James D. Hocker
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Biophysics top 5%
Papers in
-
- RNA Research and Splicing 4
- Genomics and Chromatin Dynamics 4
- Molecular Biology Techniques and Applications 2
- Heat shock proteins research 1
- Oncology 3
- CAR-T cell therapy research 2
- Co-authors
- Bing Ren (6 shared papers)Luca Gattinoni (2 shared papers)Yun Ji (2 shared papers)Allen Wang (2 shared papers)Sebastian Preißl (2 shared papers)Kyle J. Gaulton (2 shared papers)Joshua Chiou (2 shared papers)Xiaomeng Hou (2 shared papers)
- Journals
- Journal of Biomedical Optics (2 papers)Journal of Molecular and Cellular Cardiology (1 paper)The Journal of Immunology (1 paper)Blood (1 paper)Nature Aging (1 paper)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
James D. Hocker
13 papers receiving 950 citations
James D. Hocker's Hit Papers
Peers
Comparison fields: 5 of 78
- Oncology 306
- Biophysics 59
- Immunology 172
- Molecular Biology 566
- Cancer Research 84
Countries citing papers authored by James D. Hocker
This map shows the geographic impact of James D. Hocker'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 James D. Hocker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James D. Hocker more than expected).
Fields of papers citing papers by James D. Hocker
This network shows the impact of papers produced by James D. Hocker. 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 James D. Hocker. The network helps show where James D. Hocker may publish in the future.
Co-authors
The 25 scholars most cited alongside James D. Hocker, 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 | 2016 | 304 | |
| 2 | 2021 | 212 | |
| 3 | Promoter-proximal CTCF binding promotes distal enhancer-dependent gene activation Hit paper breakdown → | 2021 | 194 |
| 4 | 2021 | 69 | |
| 5 | 2014 | 52 | |
| 6 | 2014 | 41 | |
| 7 | 2015 | 33 | |
| 8 | 2022 | 16 | |
| 9 | 2023 | 15 | |
| 10 | 2021 | 10 | |
| 11 | 2023 | 6 | |
| 12 | 2015 | 5 | |
| 13 | 2014 | 2 |
About James D. Hocker
James D. Hocker is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Pathology and Forensic Medicine, having authored 13 papers that have together received 959 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Genomics and Chromatin Dynamics (4 papers), Immune Cell Function and Interaction (2 papers), Molecular Biology Techniques and Applications (2 papers), CAR-T cell therapy research (2 papers), Ultrasound Imaging and Elastography (1 paper), Silicon Carbide Semiconductor Technologies (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Oncology (306 citations), Biophysics (59 citations), Immunology (172 citations), Molecular Biology (566 citations) and Cancer Research (84 citations). James D. Hocker has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Bing Ren, Luca Gattinoni, Yun Ji, Allen Wang, Sebastian Preißl, Kyle J. Gaulton, Joshua Chiou, Xiaomeng Hou, Kai Zhang and Olivier Poirion. Their work appears in journals such as Journal of Biomedical Optics, Journal of Molecular and Cellular Cardiology, The Journal of Immunology, Blood and Nature Aging.
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.