Siming Gao
Impact in
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
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- Eosinophilic Disorders and Syndromes
Papers in
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- Inflammatory Myopathies and Dermatomyositis 9
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- Muscle Physiology and Disorders 2
- Co-authors
- Honglin Zhu (10 shared papers)Hui Luo (8 shared papers)Xiaoxia Zuo (8 shared papers)Huali Zhang (8 shared papers)Yizhi Xiao (6 shared papers)Di Liu (4 shared papers)Bin Zhou (3 shared papers)Li Wang (2 shared papers)
- Journals
- Lara D. Veeken (2 papers)Biomedicine & Pharmacotherapy (2 papers)Radiotherapy and Oncology (2 papers)Microbial Pathogenesis (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Siming Gao
20 papers receiving 354 citations
Peers
Comparison fields: 5 of 63
- Immunology 72
- Rheumatology 47
- Cancer Research 41
- Epidemiology 91
- Pathology and Forensic Medicine 45
Countries citing papers authored by Siming Gao
This map shows the geographic impact of Siming Gao'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 Siming Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siming Gao more than expected).
Fields of papers citing papers by Siming Gao
This network shows the impact of papers produced by Siming Gao. 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 Siming Gao. The network helps show where Siming Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Siming Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 70 | |
| 2 | 2020 | 41 | |
| 3 | 2017 | 41 | |
| 4 | 2017 | 37 | |
| 5 | 2018 | 35 | |
| 6 | 2021 | 26 | |
| 7 | 2018 | 26 | |
| 8 | 2017 | 18 | |
| 9 | 2019 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2018 | 13 | |
| 12 | 2018 | 9 | |
| 13 | 2023 | 6 | |
| 14 | 2021 | 4 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2022 | 1 |
About Siming Gao
Siming Gao is a scholar working on Epidemiology, Molecular Biology, Oncology, Immunology and Nephrology, having authored 21 papers that have together received 358 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (9 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Spondyloarthritis Studies and Treatments (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Muscle Physiology and Disorders (2 papers), Innovative concrete reinforcement materials (1 paper), Dermatologic Treatments and Research (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Immunology (72 citations), Rheumatology (47 citations), Cancer Research (41 citations), Epidemiology (91 citations) and Pathology and Forensic Medicine (45 citations). Siming Gao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Honglin Zhu, Hui Luo, Xiaoxia Zuo, Huali Zhang, Yizhi Xiao, Di Liu, Bin Zhou, Li Wang, Yisha Li and Chunjie Wang. Their work appears in journals such as Lara D. Veeken, Biomedicine & Pharmacotherapy, Radiotherapy and Oncology, Microbial Pathogenesis and International Immunopharmacology.
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.