Geng Wang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Intensive Care Unit Cognitive Disorders
Papers in ⓘ
- Oncology 23
- Cancer Immunotherapy and Biomarkers 7
- Cancer Cells and Metastasis 5
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- Anesthesia and Neurotoxicity Research 3
- Co-authors
- Jinghong Li (1 shared paper)Wu Lu (1 shared paper)Da Chen (1 shared paper)Keyu Zhai (1 shared paper)Yan Jin (1 shared paper)Xing Gao (1 shared paper)Na Li (12 shared papers)Yun‐Bo Shi (1 shared paper)
- Journals
- International Immunopharmacology (4 papers)PLoS ONE (4 papers)Cytokine & Growth Factor Reviews (2 papers)Cancer Cell International (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Geng Wang
82 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 136
- Cancer Research 204
- Critical Care and Intensive Care Medicine 63
- Oncology 280
- Developmental Neuroscience 41
- Immunology 164
Countries citing papers authored by Geng Wang
This map shows the geographic impact of Geng 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 Geng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geng Wang more than expected).
Fields of papers citing papers by Geng Wang
This network shows the impact of papers produced by Geng 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 Geng Wang. The network helps show where Geng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Geng 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 119 | |
| 2 | 2008 | 79 | |
| 3 | 2014 | 58 | |
| 4 | 2022 | 51 | |
| 5 | 2019 | 50 | |
| 6 | 2021 | 50 | |
| 7 | 2018 | 50 | |
| 8 | 2018 | 48 | |
| 9 | 1993 | 40 | |
| 10 | 2013 | 38 | |
| 11 | 2013 | 36 | |
| 12 | 2020 | 33 | |
| 13 | 2020 | 28 | |
| 14 | 2020 | 24 | |
| 15 | 2020 | 21 | |
| 16 | 2016 | 21 | |
| 17 | 2022 | 20 | |
| 18 | Type 2 diabetes mellitus and characteristics of breast cancer in China. | 2010 | 20 |
| 19 | 2020 | 20 | |
| 20 | 2018 | 19 |
About Geng Wang
Geng Wang is a scholar working on Oncology, Developmental Neuroscience, Critical Care and Intensive Care Medicine, Complementary and alternative medicine and Cancer Research, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Cancer Cells and Metastasis (5 papers), Immune Cell Function and Interaction (5 papers), Esophageal Cancer Research and Treatment (4 papers), Anesthesia and Neurotoxicity Research (3 papers), Circular RNAs in diseases (3 papers), Histone Deacetylase Inhibitors Research (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Cancer Research (204 citations), Critical Care and Intensive Care Medicine (63 citations), Oncology (280 citations), Developmental Neuroscience (41 citations) and Immunology (164 citations). Geng Wang has collaborated with scholars based in China, United States and India. Frequent co-authors include Jinghong Li, Wu Lu, Da Chen, Keyu Zhai, Yan Jin, Xing Gao, Na Li, Yun‐Bo Shi, Qun Wang and Lisa Staiano‐Coico. Their work appears in journals such as International Immunopharmacology, PLoS ONE, Cytokine & Growth Factor Reviews, Cancer Cell International 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.