Liyang Gu
Impact in
- Rheumatology top 10%
- Eosinophilic Disorders and Syndromes
- Systemic Lupus Erythematosus Research
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- Autoimmune and Inflammatory Disorders Research
Papers in
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- Inflammatory Myopathies and Dermatomyositis 6
-
- Systemic Lupus Erythematosus Research 5
- Eosinophilic Disorders and Syndromes 2
- Rheumatoid Arthritis Research and Therapies 2
- Co-authors
- Xiaodong Wang (12 shared papers)Shuang Ye (15 shared papers)Li Guo (4 shared papers)Fangfang Sun (7 shared papers)Zhiwei Chen (7 shared papers)Ting Li (1 shared paper)Sheng Chen (1 shared paper)Ting Li (5 shared papers)
In The Last Decade
Liyang Gu
18 papers receiving 293 citations
Peers
Comparison fields: 5 of 39
- Rheumatology 149
- Hematology 48
- Epidemiology 136
- Pulmonary and Respiratory Medicine 123
- Immunology 76
Countries citing papers authored by Liyang Gu
This map shows the geographic impact of Liyang Gu'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 Liyang Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyang Gu more than expected).
Fields of papers citing papers by Liyang Gu
This network shows the impact of papers produced by Liyang Gu. 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 Liyang Gu. The network helps show where Liyang Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Liyang Gu, 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 | 2016 | 85 | |
| 2 | 2018 | 46 | |
| 3 | 2017 | 32 | |
| 4 | 2023 | 18 | |
| 5 | 2011 | 15 | |
| 6 | 2019 | 14 | |
| 7 | 2020 | 14 | |
| 8 | 2017 | 14 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2015 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2024 | 3 | |
| 16 | 2018 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2023 | 0 |
About Liyang Gu
Liyang Gu is a scholar working on Epidemiology, Rheumatology, Immunology, Hematology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 297 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (6 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Systemic Lupus Erythematosus Research (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Dermatological and Skeletal Disorders (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). The work is most often cited by research in Rheumatology (149 citations), Hematology (48 citations), Epidemiology (136 citations), Pulmonary and Respiratory Medicine (123 citations) and Immunology (76 citations). Liyang Gu has collaborated with scholars based in China, Germany and France. Frequent co-authors include Xiaodong Wang, Shuang Ye, Li Guo, Fangfang Sun, Zhiwei Chen, Ting Li, Sheng Chen, Ting Li, Jiajie Li and Ting Li. Their work appears in journals such as Scientific Reports, Frontiers in Immunology, Clinical Rheumatology, Helicobacter and Medicine.
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.