Wei Hong
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
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- Air Quality and Health Impacts
Papers in ⓘ
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- RNA modifications and cancer 6
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- Cancer-related molecular mechanisms research 9
- Co-authors
- Pixin Ran (17 shared papers)Bing Li (13 shared papers)Yumin Zhou (10 shared papers)Chunxiao Liang (8 shared papers)Gongyong Peng (12 shared papers)Pallavi Chaturvedi (1 shared paper)Weibo Luo (1 shared paper)Naoharu Takano (1 shared paper)
- Journals
- LWT (3 papers)Respiratory Research (2 papers)Journal of Cellular and Molecular Medicine (2 papers)Scientific Reports (1 paper)Cell Death Discovery (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Wei Hong
37 papers receiving 811 citations
Peers
Comparison fields: 5 of 101
- Cancer Research 235
- Health, Toxicology and Mutagenesis 107
- Molecular Biology 393
- Pulmonary and Respiratory Medicine 158
- Genetics 50
Countries citing papers authored by Wei Hong
This map shows the geographic impact of Wei Hong'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 Wei Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Hong more than expected).
Fields of papers citing papers by Wei Hong
This network shows the impact of papers produced by Wei Hong. 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 Wei Hong. The network helps show where Wei Hong may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Hong, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 161 | |
| 2 | 2021 | 52 | |
| 3 | 2021 | 52 | |
| 4 | 2018 | 45 | |
| 5 | 2020 | 42 | |
| 6 | 2019 | 37 | |
| 7 | 2017 | 37 | |
| 8 | 2021 | 37 | |
| 9 | 2020 | 36 | |
| 10 | 2021 | 31 | |
| 11 | 2023 | 30 | |
| 12 | 2019 | 25 | |
| 13 | 2018 | 23 | |
| 14 | 2017 | 20 | |
| 15 | 2022 | 19 | |
| 16 | 2021 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2024 | 15 | |
| 19 | 2019 | 15 | |
| 20 | 2021 | 14 |
About Wei Hong
Wei Hong is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis and Food Science, having authored 43 papers that have together received 815 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (6 papers), Pulmonary Hypertension Research and Treatments (5 papers), Air Quality and Health Impacts (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Biosensors and Analytical Detection (3 papers), Vibrio bacteria research studies (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). The work is most often cited by research in Cancer Research (235 citations), Health, Toxicology and Mutagenesis (107 citations), Molecular Biology (393 citations), Pulmonary and Respiratory Medicine (158 citations) and Genetics (50 citations). Wei Hong has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Pixin Ran, Bing Li, Yumin Zhou, Chunxiao Liang, Gongyong Peng, Pallavi Chaturvedi, Weibo Luo, Naoharu Takano, Daniele M. Gilkes and Andre Levchenko. Their work appears in journals such as LWT, Respiratory Research, Journal of Cellular and Molecular Medicine, Scientific Reports and Cell Death Discovery.
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.