Weifeng Tang
Impact in
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- Regulation of Appetite and Obesity
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- RNA modifications and cancer 21
- Peroxisome Proliferator-Activated Receptors 11
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- Cancer-related molecular mechanisms research 15
- MicroRNA in disease regulation 11
- Co-authors
- Haiyong Gu (41 shared papers)Hao Qiu (28 shared papers)Yafeng Wang (36 shared papers)Jun Yin (32 shared papers)Shuchen Chen (30 shared papers)Jingcheng Dong (18 shared papers)Ying Wei (18 shared papers)Jun Zhang (10 shared papers)
- Journals
- Oncotarget (15 papers)Bioscience Reports (10 papers)PLoS ONE (8 papers)OncoTargets and Therapy (7 papers)DNA and Cell Biology (7 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Weifeng Tang
168 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 121
- Endocrine and Autonomic Systems 237
- Cancer Research 489
- Immunology 362
- Oncology 395
- Health, Toxicology and Mutagenesis 184
Countries citing papers authored by Weifeng Tang
This map shows the geographic impact of Weifeng Tang'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 Weifeng Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weifeng Tang more than expected).
Fields of papers citing papers by Weifeng Tang
This network shows the impact of papers produced by Weifeng Tang. 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 Weifeng Tang. The network helps show where Weifeng Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weifeng Tang, 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 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 191 | |
| 2 | 2020 | 73 | |
| 3 | 2013 | 66 | |
| 4 | 2020 | 62 | |
| 5 | 2013 | 59 | |
| 6 | 2020 | 57 | |
| 7 | 2022 | 56 | |
| 8 | 2015 | 55 | |
| 9 | 2022 | 49 | |
| 10 | 2013 | 47 | |
| 11 | 2021 | 47 | |
| 12 | 2020 | 42 | |
| 13 | 2013 | 40 | |
| 14 | 2022 | 38 | |
| 15 | 2021 | 37 | |
| 16 | 2014 | 36 | |
| 17 | Programmed death-1 (PD-1) polymorphism is associated with gastric cardia adenocarcinoma. | 2015 | 32 |
| 18 | 2023 | 32 | |
| 19 | 2013 | 31 | |
| 20 | 2015 | 31 |
About Weifeng Tang
Weifeng Tang is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Pulmonary and Respiratory Medicine, having authored 171 papers that have together received 2.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (21 papers), Cancer-related molecular mechanisms research (15 papers), IL-33, ST2, and ILC Pathways (13 papers), Esophageal Cancer Research and Treatment (12 papers), Peroxisome Proliferator-Activated Receptors (11 papers), Folate and B Vitamins Research (11 papers), Cancer Immunotherapy and Biomarkers (11 papers) and MicroRNA in disease regulation (11 papers). The work is most often cited by research in Endocrine and Autonomic Systems (237 citations), Cancer Research (489 citations), Immunology (362 citations), Oncology (395 citations) and Health, Toxicology and Mutagenesis (184 citations). Weifeng Tang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Haiyong Gu, Hao Qiu, Yafeng Wang, Jun Yin, Shuchen Chen, Jingcheng Dong, Ying Wei, Jun Zhang, Fangzhou Teng and La Yi. Their work appears in journals such as Oncotarget, Bioscience Reports, PLoS ONE, OncoTargets and Therapy and DNA and Cell Biology.
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.