Xiaozhen Tan
Impact in
- Nephrology top 10%
-
- DNA and Nucleic Acid Chemistry
- Inflammasome and immune disorders
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- Gut microbiota and health
Papers in
-
- Gut microbiota and health 2
- Inflammasome and immune disorders 2
- Signaling Pathways in Disease 2
-
- Diet, Metabolism, and Disease 3
- Co-authors
- Yong Xu (21 shared papers)Man Guo (12 shared papers)Fang‐Yuan Teng (9 shared papers)Zongzhe Jiang (8 shared papers)Yang Long (10 shared papers)Shengrong Wan (5 shared papers)Yan Zeng (8 shared papers)Xu‐Guang Xi (1 shared paper)
In The Last Decade
Xiaozhen Tan
27 papers receiving 555 citations
Peers
Comparison fields: 5 of 84
- Nephrology 41
- Molecular Biology 266
- Endocrinology, Diabetes and Metabolism 51
- Immunology 59
- Physiology 66
Countries citing papers authored by Xiaozhen Tan
This map shows the geographic impact of Xiaozhen Tan'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 Xiaozhen Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaozhen Tan more than expected).
Fields of papers citing papers by Xiaozhen Tan
This network shows the impact of papers produced by Xiaozhen Tan. 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 Xiaozhen Tan. The network helps show where Xiaozhen Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaozhen Tan, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 99 | |
| 2 | 2019 | 96 | |
| 3 | 2021 | 57 | |
| 4 | 2021 | 46 | |
| 5 | 2022 | 30 | |
| 6 | 2023 | 26 | |
| 7 | 2024 | 24 | |
| 8 | 2021 | 22 | |
| 9 | 2023 | 22 | |
| 10 | 2023 | 21 | |
| 11 | 2023 | 20 | |
| 12 | 2024 | 17 | |
| 13 | 2021 | 14 | |
| 14 | 2023 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2025 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 4 |
About Xiaozhen Tan
Xiaozhen Tan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Nephrology and Epidemiology, having authored 30 papers that have together received 557 indexed citations. Recurring topics across this work include Diet and metabolism studies (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Diet, Metabolism, and Disease (3 papers), interferon and immune responses (2 papers), Gut microbiota and health (2 papers), Inflammasome and immune disorders (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Nephrology (41 citations), Molecular Biology (266 citations), Endocrinology, Diabetes and Metabolism (51 citations), Immunology (59 citations) and Physiology (66 citations). Xiaozhen Tan has collaborated with scholars based in China, Macao and France. Frequent co-authors include Yong Xu, Man Guo, Fang‐Yuan Teng, Zongzhe Jiang, Yang Long, Shengrong Wan, Yan Zeng, Xu‐Guang Xi, Chunxia Jiang and Shaowei Chen. Their work appears in journals such as Advances in Nutrition, Diabetes & Metabolism Journal, Oxidative Medicine and Cellular Longevity, Cell Death Discovery and Frontiers in Endocrinology.
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.