R E Gill
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- RNA and protein synthesis mechanisms 5
- Genomics and Phylogenetic Studies 4
- Genetics 7
- Bacterial Genetics and Biotechnology 7
- Animal Genetics and Reproduction 1
- Co-authors
- Stanley Falkow (2 shared papers)R Hull (1 shared paper)Barbara H. Minshew (1 shared paper)P Y Hsu (1 shared paper)Millard G. Cull (2 shared papers)Michael Koomey (1 shared paper)Michael L. Vasil (1 shared paper)David Benton (1 shared paper)
- Journals
- Journal of Bacteriology (7 papers)Infection and Immunity (3 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
R E Gill
12 papers receiving 912 citations
R E Gill's Hit Papers
Peers
Comparison fields: 5 of 72
- Endocrinology 353
- Molecular Medicine 121
- Genetics 433
- Microbiology 94
- Molecular Biology 507
Countries citing papers authored by R E Gill
This map shows the geographic impact of R E Gill'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 R E Gill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R E Gill more than expected).
Fields of papers citing papers by R E Gill
This network shows the impact of papers produced by R E Gill. 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 R E Gill. The network helps show where R E Gill may publish in the future.
Co-authors
The 15 scholars most cited alongside R E Gill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Construction and expression of recombinant plasmids encoding type 1 or D-mannose-resistant pili from a urinary tract infection Escherichia coli isolate Hit paper breakdown → | 1981 | 524 |
| 2 | 1982 | 97 | |
| 3 | 1996 | 68 | |
| 4 | 1988 | 58 | |
| 5 | 1986 | 54 | |
| 6 | 1993 | 54 | |
| 7 | 1996 | 41 | |
| 8 | 1993 | 27 | |
| 9 | 1988 | 25 | |
| 10 | 1994 | 21 | |
| 11 | 1992 | 16 | |
| 12 | 1995 | 14 |
About R E Gill
R E Gill is a scholar working on Molecular Biology, Genetics, Ecology, Infectious Diseases and Molecular Medicine, having authored 12 papers that have together received 999 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), RNA and protein synthesis mechanisms (5 papers), Genomics and Phylogenetic Studies (4 papers), Bacteriophages and microbial interactions (2 papers), Antibiotic Resistance in Bacteria (2 papers), Tuberculosis Research and Epidemiology (1 paper), Streptococcal Infections and Treatments (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Endocrinology (353 citations), Molecular Medicine (121 citations), Genetics (433 citations), Microbiology (94 citations) and Molecular Biology (507 citations). R E Gill has collaborated with scholars based in United States. Frequent co-authors include Stanley Falkow, R Hull, Barbara H. Minshew, P Y Hsu, Millard G. Cull, Michael Koomey, Michael L. Vasil, David Benton, Bridget E. Laue and Lee Kroos. Their work appears in journals such as Journal of Bacteriology, Infection and Immunity, Proceedings of the National Academy of Sciences and Journal of Biological 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.