Daniel W. Kulp
- Virology top 0.5%
- HIV Research and Treatment 10
- Immunology top 2%
- Immunotherapy and Immune Responses 12
- Immune Cell Function and Interaction 7
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 6
- Molecular Biology top 5%
- Protein Structure and Dynamics 7
- vaccines and immunoinformatics approaches 5
-
- Monoclonal and Polyclonal Antibodies Research 9
-
- Enzyme Structure and Function 6
- Co-authors
- William R. SchiefWilliam F. DeGradoJason E. DonaldSergey MenisDennis R. BurtonDevin SokBryan BrineyOleksandr Kalyuzhniy
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Science (3 papers)Nature Communications (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel W. Kulp
40 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 127
- Virology 809
- Immunology 922
- Infectious Diseases 493
- Molecular Biology 1.6k
- Radiology, Nuclear Medicine and Imaging 448
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 8 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 14 | |
| 9 | 2020 | 42 | |
| 10 | 2020 | 21 | |
| 11 | 2018 | 212 | |
| 12 | 2018 | 62 | |
| 13 | 2017 | 24 | |
| 14 | 2017 | 204 | |
| 15 | 2016 | 109 | |
| 16 | 2015 | 62 | |
| 17 | 2014 | 32 | |
| 18 | 2013 | 79 | |
| 19 | 2012 | 112 | |
| 20 | 2009 | 65 |
About Daniel W. Kulp
Daniel W. Kulp is a scholar working on Virology, Immunology, Immunology and Allergy, 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 (9 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 (809 citations), Immunology (922 citations), Infectious Diseases (493 citations), Molecular Biology (1.6k citations) and Radiology, Nuclear Medicine and Imaging (448 citations). Daniel W. Kulp has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include William R. Schief, William F. DeGrado, Jason E. Donald, Sergey Menis, Dennis R. Burton, Devin Sok, Bryan Briney, Oleksandr Kalyuzhniy, Matthias Pauthner and Takayuki Ota. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science, Nature Communications, Frontiers in Immunology and Virology.
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.