Jing-Ding Wang
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
Papers in
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- Renal Transplantation Outcomes and Treatments 7
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- Signaling Pathways in Disease 3
- Sphingolipid Metabolism and Signaling 1
- Co-authors
- Patrick T. Ellinor (1 shared paper)Anna Hui (1 shared paper)Oľga Križanová (1 shared paper)A. Schwartz (1 shared paper)Ronald J. Diebold (1 shared paper)Äkïhïko Okuyama (8 shared papers)Kiyomi Matsumiya (5 shared papers)Naotsugu Ichimaru (4 shared papers)
- Journals
- Transplant International (4 papers)The Prostate (1 paper)Cancer Letters (1 paper)Journal of Pharmaceutical and Biomedical Analysis (1 paper)Neuron (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Jing-Ding Wang
11 papers receiving 341 citations
Peers
Comparison fields: 5 of 55
- Transplantation 63
- Cellular and Molecular Neuroscience 102
- Molecular Biology 266
- Sensory Systems 15
- Cell Biology 35
Countries citing papers authored by Jing-Ding Wang
This map shows the geographic impact of Jing-Ding Wang'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 Jing-Ding Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing-Ding Wang more than expected).
Fields of papers citing papers by Jing-Ding Wang
This network shows the impact of papers produced by Jing-Ding Wang. 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 Jing-Ding Wang. The network helps show where Jing-Ding Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing-Ding Wang, 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 | 1991 | 165 | |
| 2 | 1999 | 70 | |
| 3 | 2001 | 34 | |
| 4 | 2002 | 28 | |
| 5 | 2001 | 23 | |
| 6 | Genetic study of a large Chinese kindred with von Hippel-Lindau disease. | 2004 | 13 |
| 7 | 2000 | 4 | |
| 8 | 1998 | 4 | |
| 9 | 1998 | 4 | |
| 10 | 2000 | 2 | |
| 11 | Chronic cyclosporin-induced nephropathy. | 2001 | 2 |
About Jing-Ding Wang
Jing-Ding Wang is a scholar working on Transplantation, Molecular Biology, Surgery, Genetics and Immunology, having authored 11 papers that have together received 349 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (7 papers), Signaling Pathways in Disease (3 papers), Estrogen and related hormone effects (2 papers), Reproductive System and Pregnancy (2 papers), Orthopaedic implants and arthroplasty (2 papers), Cancer Mechanisms and Therapy (1 paper), Potassium and Related Disorders (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Transplantation (63 citations), Cellular and Molecular Neuroscience (102 citations), Molecular Biology (266 citations), Sensory Systems (15 citations) and Cell Biology (35 citations). Jing-Ding Wang has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Patrick T. Ellinor, Anna Hui, Oľga Križanová, A. Schwartz, Ronald J. Diebold, Äkïhïko Okuyama, Kiyomi Matsumiya, Naotsugu Ichimaru, Seiichi Suzuki and Haruhito Azuma. Their work appears in journals such as Transplant International, The Prostate, Cancer Letters, Journal of Pharmaceutical and Biomedical Analysis and Neuron.
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.