Jun Ji
Impact in
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- Acupuncture Treatment Research Studies
- Complementary and Alternative Medicine Studies
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
- Dialysis and Renal Disease Management
Papers in
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- Acupuncture Treatment Research Studies 5
- Traditional Chinese Medicine Studies 4
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- Dialysis and Renal Disease Management 3
- Co-authors
- Huangan Wu (4 shared papers)Luyi Wu (4 shared papers)Huirong Liu (3 shared papers)Fuqing Zhang (1 shared paper)Yunhua Cui (1 shared paper)Hui Feng (1 shared paper)Yuan Lu (1 shared paper)Jia Xu (1 shared paper)
- Journals
- Renal Failure (2 papers)Chinese Journal of Integrative Medicine (2 papers)World Journal of Traditional Chinese Medicine (1 paper)BMC Nephrology (1 paper)Blood Purification (1 paper)
- Partner nations
- ChinaHong KongSouth Korea
In The Last Decade
Jun Ji
23 papers receiving 286 citations
Peers
Comparison fields: 5 of 75
- Complementary and alternative medicine 70
- Nephrology 45
- Gastroenterology 26
- Urology 15
- Pharmacy 8
Countries citing papers authored by Jun Ji
This map shows the geographic impact of Jun Ji'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 Jun Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ji more than expected).
Fields of papers citing papers by Jun Ji
This network shows the impact of papers produced by Jun Ji. 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 Jun Ji. The network helps show where Jun Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ji, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 76 | |
| 2 | 2018 | 37 | |
| 3 | 2019 | 31 | |
| 4 | 2016 | 27 | |
| 5 | 2014 | 21 | |
| 6 | 2017 | 20 | |
| 7 | 2021 | 17 | |
| 8 | 2022 | 14 | |
| 9 | 2018 | 9 | |
| 10 | 2014 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2011 | 7 | |
| 13 | An Overview of Research on Functional Module Detection for Protein-protein Interaction Networks | 2014 | 6 |
| 14 | 2023 | 6 | |
| 15 | 2011 | 4 | |
| 16 | 2005 | 3 | |
| 17 | 2016 | 3 | |
| 18 | 2016 | 2 | |
| 19 | Comparison of death causes between patients with hemodialysis and peritoneal dialysis | 2010 | 1 |
| 20 | 2013 | 1 |
About Jun Ji
Jun Ji is a scholar working on Complementary and alternative medicine, Nephrology, Dermatology, Rheumatology and Molecular Biology, having authored 26 papers that have together received 303 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (5 papers), Traditional Chinese Medicine Studies (4 papers), Dermatology and Skin Diseases (4 papers), Urticaria and Related Conditions (3 papers), Dialysis and Renal Disease Management (3 papers), Healthcare and Venom Research (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and Urinary Bladder and Prostate Research (2 papers). The work is most often cited by research in Complementary and alternative medicine (70 citations), Nephrology (45 citations), Gastroenterology (26 citations), Urology (15 citations) and Pharmacy (8 citations). Jun Ji has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Huangan Wu, Luyi Wu, Huirong Liu, Fuqing Zhang, Yunhua Cui, Hui Feng, Yuan Lu, Jia Xu, Jian Pei and Xialian Xu. Their work appears in journals such as Renal Failure, Chinese Journal of Integrative Medicine, World Journal of Traditional Chinese Medicine, BMC Nephrology and Blood Purification.
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.