Henry Ji
Impact in
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
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- Computational Drug Discovery Methods
Papers in
- Oncology 9
- CAR-T cell therapy research 6
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- SARS-CoV-2 and COVID-19 Research 7
- Co-authors
- Namir Shaabani (6 shared papers)Roshni Ramachandran (1 shared paper)Shiqing Xu (4 shared papers)Robert D. Allen (5 shared papers)Erol C. Vatansever (4 shared papers)Yugendar R. Alugubelli (4 shared papers)Wenshe Ray Liu (4 shared papers)R. Xinyu (4 shared papers)
- Journals
- Blood (7 papers)European Journal of Medicinal Chemistry (2 papers)Medicine in Drug Discovery (2 papers)Expert Opinion on Biological Therapy (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
Henry Ji
21 papers receiving 245 citations
Peers
Comparison fields: 5 of 56
- Infectious Diseases 100
- Computational Theory and Mathematics 69
- Sensory Systems 12
- Oncology 48
- Immunology 36
Countries citing papers authored by Henry Ji
This map shows the geographic impact of Henry Ji'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 Henry Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henry Ji more than expected).
Fields of papers citing papers by Henry Ji
This network shows the impact of papers produced by Henry Ji. 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 Henry Ji. The network helps show where Henry Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Henry Ji, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 39 | |
| 2 | 2022 | 35 | |
| 3 | 2020 | 33 | |
| 4 | 2022 | 29 | |
| 5 | 2011 | 15 | |
| 6 | 2023 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 12 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2019 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2022 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2023 | 2 |
About Henry Ji
Henry Ji is a scholar working on Oncology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Computational Theory and Mathematics, having authored 21 papers that have together received 246 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), CAR-T cell therapy research (6 papers), Computational Drug Discovery Methods (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Multiple Myeloma Research and Treatments (3 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Infectious Diseases (100 citations), Computational Theory and Mathematics (69 citations), Sensory Systems (12 citations), Oncology (48 citations) and Immunology (36 citations). Henry Ji has collaborated with scholars based in United States and Sweden. Frequent co-authors include Namir Shaabani, Roshni Ramachandran, Shiqing Xu, Robert D. Allen, Erol C. Vatansever, Yugendar R. Alugubelli, Wenshe Ray Liu, R. Xinyu, Kai S. Yang and Yuying Ma. Their work appears in journals such as Blood, European Journal of Medicinal Chemistry, Medicine in Drug Discovery, Expert Opinion on Biological Therapy and Journal of Medicinal Chemistry.
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.