J Culp
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Biotechnology top 5%
- Cancer Research and Treatments
Papers in
- Immunology 10
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 2
- Genetics 9
- Virus-based gene therapy research 9
- Co-authors
- Joel G. Turner (4 shared papers)J K Burkholder (5 shared papers)Ning-Sun Yang (2 shared papers)Joseph K. Burkholder (3 shared papers)Ning‐Sun Yang (3 shared papers)Jing Sun (2 shared papers)Alexander L. Rakhmilevich (1 shared paper)Rupert Vessey (2 shared papers)
- Journals
- Human Gene Therapy (4 papers)Blood (2 papers)Cancer Gene Therapy (1 paper)Experimental Biology and Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
J Culp
14 papers receiving 787 citations
Peers
Comparison fields: 5 of 74
- Immunology 405
- Biotechnology 104
- Virology 50
- Genetics 258
- Oncology 149
Countries citing papers authored by J Culp
This map shows the geographic impact of J Culp'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 J Culp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Culp more than expected).
Fields of papers citing papers by J Culp
This network shows the impact of papers produced by J Culp. 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 J Culp. The network helps show where J Culp may publish in the future.
Co-authors
The 25 scholars most cited alongside J Culp, 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 | 2000 | 285 | |
| 2 | 1995 | 149 | |
| 3 | 1997 | 99 | |
| 4 | 1996 | 71 | |
| 5 | 1998 | 45 | |
| 6 | 1999 | 38 | |
| 7 | 1995 | 29 | |
| 8 | Tolerability and immune responses in humans to a PowderJect DNA vaccine for hepatitis B. | 2000 | 28 |
| 9 | 1996 | 25 | |
| 10 | Expression of a tumor-reactive antibody-interleukin 2 fusion protein after in vivo particle-mediated gene delivery. | 1995 | 23 |
| 11 | 1998 | 21 | |
| 12 | 1971 | 11 | |
| 13 | 1995 | 4 | |
| 14 | Hexameric CD80 and CD86-Ig fusion proteins | 1997 | 1 |
About J Culp
J Culp is a scholar working on Immunology, Genetics, Molecular Biology, Biotechnology and Infectious Diseases, having authored 14 papers that have together received 829 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Immunotherapy and Immune Responses (8 papers), RNA Interference and Gene Delivery (5 papers), Cancer Research and Treatments (3 papers), Hepatitis B Virus Studies (2 papers), T-cell and B-cell Immunology (2 papers), CAR-T cell therapy research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Immunology (405 citations), Biotechnology (104 citations), Virology (50 citations), Genetics (258 citations) and Oncology (149 citations). J Culp has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Joel G. Turner, J K Burkholder, Ning-Sun Yang, Joseph K. Burkholder, Ning‐Sun Yang, Jing Sun, Alexander L. Rakhmilevich, Rupert Vessey, Georg Widera and Deborah H. Fuller. Their work appears in journals such as Human Gene Therapy, Blood, Cancer Gene Therapy, Experimental Biology and Medicine and Proceedings of the National Academy of Sciences.
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.