Yang Yang
Impact in
- Biochemistry top 0.5%
- Sulfur Compounds in Biology
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Ion channel regulation and function 26
- Physiology 91
- Pain Mechanisms and Treatments 26
- Adipose Tissue and Metabolism 25
- Co-authors
- Sulayman D. Dib‐Hajj (16 shared papers)Stephen G. Waxman (18 shared papers)Joel A. Black (1 shared paper)Matthew N. Rasband (4 shared papers)Christoph Benning (5 shared papers)Chun Jiang (14 shared papers)Weiwei Shi (10 shared papers)Yasuhiro Ogawa (2 shared papers)
- Journals
- PLoS ONE (9 papers)Journal of Biological Chemistry (8 papers)Journal of Neuroscience (6 papers)Talanta (5 papers)Oncotarget (5 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yang Yang
422 papers receiving 9.5k citations
Peers
Comparison fields: 5 of 176
- Biochemistry 700
- Developmental Neuroscience 365
- Physiology 1.8k
- Cellular and Molecular Neuroscience 1.3k
- Molecular Biology 3.9k
Countries citing papers authored by Yang Yang
This map shows the geographic impact of Yang Yang'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 Yang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Yang more than expected).
Fields of papers citing papers by Yang Yang
This network shows the impact of papers produced by Yang Yang. 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 Yang Yang. The network helps show where Yang Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Yang, 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 446 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 439 | |
| 2 | 2018 | 245 | |
| 3 | 2012 | 216 | |
| 4 | 2008 | 200 | |
| 5 | 2007 | 163 | |
| 6 | 2019 | 156 | |
| 7 | 2017 | 141 | |
| 8 | 2006 | 136 | |
| 9 | 2015 | 120 | |
| 10 | 2004 | 119 | |
| 11 | 2017 | 109 | |
| 12 | 2005 | 108 | |
| 13 | 2014 | 98 | |
| 14 | 2019 | 95 | |
| 15 | 2012 | 82 | |
| 16 | 2018 | 82 | |
| 17 | 2016 | 78 | |
| 18 | 2011 | 76 | |
| 19 | 2018 | 76 | |
| 20 | 2006 | 75 |
About Yang Yang
Yang Yang is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Oncology, having authored 446 papers that have together received 9.6k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (26 papers), Ion channel regulation and function (26 papers), Adipose Tissue and Metabolism (25 papers), Neuroscience and Neuropharmacology Research (23 papers), Sulfur Compounds in Biology (21 papers), Neurogenesis and neuroplasticity mechanisms (21 papers), Cytokine Signaling Pathways and Interactions (17 papers) and Glioma Diagnosis and Treatment (16 papers). The work is most often cited by research in Biochemistry (700 citations), Developmental Neuroscience (365 citations), Physiology (1.8k citations), Cellular and Molecular Neuroscience (1.3k citations) and Molecular Biology (3.9k citations). Yang Yang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Sulayman D. Dib‐Hajj, Stephen G. Waxman, Joel A. Black, Matthew N. Rasband, Christoph Benning, Chun Jiang, Weiwei Shi, Yasuhiro Ogawa, Ningren Cui and Stefan Uhlig. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, Journal of Neuroscience, Talanta and Oncotarget.
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.