Daniel Wang
- Immunology top 5%
- Immunotherapy and Immune Responses 11
- Immune Cell Function and Interaction 6
- Immune cells in cancer 4
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 21
- CAR-T cell therapy research 10
- Colorectal Cancer Treatments and Studies 5
- Physiology top 5%
- Epidemiology top 10%
- Software top 10%
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- Protein Kinase Regulation and GTPase Signaling 4
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- Virus-based gene therapy research 3
- Co-authors
- Douglas B. JohnsonWeiyi PengYukiko KiniwaYanchun LiTihui FuKui Shin VooGuangyong PengHelen Y. Wang
- Cited by
- ImmunologyOncologyPhysiology
- Journals
- Bioorganic & Medicinal Chemistry Letters (5 papers)The Journal of Immunology (3 papers)Blood (3 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Daniel Wang
53 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Immunology 811
- Oncology 800
- Physiology 84
- Epidemiology 461
- Software 39
Countries citing papers authored by Daniel Wang
This map shows the geographic impact of Daniel Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wang more than expected).
Fields of papers citing papers by Daniel Wang
This network shows the impact of papers produced by Daniel Wang. 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 Wang. The network helps show where Daniel Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Wang, 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 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 20 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 25 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 24 | |
| 10 | 2019 | 20 | |
| 11 | 2018 | 40 | |
| 12 | 2018 | 32 | |
| 13 | 2017 | 35 | |
| 14 | 2017 | 0 | |
| 15 | 2009 | 3 | |
| 16 | 2009 | 1 | |
| 17 | 2009 | 16 | |
| 18 | 2006 | 10 | |
| 19 | Toll-Like Receptor 8-Mediated Reversal of CD4 + Regulatory T Cell Functionbreakdown → | 2005 | 603 |
| 20 | 2002 | 22 |
About Daniel Wang
Daniel Wang is a scholar working on Oncology, Immunology and Nephrology, having authored 58 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (21 papers), Immunotherapy and Immune Responses (11 papers), CAR-T cell therapy research (10 papers), Immune Cell Function and Interaction (6 papers), Colorectal Cancer Treatments and Studies (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Immune cells in cancer (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Immunology (811 citations), Oncology (800 citations) and Physiology (84 citations). Daniel Wang has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Douglas B. Johnson, Weiyi Peng, Yukiko Kiniwa, Yanchun Li, Tihui Fu, Kui Shin Voo, Guangyong Peng, Helen Y. Wang, Rongfu Wang and Zhong Guo. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, The Journal of Immunology, Blood, OncoImmunology and Cancer Immunology 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.