Baihua Shen
- Genetics top 5%
- Immunology top 5%
- Immunotherapy and Immune Responses 11
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 8
- Psoriasis: Treatment and Pathogenesis 6
- Immune Response and Inflammation 4
- Rheumatology top 5%
- Cancer Research top 10%
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- Connective Tissue Growth Factor Research 15
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- Fibromyalgia and Chronic Fatigue Syndrome Research 7
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Ningli LiRongfen HuoYue SunJie ZhangJinpiao LinLianbo XiaoHuiming ShengHuidan Li
- Cited by
- GeneticsImmunologyRheumatology
- Journals
- The Journal of Immunology (1 paper)PLoS ONE (1 paper)Journal of Agricultural and Food Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Baihua Shen
40 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Genetics 279
- Immunology 509
- Rheumatology 215
- Cancer Research 194
- Complementary and alternative medicine 103
Countries citing papers authored by Baihua Shen
This map shows the geographic impact of Baihua Shen'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 Baihua Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baihua Shen more than expected).
Fields of papers citing papers by Baihua Shen
This network shows the impact of papers produced by Baihua Shen. 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 Baihua Shen. The network helps show where Baihua Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Baihua Shen, 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 | 3 | |
| 2 | 2019 | 25 | |
| 3 | 2017 | 39 | |
| 4 | 2017 | 26 | |
| 5 | 2016 | 36 | |
| 6 | 2015 | 40 | |
| 7 | 2015 | 17 | |
| 8 | 2015 | 22 | |
| 9 | 2015 | 70 | |
| 10 | 2014 | 17 | |
| 11 | 2009 | 107 | |
| 12 | 2008 | 22 | |
| 13 | 2008 | 317 | |
| 14 | 2007 | 29 | |
| 15 | 2007 | 14 | |
| 16 | 2006 | 12 | |
| 17 | 2005 | 5 | |
| 18 | Preliminary study on establishing the experimental immunosuppression model of allogynogenetic silver crucian carp | 2004 | 2 |
| 19 | The immuno-suppressive effects of cyclophosphamide and Aeromonas Hydrophila on Fugu Obscurus | 2004 | 1 |
| 20 | 1997 | 1 |
About Baihua Shen
Baihua Shen is a scholar working on Immunology, Psychiatry and Mental health and Rheumatology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (15 papers), Immunotherapy and Immune Responses (11 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (8 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (7 papers), Psoriasis: Treatment and Pathogenesis (6 papers), Immune Response and Inflammation (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Genetics (279 citations), Immunology (509 citations) and Rheumatology (215 citations). Baihua Shen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ningli Li, Rongfen Huo, Yue Sun, Jie Zhang, Jinpiao Lin, Lianbo Xiao, Huiming Sheng, Huidan Li, Li Wang and Tianhang Zhai. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Journal of Agricultural and Food Chemistry.
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.