David C. Morfitt
Impact in
- Small Animals top 2%
- Brucella: diagnosis, epidemiology, treatment
- Endocrinology top 10%
- Escherichia coli research studies
Papers in
-
- Brucella: diagnosis, epidemiology, treatment 4
-
- Molecular Biology Techniques and Applications 3
- Gene expression and cancer classification 3
- Co-authors
- Roger G. Ulrich (4 shared papers)Jeffrey F. Waring (5 shared papers)Robert A. Jolly (3 shared papers)Rita Ciurlionis (3 shared papers)Chris Roberts (1 shared paper)Pek Yee Lum (1 shared paper)Jens Præstgaard (1 shared paper)Eric E. Schadt (1 shared paper)
- Journals
- Microbial Pathogenesis (2 papers)American Journal of Veterinary Research (2 papers)Toxicologic Pathology (1 paper)Journal of Veterinary Diagnostic Investigation (1 paper)Infection and Immunity (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
David C. Morfitt
14 papers receiving 583 citations
Peers
Comparison fields: 5 of 78
- Small Animals 146
- Endocrinology 69
- Pharmacology 72
- Computational Theory and Mathematics 109
- Molecular Biology 299
Countries citing papers authored by David C. Morfitt
This map shows the geographic impact of David C. Morfitt'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 David C. Morfitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Morfitt more than expected).
Fields of papers citing papers by David C. Morfitt
This network shows the impact of papers produced by David C. Morfitt. 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 David C. Morfitt. The network helps show where David C. Morfitt may publish in the future.
Co-authors
The 25 scholars most cited alongside David C. Morfitt, 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 | 2001 | 268 | |
| 2 | 1992 | 72 | |
| 3 | 2002 | 56 | |
| 4 | 2004 | 50 | |
| 5 | 1989 | 33 | |
| 6 | 1994 | 27 | |
| 7 | 1993 | 25 | |
| 8 | 1993 | 23 | |
| 9 | 2004 | 22 | |
| 10 | 1989 | 19 | |
| 11 | 1993 | 10 | |
| 12 | 2006 | 6 | |
| 13 | 1994 | 6 | |
| 14 | 1989 | 4 |
About David C. Morfitt
David C. Morfitt is a scholar working on Small Animals, Molecular Biology, Endocrinology, Infectious Diseases and Epidemiology, having authored 14 papers that have together received 621 indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (4 papers), Molecular Biology Techniques and Applications (3 papers), Escherichia coli research studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Gene expression and cancer classification (3 papers), Mycobacterium research and diagnosis (2 papers), Liver Disease and Transplantation (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Small Animals (146 citations), Endocrinology (69 citations), Pharmacology (72 citations), Computational Theory and Mathematics (109 citations) and Molecular Biology (299 citations). David C. Morfitt has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Roger G. Ulrich, Jeffrey F. Waring, Robert A. Jolly, Rita Ciurlionis, Chris Roberts, Pek Yee Lum, Jens Præstgaard, Eric E. Schadt, Fred M. Tatum and N. F. Cheville. Their work appears in journals such as Microbial Pathogenesis, American Journal of Veterinary Research, Toxicologic Pathology, Journal of Veterinary Diagnostic Investigation and Infection and Immunity.
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.