M. Moss
Impact in
- Small Animals top 2%
- Infectious Diseases and Mycology
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
Papers in ⓘ
-
- Tuberculosis Research and Epidemiology 7
- Epidemiology 10
- Mycobacterium research and diagnosis 8
- Co-authors
- John Hermon-Taylor (6 shared papers)Mark Tizard (5 shared papers)Jeremy Sanderson (3 shared papers)Johnjoe McFadden (2 shared papers)David J. Winterbourne (1 shared paper)J. Thompson (1 shared paper)J. W. Steeds (1 shared paper)F. C. Frank (1 shared paper)
- Journals
- Gut (3 papers)Journal of Bacteriology (2 papers)Transfusion (1 paper)Disease Markers (1 paper)Journal of Materials Science (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
M. Moss
20 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Small Animals 230
- Infectious Diseases 537
- Epidemiology 989
- Pharmacology 160
- Genetics 215
Countries citing papers authored by M. Moss
This map shows the geographic impact of M. Moss'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 M. Moss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Moss more than expected).
Fields of papers citing papers by M. Moss
This network shows the impact of papers produced by M. Moss. 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 M. Moss. The network helps show where M. Moss may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Moss, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 398 | |
| 2 | 1992 | 288 | |
| 3 | 1992 | 152 | |
| 4 | 1973 | 150 | |
| 5 | 1989 | 91 | |
| 6 | 1992 | 74 | |
| 7 | 1991 | 66 | |
| 8 | 1986 | 48 | |
| 9 | 1999 | 31 | |
| 10 | 2001 | 18 | |
| 11 | 1964 | 17 | |
| 12 | 2000 | 11 | |
| 13 | 1993 | 10 | |
| 14 | 2000 | 9 | |
| 15 | 1966 | 5 | |
| 16 | 1987 | 3 | |
| 17 | 1988 | 3 | |
| 18 | 1992 | 3 | |
| 19 | 1996 | 2 | |
| 20 | 1992 | 2 |
About M. Moss
M. Moss is a scholar working on Infectious Diseases, Epidemiology, Hematology, Urology and Organic Chemistry, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (8 papers), Tuberculosis Research and Epidemiology (7 papers), Quinazolinone synthesis and applications (3 papers), Blood groups and transfusion (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Genomics and Phylogenetic Studies (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Small Animals (230 citations), Infectious Diseases (537 citations), Epidemiology (989 citations), Pharmacology (160 citations) and Genetics (215 citations). M. Moss has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include John Hermon-Taylor, Mark Tizard, Jeremy Sanderson, Johnjoe McFadden, David J. Winterbourne, J. Thompson, J. W. Steeds, F. C. Frank, I. S. T. Tsong and D. J. Barber. Their work appears in journals such as Gut, Journal of Bacteriology, Transfusion, Disease Markers and Journal of Materials Science.
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.