M.A. Witt
Impact in
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Epidemiology top 10%
- Pneumonia and Respiratory Infections
- Influenza Virus Research Studies
- Infective Endocarditis Diagnosis and Management
Papers in
-
- Sperm and Testicular Function 5
- Ovarian function and disorders 3
-
- Reproductive Biology and Fertility 4
- Co-authors
- David Witt (6 shared papers)P. H. Katz (3 shared papers)Michael Tucker (2 shared papers)Graham Wright (2 shared papers)Paula C. Morton (1 shared paper)Joanna Ready (2 shared papers)Mary Patricia Pauly (2 shared papers)Hendrik Schulze‐Koops (1 shared paper)
- Journals
- Fertility and Sterility (5 papers)Clinical Infectious Diseases (3 papers)Journal of Hepatology (3 papers)Drugs (1 paper)Human Reproduction (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
M.A. Witt
13 papers receiving 375 citations
Peers
Comparison fields: 5 of 42
- Microbiology 283
- Epidemiology 298
- Health 50
- Reproductive Medicine 39
- Infectious Diseases 71
Countries citing papers authored by M.A. Witt
This map shows the geographic impact of M.A. Witt'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.A. Witt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A. Witt more than expected).
Fields of papers citing papers by M.A. Witt
This network shows the impact of papers produced by M.A. Witt. 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.A. Witt. The network helps show where M.A. Witt may publish in the future.
Co-authors
The 18 scholars most cited alongside M.A. Witt, 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 | 2012 | 185 | |
| 2 | 2013 | 133 | |
| 3 | 1995 | 32 | |
| 4 | 2017 | 18 | |
| 5 | [Molecular genetics of the major histocompatibility complex]. | 1985 | 5 |
| 6 | 1997 | 5 | |
| 7 | 2016 | 3 | |
| 8 | 2012 | 3 | |
| 9 | 2015 | 2 | |
| 10 | 2017 | 2 | |
| 11 | 2005 | 2 | |
| 12 | 2012 | 1 | |
| 13 | 2010 | 1 | |
| 14 | 2009 | 1 | |
| 15 | 2016 | 0 |
About M.A. Witt
M.A. Witt is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Hepatology, Epidemiology and Infectious Diseases, having authored 15 papers that have together received 393 indexed citations. Recurring topics across this work include Sperm and Testicular Function (5 papers), Reproductive Biology and Fertility (4 papers), Hepatitis C virus research (4 papers), Ovarian function and disorders (3 papers), Bacterial Infections and Vaccines (2 papers), Urologic and reproductive health conditions (1 paper), Case Reports on Hematomas (1 paper) and HIV-related health complications and treatments (1 paper). The work is most often cited by research in Microbiology (283 citations), Epidemiology (298 citations), Health (50 citations), Reproductive Medicine (39 citations) and Infectious Diseases (71 citations). M.A. Witt has collaborated with scholars based in United States and Germany. Frequent co-authors include David Witt, P. H. Katz, Michael Tucker, Graham Wright, Paula C. Morton, Joanna Ready, Mary Patricia Pauly, Hendrik Schulze‐Koops, Z.P. Nagy and Thomas Elliott. Their work appears in journals such as Fertility and Sterility, Clinical Infectious Diseases, Journal of Hepatology, Drugs and Human Reproduction.
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.