M. Moss
Impact in
- Epidemiology top 5%
- Mycobacterium research and diagnosis
- Small Animals top 2%
- Infectious Diseases and Mycology
Papers in
-
- Tuberculosis Research and Epidemiology 8
- Epidemiology 11
- Mycobacterium research and diagnosis 9
- Co-authors
- John Hermon-Taylor (7 shared papers)Mark L. Tizard (6 shared papers)Jeremy David Sanderson (4 shared papers)Johnjoe McFadden (2 shared papers)J. Thompson (1 shared paper)David J. Winterbourne (1 shared paper)David Juanes Barber (1 shared paper)Ignatius S. T. Tsong (1 shared paper)
- Journals
- Gut (3 papers)Journal of Bacteriology (2 papers)Journal of General Virology (1 paper)Disease Markers (1 paper)Journal of Infection (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
M. Moss
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Epidemiology 1.0k
- Small Animals 222
- Infectious Diseases 520
- Pharmacology 144
- Genetics 195
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 419 | |
| 2 | 1992 | 309 | |
| 3 | 1973 | 162 | |
| 4 | 1992 | 159 | |
| 5 | 1989 | 98 | |
| 6 | 1992 | 76 | |
| 7 | 1991 | 69 | |
| 8 | 1986 | 54 | |
| 9 | 1999 | 34 | |
| 10 | 1964 | 19 | |
| 11 | 2001 | 18 | |
| 12 | 1993 | 13 | |
| 13 | 2000 | 10 | |
| 14 | 2000 | 10 | |
| 15 | 1992 | 6 | |
| 16 | 1966 | 5 | |
| 17 | 1992 | 5 | |
| 18 | 1988 | 4 | |
| 19 | 1992 | 2 | |
| 20 | 1996 | 2 |
About M. Moss
M. Moss is a scholar working on Infectious Diseases, Epidemiology, Hematology, Cell Biology and Pharmacology, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (9 papers), Tuberculosis Research and Epidemiology (8 papers), Blood groups and transfusion (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Quinazolinone synthesis and applications (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Genomics and Phylogenetic Studies (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). The work is most often cited by research in Epidemiology (1.0k citations), Small Animals (222 citations), Infectious Diseases (520 citations), Pharmacology (144 citations) and Genetics (195 citations). M. Moss has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include John Hermon-Taylor, Mark L. Tizard, Jeremy David Sanderson, Johnjoe McFadden, J. Thompson, David J. Winterbourne, David Juanes Barber, Ignatius S. T. Tsong, Frederick Charles Frank and John Wickham Steeds. Their work appears in journals such as Gut, Journal of Bacteriology, Journal of General Virology, Disease Markers and Journal of Infection.
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.