Qingping Wang
Impact in
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- Regulation of Appetite and Obesity
- Circadian rhythm and melatonin
- Toxicology top 2%
Papers in
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- Protein Tyrosine Phosphatases 15
- Receptor Mechanisms and Signaling 11
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- Neuropeptides and Animal Physiology 12
- Co-authors
- Jon M. Kaguni (3 shared papers)Jian‐Lian Guan (28 shared papers)Seiji Shioda (16 shared papers)Chidambaram Ramachandran (15 shared papers)Hisayuki Funahashi (4 shared papers)Zheng Huang (5 shared papers)Yasumitsu Nakai (13 shared papers)Masamitsu Nakazato (1 shared paper)
- Journals
- Peptides (6 papers)Bioorganic & Medicinal Chemistry Letters (6 papers)Regulatory Peptides (4 papers)Clinica Chimica Acta (3 papers)Biochemistry (3 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Qingping Wang
101 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 118
- Endocrine and Autonomic Systems 657
- Toxicology 115
- Nutrition and Dietetics 346
- Molecular Biology 1.4k
- Cognitive Neuroscience 351
Countries citing papers authored by Qingping Wang
This map shows the geographic impact of Qingping 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 Qingping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingping Wang more than expected).
Fields of papers citing papers by Qingping Wang
This network shows the impact of papers produced by Qingping 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 Qingping Wang. The network helps show where Qingping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingping 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 391 | |
| 2 | 1994 | 137 | |
| 3 | 1989 | 134 | |
| 4 | 2009 | 99 | |
| 5 | 2014 | 98 | |
| 6 | 2003 | 93 | |
| 7 | 2010 | 78 | |
| 8 | 1989 | 70 | |
| 9 | 1987 | 70 | |
| 10 | 1997 | 68 | |
| 11 | 2004 | 62 | |
| 12 | 2004 | 60 | |
| 13 | 2001 | 59 | |
| 14 | 2013 | 56 | |
| 15 | 2014 | 56 | |
| 16 | 2001 | 54 | |
| 17 | 1998 | 54 | |
| 18 | 2003 | 52 | |
| 19 | 2007 | 52 | |
| 20 | 2004 | 49 |
About Qingping Wang
Qingping Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 103 papers that have together received 3.2k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (15 papers), Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (11 papers), Sleep and Wakefulness Research (11 papers), Galectins and Cancer Biology (10 papers), Pain Mechanisms and Treatments (9 papers), CNS Lymphoma Diagnosis and Treatment (8 papers) and Regulation of Appetite and Obesity (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (657 citations), Toxicology (115 citations), Nutrition and Dietetics (346 citations), Molecular Biology (1.4k citations) and Cognitive Neuroscience (351 citations). Qingping Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jon M. Kaguni, Jian‐Lian Guan, Seiji Shioda, Chidambaram Ramachandran, Hisayuki Funahashi, Zheng Huang, Yasumitsu Nakai, Masamitsu Nakazato, Yukari Date and Koji Toshinai. Their work appears in journals such as Peptides, Bioorganic & Medicinal Chemistry Letters, Regulatory Peptides, Clinica Chimica Acta and Biochemistry.
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.