Methods (5 papers), Mycobacterium research and diagnosis (4 papers) and Bacillus and Francisella bacterial research (4 papers). The work is most often cited by research in Endocrinology (692 citations), Infectious Diseases (973 citations), Biotechnology (272 citations), Molecular Medicine (143 citations) and Food Science (408 citations). Jay C. Vary has collaborated with scholars based in United States, United Kingdom and Vietnam. Frequent co-authors include Phillip I. Tarr, S S Bilge, Thomas R. Hawn, H. O. Halvorson, D. A. Soucek, Nguyen Duc Bang, Sarah J. Dunstan, Mary‐Claire King, Lalita Ramakrishnan and David M. Tobin. Their work appears in journals such as Journal of Bacteriology, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences, Biochimica et Biophysica Acta (BBA) - Biomembranes and Infection and Immunity.

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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