Daniel W. Kulp
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Protein Structure and Dynamics 7
- vaccines and immunoinformatics approaches 5
- Immunology 20
- Immunotherapy and Immune Responses 12
- Immune Cell Function and Interaction 7
- Co-authors
- William R. Schief (15 shared papers)William F. DeGrado (8 shared papers)Jason E. Donald (2 shared papers)Sergey Menis (11 shared papers)Dennis R. Burton (5 shared papers)Devin Sok (5 shared papers)Oleksandr Kalyuzhniy (3 shared papers)Bryan Briney (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Science (3 papers)Virology (2 papers)Frontiers in Immunology (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Daniel W. Kulp
42 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 127
- Virology 787
- Immunology 869
- Infectious Diseases 472
- Molecular Biology 1.5k
- Radiology, Nuclear Medicine and Imaging 423
Countries citing papers authored by Daniel W. Kulp
This map shows the geographic impact of Daniel W. Kulp'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 W. Kulp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Kulp more than expected).
Fields of papers citing papers by Daniel W. Kulp
This network shows the impact of papers produced by Daniel W. Kulp. 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 W. Kulp. The network helps show where Daniel W. Kulp may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel W. Kulp, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 308 | |
| 2 | 2015 | 268 | |
| 3 | 2018 | 215 | |
| 4 | 2017 | 210 | |
| 5 | 2019 | 170 | |
| 6 | 2017 | 146 | |
| 7 | 2016 | 141 | |
| 8 | 2011 | 140 | |
| 9 | 2014 | 139 | |
| 10 | 2012 | 112 | |
| 11 | 2016 | 109 | |
| 12 | 2011 | 104 | |
| 13 | 2015 | 100 | |
| 14 | 2013 | 83 | |
| 15 | 2013 | 80 | |
| 16 | 2009 | 66 | |
| 17 | 2015 | 63 | |
| 18 | 2018 | 63 | |
| 19 | 2009 | 61 | |
| 20 | 2006 | 50 |
About Daniel W. Kulp
Daniel W. Kulp is a scholar working on Molecular Biology, Immunology, Virology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), HIV Research and Treatment (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Protein Structure and Dynamics (7 papers), Immune Cell Function and Interaction (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Enzyme Structure and Function (6 papers) and vaccines and immunoinformatics approaches (5 papers). The work is most often cited by research in Virology (787 citations), Immunology (869 citations), Infectious Diseases (472 citations), Molecular Biology (1.5k citations) and Radiology, Nuclear Medicine and Imaging (423 citations). Daniel W. Kulp has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include William R. Schief, William F. DeGrado, Jason E. Donald, Sergey Menis, Dennis R. Burton, Devin Sok, Oleksandr Kalyuzhniy, Bryan Briney, Matthias Pauthner and Takayuki Ota. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science, Virology, Frontiers in Immunology and Nature Communications.
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.