Arvin Yang
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Oncology 10
- CAR-T cell therapy research 6
- Cancer Immunotherapy and Biomarkers 5
-
- Melanoma and MAPK Pathways 5
- Co-authors
- Edmund C. Lattime (2 shared papers)Paul B. Chapman (1 shared paper)Jedd D. Wolchok (6 shared papers)Claude E. Monken (1 shared paper)Jeffrey S. Weber (3 shared papers)Francesca Avogadri (2 shared papers)Andrew M. Hruszkewycz (1 shared paper)Yanyun Wu (1 shared paper)
- Journals
- Journal of Clinical Oncology (4 papers)Hematology/Oncology Clinics of North America (1 paper)Clinica Chimica Acta (1 paper)The Cancer Journal (1 paper)Current topics in microbiology and immunology (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Arvin Yang
14 papers receiving 464 citations
Peers
Comparison fields: 5 of 67
- Immunology 263
- Oncology 227
- Physiology 57
- Biotechnology 19
- Molecular Biology 136
Countries citing papers authored by Arvin Yang
This map shows the geographic impact of Arvin Yang'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 Arvin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvin Yang more than expected).
Fields of papers citing papers by Arvin Yang
This network shows the impact of papers produced by Arvin Yang. 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 Arvin Yang. The network helps show where Arvin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvin Yang, 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 | Tumor-induced interleukin 10 suppresses the ability of splenic dendritic cells to stimulate CD4 and CD8 T-cell responses. | 2003 | 143 |
| 2 | 2009 | 68 | |
| 3 | 2000 | 65 | |
| 4 | 2014 | 38 | |
| 5 | 2015 | 37 | |
| 6 | Intratumoral vaccination with vaccinia-expressed tumor antigen and granulocyte macrophage colony-stimulating factor overcomes immunological ignorance to tumor antigen. | 2003 | 32 |
| 7 | 2010 | 25 | |
| 8 | 2010 | 24 | |
| 9 | 2020 | 18 | |
| 10 | The interaction of lead exposure and arylsulfatase A genotype affects sulfatide catabolism in human fibroblasts. | 2000 | 12 |
| 11 | 2012 | 11 | |
| 12 | 2018 | 8 | |
| 13 | 2015 | 8 | |
| 14 | 2013 | 4 |
About Arvin Yang
Arvin Yang is a scholar working on Oncology, Molecular Biology, Immunology, Physiology and Organic Chemistry, having authored 14 papers that have together received 493 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Melanoma and MAPK Pathways (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Click Chemistry and Applications (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Immunology (263 citations), Oncology (227 citations), Physiology (57 citations), Biotechnology (19 citations) and Molecular Biology (136 citations). Arvin Yang has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Edmund C. Lattime, Paul B. Chapman, Jedd D. Wolchok, Claude E. Monken, Jeffrey S. Weber, Francesca Avogadri, Andrew M. Hruszkewycz, Yanyun Wu, Alan T. Remaley and A. O. Vortmeyer. Their work appears in journals such as Journal of Clinical Oncology, Hematology/Oncology Clinics of North America, Clinica Chimica Acta, The Cancer Journal and Current topics in microbiology and 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.