Jianling Tao
- Molecular Biology top 10%
- Nephrology top 0.5%
- Epidemiology top 10%
- Surgery
- Pathology and Forensic Medicine top 10%
- Co-authors
- Katalin SusztákHyun Mi KangFrank ChingaSeung Hyeok HanAe Seo Deok ParkSeon Ho AhnIra J. GoldbergJames Pullman
- Topics
- Renal Diseases and Glomerulopathies (15 papers)Chronic Kidney Disease and Diabetes (6 papers)Renal and related cancers (3 papers)
- Journals
- Journal of Clinical InvestigationNature MedicineSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Jianling Tao
30 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 697
- Nephrology 685
- Epidemiology 260
- Surgery 225
- Pathology and Forensic Medicine 191
Countries citing papers authored by Jianling Tao
This map shows the geographic impact of Jianling Tao'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 Jianling Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianling Tao more than expected).
Fields of papers citing papers by Jianling Tao
This network shows the impact of papers produced by Jianling Tao. 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 Jianling Tao. The network helps show where Jianling Tao may publish in the future.
Co-authorship network of co-authors of Jianling Tao
This figure shows the co-authorship network connecting the top 25 collaborators of Jianling Tao. A scholar is included among the top collaborators of Jianling Tao 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 Jianling Tao. Jianling Tao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 29 | |
| 7 | 57 | |
| 8 | 6 | |
| 9 | 15 | |
| 10 | 101 | |
| 11 | 39 | |
| 12 | 36 | |
| 13 | Defective fatty acid oxidation in renal tubular epithelial cells has a key role in kidney fibrosis developmentbreakdown → | 1119 |
| 14 | Analysis of clinicopathology and plasmapheresis efficacy in patients with anti-glomerular basement membrane disease | 1 |
| 15 | 94 | |
| 16 | 8 | |
| 17 | 0 | |
| 18 | 9 | |
| 19 | [Risk factors of post-renal biopsy bleeding]. | 5 |
| 20 | 3 |
About Jianling Tao
Jianling Tao is a scholar working on Nephrology, Immunology and Pathology and Forensic Medicine, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (15 papers), Chronic Kidney Disease and Diabetes (6 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Nephrology (685 citations), Clinical Biochemistry (162 citations) and Transplantation (34 citations). Jianling Tao has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Katalin Suszták, Hyun Mi Kang, Frank Chinga, Seung Hyeok Han, Ae Seo Deok Park, Seon Ho Ahn, Ira J. Goldberg, James Pullman, Peter S. Choi and Yi-An Ko. Their work appears in journals such as Journal of Clinical Investigation, Nature Medicine and SHILAP Revista de lepidopterología.
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.