Daniel H. Park
Impact in
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 6
- CAR-T cell therapy research 4
- Chemokine receptors and signaling 1
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- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 2
- Co-authors
- David B. Weiner (9 shared papers)Kevin Liaw (6 shared papers)Pratik Bhojnagarwala (6 shared papers)Devivasha Bordoloi (5 shared papers)Kanika Jain (1 shared paper)Gerd A. Blobel (1 shared paper)Laura Quick (1 shared paper)Xizhou Zhu (4 shared papers)
- Journals
- Journal for ImmunoTherapy of Cancer (3 papers)Molecular Therapy — Oncolytics (2 papers)Arthritis Research & Therapy (1 paper)JCI Insight (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United StatesUgandaChina
In The Last Decade
Daniel H. Park
11 papers receiving 139 citations
Peers
Comparison fields: 5 of 42
- Immunology 53
- Oncology 49
- Radiology, Nuclear Medicine and Imaging 25
- Infectious Diseases 16
- Structural Biology 1
Countries citing papers authored by Daniel H. Park
This map shows the geographic impact of Daniel H. Park'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 Daniel H. Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel H. Park more than expected).
Fields of papers citing papers by Daniel H. Park
This network shows the impact of papers produced by Daniel H. Park. 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 Daniel H. Park. The network helps show where Daniel H. Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel H. Park, 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 | 2017 | 38 | |
| 2 | 2021 | 25 | |
| 3 | 2022 | 21 | |
| 4 | 2022 | 15 | |
| 5 | 2023 | 13 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2024 | 2 | |
| 11 | 2016 | 1 | |
| 12 | 2025 | 0 |
About Daniel H. Park
Daniel H. Park is a scholar working on Oncology, Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Infectious Diseases, having authored 12 papers that have together received 140 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immune Cell Function and Interaction (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Ubiquitin and proteasome pathways (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Immunology (53 citations), Oncology (49 citations), Radiology, Nuclear Medicine and Imaging (25 citations), Infectious Diseases (16 citations) and Structural Biology (1 citation). Daniel H. Park has collaborated with scholars based in United States, Uganda and China. Frequent co-authors include David B. Weiner, Kevin Liaw, Pratik Bhojnagarwala, Devivasha Bordoloi, Kanika Jain, Gerd A. Blobel, Laura Quick, Xizhou Zhu, André M. Oliveira and Alfredo Perales‐Puchalt. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Molecular Therapy — Oncolytics, Arthritis Research & Therapy, JCI Insight and Frontiers in Immunology.
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.