Haiguang Wang
- Immunology top 5%
- Immune Cell Function and Interaction 11
- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 3
- Immune cells in cancer 3
- Physiology top 2%
- Adenosine and Purinergic Signaling 3
- Hepatology top 10%
- Liver Diseases and Immunity 3
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment 5
- Endocrinology top 10%
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- Diabetes and associated disorders 3
- Co-authors
- Kristin A. HogquistStephen C. JamesonYou Jeong LeeXavier S. ReveloGabriel J. StarrettFanta BarrowSaad KhanHenrique Borges da Silva
- Cited by
- ImmunologyPhysiologyHepatology
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (1 paper)Immunity (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Haiguang Wang
27 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Immunology 902
- Physiology 133
- Hepatology 104
- Epidemiology 337
- Endocrinology 45
Countries citing papers authored by Haiguang Wang
This map shows the geographic impact of Haiguang 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 Haiguang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiguang Wang more than expected).
Fields of papers citing papers by Haiguang Wang
This network shows the impact of papers produced by Haiguang 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 Haiguang Wang. The network helps show where Haiguang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haiguang 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 | 2025 | 2 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 15 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 33 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 54 | |
| 8 | 2021 | 60 | |
| 9 | 2021 | 88 | |
| 10 | Microbiota‐Driven Activation of Intrahepatic B Cells Aggravates NASH Through Innate and Adaptive Signalingbreakdown → | 2021 | 149 |
| 11 | 2021 | 48 | |
| 12 | 2020 | 91 | |
| 13 | 2019 | 44 | |
| 14 | 2019 | 37 | |
| 15 | 2018 | 206 | |
| 16 | 2018 | 3 | |
| 17 | 2018 | 193 | |
| 18 | 2018 | 55 | |
| 19 | 2015 | 236 | |
| 20 | 2011 | 23 |
About Haiguang Wang
Haiguang Wang is a scholar working on Physiology, Immunology and Endocrinology, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Adenosine and Purinergic Signaling (3 papers), Diabetes and associated disorders (3 papers), Immunotherapy and Immune Responses (3 papers), Immune cells in cancer (3 papers) and Liver Diseases and Immunity (3 papers). The work is most often cited by research in Immunology (902 citations), Physiology (133 citations) and Hepatology (104 citations). Haiguang Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Kristin A. Hogquist, Stephen C. Jameson, You Jeong Lee, Xavier S. Revelo, Gabriel J. Starrett, Fanta Barrow, Saad Khan, Henrique Borges da Silva, Alexander Khoruts and Kelsey M. Wanhainen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Immunity.
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.