Gary Wilcox

1.9k citations
56 papers · 1.6k · h-index 22

Impact in

    • Escherichia coli research studies
  • Genetics top 5%
    • Bacterial Genetics and Biotechnology

Papers in

    • RNA and protein synthesis mechanisms 14
    • Protein Structure and Dynamics 6
    • Bacterial Genetics and Biotechnology 22
    • Digestive system and related health 7

Gary Wilcox

56 papers receiving 1.4k citations

Peers

Gary Wilcox
Comparison fields: 5 of 81
  • Endocrinology 130
  • Genetics 629
  • Molecular Biology 1.1k
  • Biotechnology 128
  • Microbiology 70
Replace Toshio Fukasawa with:
Toshio Fukasawa Japan
Edith Brickman United States
Manuel Dagert Venezuela
H W Boyer United States
J R Beckwith United States
B. Duclos France
Maryse Murgier France
Saeko Mizusawa Japan
A.J. Cozzone France
Josette Pidoux France
Gary Wilcox relative to Toshio Fukasawa Japan Toshio Fukasawa's profile →
Citations per field
00.5×1.5×
Toshio Fukasawa · 1×
Citations per year

Countries citing papers authored by Gary Wilcox

Since Specialization
Citations

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

Fields of papers citing papers by Gary Wilcox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987228
2 1985142
3 1974109
4 197467
5 198467
6 197852
7 199350
8 198049
9 198545
10 198043
11 199342
12 197441
13 198239
14 198532
15 197429
16 197429
17 198827
18 197126
19 198225
20 198025

About Gary Wilcox

Gary Wilcox is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Endocrinology, Diabetes and Metabolism and Endocrinology, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (22 papers), Enzyme Structure and Function (17 papers), Diet, Metabolism, and Disease (15 papers), RNA and protein synthesis mechanisms (14 papers), Escherichia coli research studies (7 papers), Digestive system and related health (7 papers), Protein Structure and Dynamics (6 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Endocrinology (130 citations), Genetics (629 citations), Molecular Biology (1.1k citations), Biotechnology (128 citations) and Microbiology (70 citations). Gary Wilcox has collaborated with scholars based in United States, Slovakia and Australia. Frequent co-authors include Shau-Ping Lei, Ellis Englesberg, Hun-Chi Lin, Hui‐Ching Lin, C. Garrett Miyada, J. C. Callaway, Arnold H. Horwitz, Lawrence Greenfield, Thomas C. Boone and Nancy Lee. Their work appears in journals such as Journal of Bacteriology, Gene, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Analytical Biochemistry.

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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