Shu Wang
- Immunology top 10%
- Immune Cell Function and Interaction 8
- Immune Response and Inflammation 5
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- Thyroid Disorders and Treatments 6
- Thyroid Cancer Diagnosis and Treatment 5
- Pathology and Forensic Medicine top 10%
- Ophthalmology and Eye Disorders 5
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- CRISPR and Genetic Engineering 4
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- Genetically Modified Organisms Research 4
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- Diabetes and associated disorders 4
- Co-authors
- Jingya WangElisaveta VoynovaJodi L. KarnellVarsha KumarRachel EttingerLiping YangHongtao LiuGuang Ning
- Journals
- The Journal of Clinical Endocrinology & Metabolism (5 papers)Clinical Immunology (2 papers)Mechanisms of Ageing and Development (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Shu Wang
50 papers receiving 816 citations
Peers
Comparison fields: 5 of 103
- Immunology 254
- Cancer Research 120
- Endocrinology, Diabetes and Metabolism 112
- Pathology and Forensic Medicine 116
- Molecular Biology 321
Countries citing papers authored by Shu Wang
This map shows the geographic impact of Shu 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 Shu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Wang more than expected).
Fields of papers citing papers by Shu Wang
This network shows the impact of papers produced by Shu 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 Shu Wang. The network helps show where Shu Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shu 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 7 | |
| 9 | 2019 | 13 | |
| 10 | 2018 | 12 | |
| 11 | 2017 | 70 | |
| 12 | 2016 | 17 | |
| 13 | 2016 | 16 | |
| 14 | 2010 | 39 | |
| 15 | 2009 | 11 | |
| 16 | Effect of acupuncture and construction of differential expression map of hippocamp proteome in rats with focal cerebral ischemia | 2008 | 1 |
| 17 | 2007 | 24 | |
| 18 | 2007 | 17 | |
| 19 | 2007 | 6 | |
| 20 | 1997 | 15 |
About Shu Wang
Shu Wang is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 55 papers that have together received 837 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Thyroid Disorders and Treatments (6 papers), Ophthalmology and Eye Disorders (5 papers), Immune Response and Inflammation (5 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), Genetically Modified Organisms Research (4 papers), Diabetes and associated disorders (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Immunology (254 citations), Cancer Research (120 citations) and Endocrinology, Diabetes and Metabolism (112 citations). Shu Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jingya Wang, Elisaveta Voynova, Jodi L. Karnell, Varsha Kumar, Rachel Ettinger, Liping Yang, Hongtao Liu, Guang Ning, Guang Ning and Bin Cui. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Immunology, Mechanisms of Ageing and Development, Blood and Scientific Reports.
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.