Hearn Jay Cho
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
Papers in
- Hematology 108
- Multiple Myeloma Research and Treatments 106
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- Protein Degradation and Inhibitors 30
- Co-authors
- Terry D. Lee (1 shared paper)Q W Xie (1 shared paper)Jimmy Calaycay (1 shared paper)Kristine M. Swiderek (1 shared paper)Aihao Ding (1 shared paper)Richard A. Mumford (1 shared paper)Carl Nathan (1 shared paper)Sundar Jagannath (75 shared papers)
- Journals
- Blood (70 papers)Journal of Clinical Oncology (8 papers)Blood Advances (4 papers)Clinical Cancer Research (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Hearn Jay Cho
134 papers receiving 4.0k citations
Hearn Jay Cho's Hit Papers
Peers
Comparison fields: 5 of 136
- Hematology 1.0k
- Immunology 1.2k
- Physiology 1.1k
- Biochemistry 311
- Oncology 863
Countries citing papers authored by Hearn Jay Cho
This map shows the geographic impact of Hearn Jay Cho'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 Hearn Jay Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hearn Jay Cho more than expected).
Fields of papers citing papers by Hearn Jay Cho
This network shows the impact of papers produced by Hearn Jay Cho. 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 Hearn Jay Cho. The network helps show where Hearn Jay Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside Hearn Jay Cho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cloning and Characterization of Inducible Nitric Oxide Synthase from Mouse Macrophages Hit paper breakdown → | 1992 | 1633 |
| 2 | 2000 | 216 | |
| 3 | 2002 | 165 | |
| 4 | 2005 | 148 | |
| 5 | 2016 | 117 | |
| 6 | 2002 | 92 | |
| 7 | 2020 | 92 | |
| 8 | 2005 | 86 | |
| 9 | 1998 | 84 | |
| 10 | 2011 | 79 | |
| 11 | 2012 | 75 | |
| 12 | 2021 | 73 | |
| 13 | 2023 | 67 | |
| 14 | 2019 | 61 | |
| 15 | 2021 | 56 | |
| 16 | 2018 | 45 | |
| 17 | 2017 | 45 | |
| 18 | Physical interaction of two cancer-testis antigens, MAGE-C1 (CT7) and NY-ESO-1 (CT6). | 2006 | 44 |
| 19 | 2020 | 40 | |
| 20 | 2004 | 39 |
About Hearn Jay Cho
Hearn Jay Cho is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Genetics, having authored 140 papers that have together received 4.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (106 papers), Immunotherapy and Immune Responses (31 papers), Protein Degradation and Inhibitors (30 papers), CAR-T cell therapy research (23 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Cancer Treatment and Pharmacology (11 papers), Chronic Lymphocytic Leukemia Research (11 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Hematology (1.0k citations), Immunology (1.2k citations), Physiology (1.1k citations), Biochemistry (311 citations) and Oncology (863 citations). Hearn Jay Cho has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Terry D. Lee, Q W Xie, Jimmy Calaycay, Kristine M. Swiderek, Aihao Ding, Richard A. Mumford, Carl Nathan, Sundar Jagannath, Ajai Chari and Samir Parekh. Their work appears in journals such as Blood, Journal of Clinical Oncology, Blood Advances, Clinical Cancer Research and Cancer Research.
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.