Run Wang
Impact in
- Reproductive Medicine top 2%
- Sperm and Testicular Function
- Ovarian function and disorders
- Bioengineering top 5%
- Analytical Chemistry and Sensors
Papers in
-
- Sperm and Testicular Function 4
- Co-authors
- Suresh C. Sikka (4 shared papers)Wayne J.G. Hellstrom (4 shared papers)Michelle Bell (3 shared papers)Upvan Narang (1 shared paper)Paras N. Prasad (1 shared paper)Frank V. Bright (1 shared paper)Shizhu Yu (4 shared papers)Cuijuan Shi (4 shared papers)
- Journals
- Fertility and Sterility (3 papers)Cell Death and Disease (2 papers)Advanced Science (1 paper)Analytical Chemistry (1 paper)Energy & Fuels (1 paper)
- Partner nations
- ChinaUnited StatesMontenegro
In The Last Decade
Run Wang
18 papers receiving 675 citations
Peers
Comparison fields: 5 of 92
- Reproductive Medicine 252
- Bioengineering 73
- Physiology 39
- Public Health, Environmental and Occupational Health 163
- Cancer Research 73
Countries citing papers authored by Run Wang
This map shows the geographic impact of Run 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 Run Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run Wang more than expected).
Fields of papers citing papers by Run Wang
This network shows the impact of papers produced by Run 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 Run Wang. The network helps show where Run Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Run 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 | 1993 | 163 | |
| 2 | 1994 | 153 | |
| 3 | 2018 | 115 | |
| 4 | 1993 | 96 | |
| 5 | 1991 | 47 | |
| 6 | 1993 | 32 | |
| 7 | 2020 | 24 | |
| 8 | 2018 | 22 | |
| 9 | 2023 | 21 | |
| 10 | 2024 | 16 | |
| 11 | 2021 | 12 | |
| 12 | Kinetic analysis of icodextrin interference with serum amylase assays. | 2002 | 11 |
| 13 | 2022 | 5 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2026 | 1 | |
| 19 | 2024 | 0 |
About Run Wang
Run Wang is a scholar working on Reproductive Medicine, Biochemistry, Radiology, Nuclear Medicine and Imaging, Physiology and Molecular Biology, having authored 19 papers that have together received 725 indexed citations. Recurring topics across this work include Sperm and Testicular Function (4 papers), Clinical Laboratory Practices and Quality Control (2 papers), Reproductive Biology and Fertility (2 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Dialysis and Renal Disease Management (1 paper), Copper-based nanomaterials and applications (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Reproductive Medicine (252 citations), Bioengineering (73 citations), Physiology (39 citations), Public Health, Environmental and Occupational Health (163 citations) and Cancer Research (73 citations). Run Wang has collaborated with scholars based in China, United States and Montenegro. Frequent co-authors include Suresh C. Sikka, Wayne J.G. Hellstrom, Michelle Bell, Upvan Narang, Paras N. Prasad, Frank V. Bright, Shizhu Yu, Cuijuan Shi, Lin Yu and Dan Hua. Their work appears in journals such as Fertility and Sterility, Cell Death and Disease, Advanced Science, Analytical Chemistry and Energy & Fuels.
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.