Yueying Gu
- Rheumatology top 2%
- Immunology top 10%
- Epidemiology
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Co-authors
- Shuang YeShun‐le ChenChunde BaoHaiting WangSheng ChenTing LiXiaoxiang ChenChengde Yang
- Topics
- Systemic Lupus Erythematosus Research (16 papers)Atherosclerosis and Cardiovascular Diseases (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
- Cited by
- RheumatologyImmunologyEpidemiology
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yueying Gu
28 papers receiving 851 citations
Peers
Comparison fields: 5 of 83
- Rheumatology 479
- Immunology 304
- Epidemiology 220
- Pulmonary and Respiratory Medicine 201
- Molecular Biology 160
Countries citing papers authored by Yueying Gu
This map shows the geographic impact of Yueying 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 Yueying Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yueying Gu more than expected).
Fields of papers citing papers by Yueying Gu
This network shows the impact of papers produced by Yueying 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 Yueying Gu. The network helps show where Yueying Gu may publish in the future.
Co-authorship network of co-authors of Yueying Gu
This figure shows the co-authorship network connecting the top 25 collaborators of Yueying Gu. A scholar is included among the top collaborators of Yueying Gu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yueying Gu. Yueying Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 250 | |
| 4 | 11 | |
| 5 | 23 | |
| 6 | 34 | |
| 7 | 29 | |
| 8 | 29 | |
| 9 | 9 | |
| 10 | 43 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | [Peripheral blood mRNA and interferon gene expression in systemic lupus erythematosus]. | 1 |
| 14 | 77 | |
| 15 | Leflunomide, a new disease-modifying drug for treating active rheumatoid arthritis in methotrexate-controlled phase II clinical trial | 7 |
| 16 | Transfection, overexpression and clinical application of human 60 kDa Ro/SSA autoantigens in HEp-2 cells. | 1 |
| 17 | [Association between Bcl-2 gene polymorphism with systemic lupus erythematosus]. | 8 |
| 18 | An elghteen year follow up study of systemic lupus erythematosus | 1 |
| 19 | 82 | |
| 20 | 4 |
About Yueying Gu
Yueying Gu is a scholar working on Rheumatology, Immunology and Transportation, having authored 30 papers that have together received 879 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (16 papers), Atherosclerosis and Cardiovascular Diseases (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Rheumatology (479 citations), Immunology (304 citations) and Epidemiology (220 citations). Yueying Gu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shuang Ye, Shun‐le Chen, Chunde Bao, Haiting Wang, Sheng Chen, Ting Li, Xiaoxiang Chen, Chengde Yang, Xiaoye Lu and Meifang Wu. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Arthritis Research & Therapy.
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.