Jacquelyn A. Hank
- Immunology top 1%
- Oncology top 1%
- Neurology top 0.5%
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Paul M. SondelJacek GanStephen D. GilliesRalph A. ReisfeldMark R. AlbertiniFritz H. BachHiroo InouyeAlexander L. Rakhmilevich
- Topics
- Immune Cell Function and Interaction (46 papers)Immunotherapy and Immune Responses (44 papers)CAR-T cell therapy research (38 papers)
- Cited by
- ImmunologyNeurologyOncology
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Jacquelyn A. Hank
124 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 104
- Immunology 2.5k
- Oncology 2.1k
- Neurology 1.4k
- Molecular Biology 1.3k
- Radiology, Nuclear Medicine and Imaging 740
Countries citing papers authored by Jacquelyn A. Hank
This map shows the geographic impact of Jacquelyn A. Hank'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 Jacquelyn A. Hank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacquelyn A. Hank more than expected).
Fields of papers citing papers by Jacquelyn A. Hank
This network shows the impact of papers produced by Jacquelyn A. Hank. 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 Jacquelyn A. Hank. The network helps show where Jacquelyn A. Hank may publish in the future.
Co-authorship network of co-authors of Jacquelyn A. Hank
This figure shows the co-authorship network connecting the top 25 collaborators of Jacquelyn A. Hank. A scholar is included among the top collaborators of Jacquelyn A. Hank based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacquelyn A. Hank. Jacquelyn A. Hank is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 132 | |
| 2 | 14 | |
| 3 | 29 | |
| 4 | 17 | |
| 5 | 53 | |
| 6 | 54 | |
| 7 | 114 | |
| 8 | 12 | |
| 9 | 119 | |
| 10 | 14 | |
| 11 | 79 | |
| 12 | 47 | |
| 13 | 37 | |
| 14 | Differential quantitative effects of interleukin (IL)-2 and IL-15 on cytotoxic activity and proliferation by lymphocytes from patients receiving in vivo IL-2 therapy. | 6 |
| 15 | 3 | |
| 16 | 50 | |
| 17 | 25 | |
| 18 | 15 | |
| 19 | A direct comparison of immunological and clinical effects of interleukin 2 with and without interferon-alpha in humans. | 24 |
| 20 | 48 |
About Jacquelyn A. Hank
Jacquelyn A. Hank is a scholar working on Immunology, Neurology and Oncology, having authored 125 papers that have together received 4.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (46 papers), Immunotherapy and Immune Responses (44 papers) and CAR-T cell therapy research (38 papers). The work is most often cited by research in Immunology (2.5k citations), Neurology (1.4k citations) and Oncology (2.1k citations). Jacquelyn A. Hank has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Paul M. Sondel, Jacek Gan, Stephen D. Gillies, Ralph A. Reisfeld, Mark R. Albertini, Fritz H. Bach, Hiroo Inouye, Alexander L. Rakhmilevich, Jeffrey A. Sosman and Jean E. Surfus. Their work appears in journals such as Nature, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.