John E. Gavagan

989 citations
22 papers · 786 · h-index 17

Impact in

Papers in

    • Enzyme Catalysis and Immobilization 13
    • Microbial Metabolic Engineering and Bioproduction 6
    • Fungal and yeast genetics research 3
    • Amino Acid Enzymes and Metabolism 6

John E. Gavagan

21 papers receiving 759 citations

Peers

John E. Gavagan
Comparison fields: 5 of 76
  • Biochemistry 110
  • Agronomy and Crop Science 120
  • Biotechnology 94
  • Molecular Biology 492
  • Social Psychology 128
Replace Shinichi Ohashi with:
Shinichi Ohashi Japan
O P Bahl United States
Christopher R. Meyer United States
Ling Zheng United States
Ranjana Jaiwal India
Ian T. Forrester New Zealand
L. L. Kastenschmidt United States
Jayeeta Banerjee India
Xiaofei Guo China
Haijuan Liu China
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Citations per field
00.5×10×13.8×
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Citations per year

Countries citing papers authored by John E. Gavagan

Since Specialization
Citations

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

Fields of papers citing papers by John E. Gavagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Gavagan. 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 John E. Gavagan. The network helps show where John E. Gavagan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976200
2 199971
3 200345
4 199844
5 199943
6 199641
7 199738
8 200335
9 200534
10 199533
11 200132
12 199524
13 199423
14 200522
15 199721
16 199320
17 200219
18 197816
19 200314
20 19978

About John E. Gavagan

John E. Gavagan is a scholar working on Molecular Biology, Biochemistry, Biotechnology, Surgery and Organic Chemistry, having authored 22 papers that have together received 786 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (13 papers), Amino Acid Enzymes and Metabolism (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Pancreatic function and diabetes (4 papers), Fungal and yeast genetics research (3 papers), Biochemical and biochemical processes (3 papers), Enzyme-mediated dye degradation (3 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Biochemistry (110 citations), Agronomy and Crop Science (120 citations), Biotechnology (94 citations), Molecular Biology (492 citations) and Social Psychology (128 citations). John E. Gavagan has collaborated with scholars based in United States. Frequent co-authors include Robert DiCosimo, J.S. Roberts, John A. McCracken, Melvyn S. Soloff, Mark S. Payne, Susan K. Fager, Eugenia C. Hann, David L. Anton, Robert D. Fallon and John E. Seip. Their work appears in journals such as Applied Microbiology and Biotechnology, The Journal of Organic Chemistry, Gene, Journal of Molecular Catalysis B Enzymatic and Bioorganic & Medicinal Chemistry.

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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