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
- Glycosylation and Glycoproteins Research 1
- Protein Interaction Studies and Fluorescence Analysis 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)J.L. Gringorten (1 shared paper)Paul G. Fast (1 shared paper)S. S. Sohi (1 shared paper)
- Journals
- Biochemistry (2 papers)The Journal of Cell Biology (2 papers)Current Biology (1 paper)Journal of Invertebrate Pathology (1 paper)Nature (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Daniel P. Witt
8 papers receiving 429 citations
Peers
Comparison fields: 5 of 67
- Immunology and Allergy 106
- Cell Biology 132
- Immunology 126
- Oncology 148
- Hematology 48
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 11 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 Viral Infectious Diseases and Gene Expression in Insects (2 papers), Animal Genetics and Reproduction (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Aquaculture disease management and microbiota (1 paper), Glycosylation and Glycoproteins Research (1 paper), Molecular Sensors and Ion Detection (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Protein Interaction Studies and Fluorescence Analysis (1 paper). The work is most often cited by research in Immunology and Allergy (106 citations), Cell Biology (132 citations), Immunology (126 citations), Oncology (148 citations) and Hematology (48 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, J.L. Gringorten, Paul G. Fast, S. S. Sohi, R.E. Milne and Julian Gordon. Their work appears in journals such as Biochemistry, The Journal of Cell Biology, Current Biology, Journal of Invertebrate Pathology and Nature.
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.