Daniel P. Witt
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 2
- Bacillus and Francisella bacterial research 1
- Lipid Membrane Structure and Behavior 1
- RNA and protein synthesis mechanisms 1
- Oncology 2
- Drug Transport and Resistance Mechanisms 2
- Co-authors
- Arthur D. Lander (1 shared paper)Julius A. Gordon (2 shared papers)Robert C. Woodworth (2 shared papers)Dennis Brown (1 shared paper)Thomas G. Christensen (1 shared paper)R.E. Milne (1 shared paper)Paul G. Fast (1 shared paper)S. S. Sohi (1 shared paper)
- Journals
- The Journal of Cell Biology (2 papers)Biochemistry (2 papers)Nature (1 paper)Current Biology (1 paper)Journal of Invertebrate Pathology (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Daniel P. Witt
8 papers receiving 428 citations
Peers
Comparison fields: 5 of 67
- Immunology and Allergy 112
- Cell Biology 137
- Immunology 134
- Oncology 151
- Hematology 52
Countries citing papers authored by Daniel P. Witt
This map shows the geographic impact of Daniel P. 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 Daniel P. Witt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Witt more than expected).
Fields of papers citing papers by Daniel P. Witt
This network shows the impact of papers produced by Daniel P. 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 Daniel P. Witt. The network helps show where Daniel P. Witt may publish in the future.
Co-authors
The 12 scholars most cited alongside Daniel P. 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 | 1994 | 304 | |
| 2 | 1983 | 39 | |
| 3 | 1982 | 31 | |
| 4 | 1990 | 29 | |
| 5 | 1978 | 27 | |
| 6 | 1980 | 16 | |
| 7 | 2019 | 7 | |
| 8 | 1982 | 4 |
About Daniel P. Witt
Daniel P. Witt is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Animal Science and Zoology, having authored 8 papers that have together received 457 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Animal Genetics and Reproduction (2 papers), Bacillus and Francisella bacterial research (1 paper), Molecular Sensors and Ion Detection (1 paper), Lipid Membrane Structure and Behavior (1 paper), Animal Virus Infections Studies (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Immunology and Allergy (112 citations), Cell Biology (137 citations), Immunology (134 citations), Oncology (151 citations) and Hematology (52 citations). Daniel P. Witt has collaborated with scholars based in United States and Canada. Frequent co-authors include Arthur D. Lander, Julius A. Gordon, Robert C. Woodworth, Dennis Brown, Thomas G. Christensen, R.E. Milne, Paul G. Fast, S. S. Sohi, J.L. Gringorten and Kees van Frankenhuyzen. Their work appears in journals such as The Journal of Cell Biology, Biochemistry, Nature, Current Biology and Journal of Invertebrate Pathology.
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.