Shenglan Wang
Impact in
- Sensory Systems top 1%
- Ion Channels and Receptors
- Physiology top 10%
- Pain Mechanisms and Treatments
Papers in
- Surgery 12
- Co-authors
- Koichi Noguchi (10 shared papers)Yi Dai (10 shared papers)Kimiko Kobayashi (7 shared papers)Hiroki Yamanaka (6 shared papers)Satoshi Yamamoto (5 shared papers)Koichi Obata (4 shared papers)Changqing Yang (7 shared papers)Tetsuo Fukuoka (2 shared papers)
In The Last Decade
Shenglan Wang
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Sensory Systems 351
- Physiology 300
- Cellular and Molecular Neuroscience 178
- Gastroenterology 51
- Complementary and alternative medicine 71
Countries citing papers authored by Shenglan Wang
This map shows the geographic impact of Shenglan 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 Shenglan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shenglan Wang more than expected).
Fields of papers citing papers by Shenglan Wang
This network shows the impact of papers produced by Shenglan 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 Shenglan Wang. The network helps show where Shenglan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shenglan 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
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 358 | |
| 2 | 2012 | 78 | |
| 3 | 2017 | 77 | |
| 4 | 2015 | 51 | |
| 5 | 2009 | 49 | |
| 6 | 2008 | 45 | |
| 7 | 2007 | 34 | |
| 8 | 2013 | 32 | |
| 9 | 2007 | 31 | |
| 10 | 2019 | 26 | |
| 11 | 2008 | 23 | |
| 12 | 2007 | 21 | |
| 13 | 2007 | 19 | |
| 14 | Hepatorenal syndrome: insights into the mechanisms of intra-abdominal hypertension. | 2013 | 18 |
| 15 | Inhibitory effect of bone morphogenetic protein-7 on hepatic fibrosis in rats. | 2013 | 18 |
| 16 | 2017 | 17 | |
| 17 | 2007 | 16 | |
| 18 | 2019 | 14 | |
| 19 | 2003 | 12 | |
| 20 | 2021 | 12 |
About Shenglan Wang
Shenglan Wang is a scholar working on Surgery, Molecular Biology, Oncology, Epidemiology and Physiology, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (6 papers), Ion Channels and Receptors (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Lichen and fungal ecology (4 papers), Microbial Natural Products and Biosynthesis (4 papers), Liver Disease and Transplantation (3 papers), Liver physiology and pathology (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Sensory Systems (351 citations), Physiology (300 citations), Cellular and Molecular Neuroscience (178 citations), Gastroenterology (51 citations) and Complementary and alternative medicine (71 citations). Shenglan Wang has collaborated with scholars based in China, Taiwan and Japan. Frequent co-authors include Koichi Noguchi, Yi Dai, Kimiko Kobayashi, Hiroki Yamanaka, Satoshi Yamamoto, Koichi Obata, Changqing Yang, Tetsuo Fukuoka, Makoto Tominaga and Tomohiro Higashi. Their work appears in journals such as Molecular Pain, Apmis, Journal of Clinical Investigation, Scientific Reports and International Journal of Medical Sciences.
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.