Gary K. Schoolnik
Impact in
- Endocrinology top 0.01%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Infectious Diseases top 0.02%
- Tuberculosis Research and Epidemiology
Papers in
-
- Escherichia coli research studies 42
- Vibrio bacteria research studies 31
-
- Tuberculosis Research and Epidemiology 44
- Co-authors
- Martin I. VoskuilPeter M. SmallFitnat H. YildizDirk SchnappingerStanley FalkowKevin ViscontiGregory DolganovDavid R. Sherman
- Journals
- Journal of Bacteriology (18 papers)The Journal of Experimental Medicine (18 papers)Molecular Microbiology (16 papers)Proceedings of the National Academy of Sciences (15 papers)The Journal of Infectious Diseases (11 papers)
- Partner nations
- United StatesNetherlandsDenmark
In The Last Decade
Gary K. Schoolnik
187 papers receiving 21.8k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Endocrinology 5.9k
- Infectious Diseases 10.9k
- Molecular Medicine 2.2k
- Microbiology 1.6k
- Epidemiology 8.8k
Countries citing papers authored by Gary K. Schoolnik
This map shows the geographic impact of Gary K. Schoolnik'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 K. Schoolnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary K. Schoolnik more than expected).
Fields of papers citing papers by Gary K. Schoolnik
This network shows the impact of papers produced by Gary K. Schoolnik. 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 K. Schoolnik. The network helps show where Gary K. Schoolnik may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary K. Schoolnik, 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 | 2021 | 1 | |
| 2 | 2007 | 28 | |
| 3 | 2006 | 474 | |
| 4 | 2006 | 221 | |
| 5 | 2005 | 248 | |
| 6 | 2005 | 478 | |
| 7 | 2003 | 123 | |
| 8 | 1993 | 17 | |
| 9 | 1993 | 384 | |
| 10 | 1991 | 19 | |
| 11 | 1991 | 2 | |
| 12 | 1991 | 81 | |
| 13 | 1990 | 127 | |
| 14 | 1988 | 137 | |
| 15 | 1988 | 36 | |
| 16 | 1987 | 55 | |
| 17 | 1985 | 49 | |
| 18 | 1985 | 27 | |
| 19 | 1984 | 14 | |
| 20 | 1982 | 33 |
About Gary K. Schoolnik
Gary K. Schoolnik is a scholar working on Endocrinology, Infectious Diseases, Microbiology, Molecular Medicine and Microbiology, having authored 187 papers that have together received 22.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (44 papers), Escherichia coli research studies (42 papers), Mycobacterium research and diagnosis (41 papers), Vibrio bacteria research studies (31 papers), Bacteriophages and microbial interactions (27 papers), Bacterial Genetics and Biotechnology (27 papers), Aquaculture disease management and microbiota (20 papers) and Monoclonal and Polyclonal Antibodies Research (20 papers). The work is most often cited by research in Endocrinology (5.9k citations), Infectious Diseases (10.9k citations), Molecular Medicine (2.2k citations), Microbiology (1.6k citations) and Epidemiology (8.8k citations). Gary K. Schoolnik has collaborated with scholars based in United States, Netherlands and Denmark. Frequent co-authors include Martin I. Voskuil, Peter M. Small, Fitnat H. Yildiz, Dirk Schnappinger, Stanley Falkow, Kevin Visconti, Gregory Dolganov, David R. Sherman, Maria I. Harrell and Philip C. Hopewell. Their work appears in journals such as Journal of Bacteriology, The Journal of Experimental Medicine, Molecular Microbiology, Proceedings of the National Academy of Sciences and The Journal of Infectious Diseases.
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.