Xinyan Gu
Impact in
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunodeficiency and Autoimmune Disorders
- Immunotherapy and Immune Responses
Papers in
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- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 2
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- Cytomegalovirus and herpesvirus research 3
- Co-authors
- Dana P. Ascherman (2 shared papers)Paula R. Clemens (2 shared papers)Yasuhiro Katsumata (2 shared papers)Diana Metes (7 shared papers)Camila Macedo (7 shared papers)Adriana Zeevi (5 shared papers)Kangning Xiong (3 shared papers)Eun Ha Kang (1 shared paper)
- Journals
- American Journal of Transplantation (3 papers)Heritage Science (2 papers)Kidney International (2 papers)Science Translational Medicine (1 paper)Journal of Autoimmunity (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Xinyan Gu
14 papers receiving 279 citations
Peers
Comparison fields: 5 of 62
- Transplantation 40
- Immunology 114
- Epidemiology 121
- Rheumatology 43
- Dermatology 17
Countries citing papers authored by Xinyan Gu
This map shows the geographic impact of Xinyan 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 Xinyan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyan Gu more than expected).
Fields of papers citing papers by Xinyan Gu
This network shows the impact of papers produced by Xinyan 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 Xinyan Gu. The network helps show where Xinyan Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinyan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 83 | |
| 2 | 2010 | 44 | |
| 3 | 2020 | 35 | |
| 4 | 2021 | 24 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 15 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 12 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 1 |
About Xinyan Gu
Xinyan Gu is a scholar working on Immunology, Epidemiology, Sociology and Political Science, Transplantation and Molecular Biology, having authored 15 papers that have together received 286 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Renal Transplantation Outcomes and Treatments (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Diverse Aspects of Tourism Research (3 papers), Religious Tourism and Spaces (2 papers), Immunotherapy and Immune Responses (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Transplantation (40 citations), Immunology (114 citations), Epidemiology (121 citations), Rheumatology (43 citations) and Dermatology (17 citations). Xinyan Gu has collaborated with scholars based in United States, China and France. Frequent co-authors include Dana P. Ascherman, Paula R. Clemens, Yasuhiro Katsumata, Diana Metes, Camila Macedo, Adriana Zeevi, Kangning Xiong, Eun Ha Kang, Makoto Soejima and David L. Chin. Their work appears in journals such as American Journal of Transplantation, Heritage Science, Kidney International, Science Translational Medicine and Journal of Autoimmunity.
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.