Gregor Leckie
Impact in
- Microbiology top 1%
- Reproductive tract infections research
- Virology top 10%
Papers in
- Epidemiology 10
- Mycobacterium research and diagnosis 4
- Urinary Tract Infections Management 3
- Hepatitis B Virus Studies 2
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- Tuberculosis Research and Epidemiology 5
- HIV/AIDS drug development and treatment 3
- Co-authors
- John D. Burczak (2 shared papers)Walter E. Stamm (1 shared paper)Sheila M. Muldoon (1 shared paper)Williams Andrews (1 shared paper)J Schachter (1 shared paper)Max Chernesky (1 shared paper)Klara Abravaya (10 shared papers)Ning Tang (8 shared papers)
- Journals
- Journal of Clinical Microbiology (3 papers)Transfusion (3 papers)Tuberculosis (2 papers)Journal of Hepatology (2 papers)Diagnostic Microbiology and Infectious Disease (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Gregor Leckie
22 papers receiving 678 citations
Peers
Comparison fields: 5 of 66
- Microbiology 284
- Virology 46
- Infectious Diseases 174
- Hepatology 67
- Epidemiology 274
Countries citing papers authored by Gregor Leckie
This map shows the geographic impact of Gregor Leckie'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 Gregor Leckie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregor Leckie more than expected).
Fields of papers citing papers by Gregor Leckie
This network shows the impact of papers produced by Gregor Leckie. 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 Gregor Leckie. The network helps show where Gregor Leckie may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregor Leckie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 276 | |
| 2 | 2010 | 81 | |
| 3 | 1993 | 54 | |
| 4 | 2002 | 41 | |
| 5 | 2001 | 35 | |
| 6 | 2017 | 32 | |
| 7 | 2015 | 28 | |
| 8 | 2016 | 25 | |
| 9 | 2002 | 24 | |
| 10 | 1990 | 23 | |
| 11 | 2003 | 15 | |
| 12 | 2015 | 12 | |
| 13 | 2011 | 10 | |
| 14 | 2018 | 9 | |
| 15 | 1996 | 8 | |
| 16 | 1989 | 7 | |
| 17 | 1998 | 6 | |
| 18 | 2004 | 5 | |
| 19 | 2011 | 5 | |
| 20 | 2011 | 4 |
About Gregor Leckie
Gregor Leckie is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Molecular Biology and Microbiology, having authored 22 papers that have together received 702 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Hepatitis C virus research (5 papers), Mycobacterium research and diagnosis (4 papers), HIV/AIDS drug development and treatment (3 papers), T-cell and Retrovirus Studies (3 papers), Reproductive tract infections research (3 papers), Urinary Tract Infections Management (3 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Microbiology (284 citations), Virology (46 citations), Infectious Diseases (174 citations), Hepatology (67 citations) and Epidemiology (274 citations). Gregor Leckie has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John D. Burczak, Walter E. Stamm, Sheila M. Muldoon, Williams Andrews, J Schachter, Max Chernesky, Klara Abravaya, Ning Tang, John Robinson and Hong Wang. Their work appears in journals such as Journal of Clinical Microbiology, Transfusion, Tuberculosis, Journal of Hepatology and Diagnostic Microbiology and Infectious Disease.
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.