James D. Hocker
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Biophysics top 5%
Papers in
-
- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 4
- Molecular Biology Techniques and Applications 2
- Single-cell and spatial transcriptomics 1
- Signaling Pathways in Disease 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)Michele Sommariva (1 shared paper)Marianna Sabatino (1 shared paper)Joshua Chiou (2 shared papers)James N. Kochenderfer (1 shared paper)Christopher A. Klebanoff (1 shared paper)
- Journals
- Journal of Biomedical Optics (2 papers)The Journal of Immunology (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)Seminars in Immunology (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- United StatesBelgiumItaly
In The Last Decade
James D. Hocker
13 papers receiving 903 citations
James D. Hocker's Hit Papers
Peers
Comparison fields: 5 of 71
- Oncology 310
- Biophysics 64
- Immunology 178
- Molecular Biology 579
- Cancer Research 96
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 | 297 | |
| 2 | A single-cell atlas of chromatin accessibility in the human genome Hit paper breakdown → | 2021 | 200 |
| 3 | Promoter-proximal CTCF binding promotes distal enhancer-dependent gene activation Hit paper breakdown → | 2021 | 184 |
| 4 | 2021 | 61 | |
| 5 | 2014 | 50 | |
| 6 | 2014 | 41 | |
| 7 | 2015 | 32 | |
| 8 | 2022 | 16 | |
| 9 | 2023 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2015 | 5 | |
| 12 | 2014 | 2 | |
| 13 | 2023 | 1 |
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 911 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (4 papers), CAR-T cell therapy research (2 papers), Molecular Biology Techniques and Applications (2 papers), Immune Cell Function and Interaction (2 papers), Single-cell and spatial transcriptomics (1 paper), Plant Molecular Biology Research (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Oncology (310 citations), Biophysics (64 citations), Immunology (178 citations), Molecular Biology (579 citations) and Cancer Research (96 citations). James D. Hocker has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include Bing Ren, Luca Gattinoni, Yun Ji, Michele Sommariva, Marianna Sabatino, Joshua Chiou, James N. Kochenderfer, Christopher A. Klebanoff, Sean C. Dougherty and Allen Wang. Their work appears in journals such as Journal of Biomedical Optics, The Journal of Immunology, Journal of Molecular and Cellular Cardiology, Seminars in Immunology and Journal of Cell Science.
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.