Yingfei Wang
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Physiology top 2%
Papers in
-
- Epigenetics and DNA Methylation 7
- Mitochondrial Function and Pathology 6
- Advanced biosensing and bioanalysis techniques 6
- Receptor Mechanisms and Signaling 5
- RNA modifications and cancer 5
-
- Cancer, Hypoxia, and Metabolism 10
- Protease and Inhibitor Mechanisms 6
- Co-authors
- Weibo Luo (35 shared papers)Georg Reiser (13 shared papers)Valina L. Dawson (6 shared papers)Ted M. Dawson (6 shared papers)Yijie Wang (1 shared paper)Hui Peng (2 shared papers)Yan Chen (10 shared papers)Lei Bao (13 shared papers)
- Journals
- Journal of Neurochemistry (6 papers)Nature Communications (4 papers)Cellular and Molecular Life Sciences (4 papers)Cancer Research (3 papers)Journal of Clinical Investigation (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Yingfei Wang
79 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 598
- Physiology 158
- Hematology 280
- Molecular Biology 1.8k
- Oncology 633
Countries citing papers authored by Yingfei Wang
This map shows the geographic impact of Yingfei 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 Yingfei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingfei Wang more than expected).
Fields of papers citing papers by Yingfei Wang
This network shows the impact of papers produced by Yingfei 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 Yingfei Wang. The network helps show where Yingfei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingfei 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 371 | |
| 2 | 2009 | 325 | |
| 3 | 2019 | 187 | |
| 4 | 2020 | 159 | |
| 5 | 2007 | 142 | |
| 6 | 2018 | 128 | |
| 7 | 2007 | 124 | |
| 8 | 2020 | 100 | |
| 9 | 2018 | 99 | |
| 10 | 2009 | 83 | |
| 11 | 2009 | 77 | |
| 12 | 2021 | 72 | |
| 13 | 2019 | 70 | |
| 14 | 2006 | 56 | |
| 15 | 2023 | 53 | |
| 16 | 2017 | 51 | |
| 17 | 2007 | 49 | |
| 18 | 2022 | 48 | |
| 19 | 2020 | 47 | |
| 20 | 2007 | 45 |
About Yingfei Wang
Yingfei Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Cellular and Molecular Neuroscience, having authored 82 papers that have together received 3.3k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (10 papers), Cancer, Hypoxia, and Metabolism (10 papers), Epigenetics and DNA Methylation (7 papers), Protease and Inhibitor Mechanisms (6 papers), Mitochondrial Function and Pathology (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Receptor Mechanisms and Signaling (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (598 citations), Physiology (158 citations), Hematology (280 citations), Molecular Biology (1.8k citations) and Oncology (633 citations). Yingfei Wang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Weibo Luo, Georg Reiser, Valina L. Dawson, Ted M. Dawson, Yijie Wang, Hui Peng, Yan Chen, Lei Bao, Guy G. Poirier and Shaida A. Andrabi. Their work appears in journals such as Journal of Neurochemistry, Nature Communications, Cellular and Molecular Life Sciences, Cancer Research and Journal of Clinical Investigation.
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.