J. W. GREGOR

10.4k citations
5 papers · 6.1k indexed · 1 hit paper · h-index 5

Impact in

  • Endocrinology top 0.5%
    • Escherichia coli research studies
  • Genetics top 0.5%
    • Bacterial Genetics and Biotechnology

Papers in

J. W. GREGOR

5 papers receiving 5.9k citations

Hit Papers

The Complete Genome Sequence of Escherichia coli K-12 1997 · 5.9k citations
5.9k199720262006201610002.0k3.0k4.0k5.0k

Peers

J. W. GREGOR
Comparison fields: 5 of 136
  • Endocrinology 936
  • Genetics 2.7k
  • Molecular Medicine 423
  • Molecular Biology 4.3k
  • Ecology 1.3k
Replace Monica Riley with:
Monica Riley United States
Claude Lazdunski France
J Beckwith United States
Yukinori Hirota Japan
B Bachmann Germany
Alvin J. Clark United States
G. Bertani United States
Robert J. Kadner United States
Richard D’Ari France
Sidney R. Kushner United States
J. W. GREGOR relative to Monica Riley United States Monica Riley's profile →
Citations per field
00.5×1.5×
Monica Riley · 1×
Citations per year

Countries citing papers authored by J. W. GREGOR

Since Specialization
Citations

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

Fields of papers citing papers by J. W. GREGOR

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. W. GREGOR. 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 J. W. GREGOR. The network helps show where J. W. GREGOR may publish in the future.

Co-authors

The 18 scholars most cited alongside J. W. GREGOR, 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 J. W. GREGOR Line = papers co-authored together J. W. GREGOR links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About J. W. GREGOR

J. W. GREGOR is a scholar working on Ecology, Evolution, Behavior and Systematics, Pharmacology, Genetics, Plant Science and Ecology, having authored 5 papers that have together received 6.1k indexed citations. Recurring topics across this work include Botany and Plant Ecology Studies (2 papers), Plant Taxonomy and Phylogenetics (2 papers), Bacteriophages and microbial interactions (1 paper), Plant Ecology and Taxonomy Studies (1 paper), Plant and animal studies (1 paper), Yersinia bacterium, plague, ectoparasites research (1 paper), RNA and protein synthesis mechanisms (1 paper) and Plant-based Medicinal Research (1 paper). The work is most often cited by research in Endocrinology (936 citations), Genetics (2.7k citations), Molecular Medicine (423 citations), Molecular Biology (4.3k citations) and Ecology (1.3k citations). J. W. GREGOR has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Debra J. Rose, Frederick R. Blattner, Valerie Burland, Jeremy D. Glasner, Christopher K. Rode, Guy Plunkett, Nicole T. Perna, Monica Riley, Bob Mau and Heather Kirkpatrick. Their work appears in journals such as Science, Infection and Immunity, New Phytologist, Evolution and Proceedings of the Royal Society of London. Series B, Biological sciences.

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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