Daniel Huang
Impact in
- Immunology top 10%
- Immune responses and vaccinations
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immunodeficiency and Autoimmune Disorders
- Immune Response and Inflammation
- Structural Biology top 10%
Papers in
-
- Immunotherapy and Immune Responses 2
- Immune Response and Inflammation 2
-
- Renal cell carcinoma treatment 2
- Co-authors
- Audrey Defusco (2 shared papers)Danielle Baum (3 shared papers)Denise L. Faustman (1 shared paper)Limei Wang (1 shared paper)Heather Torrey (2 shared papers)Yoshiaki Okubo (2 shared papers)Éva Scheuring Vanamee (2 shared papers)Toshiyuki Mera (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)The Journal of Immunology (1 paper)npj Vaccines (1 paper)Nature Genetics (1 paper)Clinical Breast Cancer (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Daniel Huang
9 papers receiving 366 citations
Peers
Comparison fields: 5 of 72
- Immunology 234
- Structural Biology 14
- Biophysics 39
- Health 21
- Biological Psychiatry 6
Countries citing papers authored by Daniel Huang
This map shows the geographic impact of Daniel Huang'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 Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Huang more than expected).
Fields of papers citing papers by Daniel Huang
This network shows the impact of papers produced by Daniel Huang. 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 Huang. The network helps show where Daniel Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Huang, 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 | 152 | |
| 2 | 2018 | 136 | |
| 3 | 2011 | 56 | |
| 4 | 2009 | 14 | |
| 5 | 2020 | 8 | |
| 6 | 2007 | 3 | |
| 7 | 2025 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2017 | 1 | |
| 10 | 2024 | 0 |
About Daniel Huang
Daniel Huang is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Molecular Biology, having authored 10 papers that have together received 373 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (2 papers), Immunotherapy and Immune Responses (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immune Response and Inflammation (2 papers), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper), Diabetes and associated disorders (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Immunology (234 citations), Structural Biology (14 citations), Biophysics (39 citations), Health (21 citations) and Biological Psychiatry (6 citations). Daniel Huang has collaborated with scholars based in United States and Japan. Frequent co-authors include Audrey Defusco, Danielle Baum, Denise L. Faustman, Limei Wang, Heather Torrey, Yoshiaki Okubo, Éva Scheuring Vanamee, Toshiyuki Mera, Rosemary Foster and John Butterworth. Their work appears in journals such as Clinical Cancer Research, The Journal of Immunology, npj Vaccines, Nature Genetics and Clinical Breast Cancer.
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.