Rujun Gong
- Nephrology top 0.5%
- Renal Diseases and Glomerulopathies 28
- Chronic Kidney Disease and Diabetes 13
- Acute Kidney Injury Research 7
- Physiology top 2%
- Hepatology top 5%
- Liver physiology and pathology 8
- Molecular Biology top 5%
- Renal and related cancers 9
- Wnt/β-catenin signaling in development and cancer 7
- Immunology top 5%
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- Hormonal Regulation and Hypertension 9
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- Cholesterol and Lipid Metabolism 6
- Co-authors
- Lance D. DworkinYan GeShougang ZhuangEvelyn TolbertAbdalla RifaiMurugavel PonnusamyZhangsuo LiuGeorge Bayliss
- Cited by
- NephrologyPhysiologyHepatology
- Journals
- Kidney International (12 papers)Journal of the American Society of Nephrology (9 papers)American Journal of Physiology-Renal Physiology (7 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Rujun Gong
97 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 115
- Nephrology 1.3k
- Physiology 145
- Hepatology 206
- Molecular Biology 1.6k
- Immunology 439
Countries citing papers authored by Rujun Gong
This map shows the geographic impact of Rujun Gong'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 Rujun Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rujun Gong more than expected).
Fields of papers citing papers by Rujun Gong
This network shows the impact of papers produced by Rujun Gong. 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 Rujun Gong. The network helps show where Rujun Gong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rujun Gong, 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 | 2025 | 8 | |
| 2 | 2024 | 22 | |
| 3 | 2024 | 3 | |
| 4 | 2021 | 26 | |
| 5 | 2019 | 46 | |
| 6 | 2018 | 14 | |
| 7 | 2018 | 52 | |
| 8 | 2014 | 77 | |
| 9 | 2014 | 34 | |
| 10 | 2014 | 71 | |
| 11 | 2013 | 4 | |
| 12 | 2012 | 28 | |
| 13 | 2012 | 3 | |
| 14 | 2010 | 19 | |
| 15 | 2010 | 19 | |
| 16 | 2008 | 66 | |
| 17 | 2008 | 10 | |
| 18 | 2004 | 59 | |
| 19 | 2004 | 91 | |
| 20 | Clinical manifestations and pathological characteristics of lipoprotein glomerulopathy | 2002 | 2 |
About Rujun Gong
Rujun Gong is a scholar working on Nephrology, Physiology, Hepatology, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 102 papers that have together received 3.8k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (28 papers), Chronic Kidney Disease and Diabetes (13 papers), Hormonal Regulation and Hypertension (9 papers), Renal and related cancers (9 papers), Liver physiology and pathology (8 papers), Acute Kidney Injury Research (7 papers), Wnt/β-catenin signaling in development and cancer (7 papers) and Cholesterol and Lipid Metabolism (6 papers). The work is most often cited by research in Nephrology (1.3k citations), Physiology (145 citations), Hepatology (206 citations), Molecular Biology (1.6k citations) and Immunology (439 citations). Rujun Gong has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Lance D. Dworkin, Yan Ge, Shougang Zhuang, Evelyn Tolbert, Abdalla Rifai, Murugavel Ponnusamy, Zhangsuo Liu, George Bayliss, Haidong Yan and Ai Peng. Their work appears in journals such as Kidney International, Journal of the American Society of Nephrology, American Journal of Physiology-Renal Physiology, Scientific Reports and Clinical Science.
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.