Chunli Wei
Impact in
- Toxicology top 2%
- Bioactive Compounds and Antitumor Agents
-
- Nigella sativa pharmacological applications
Papers in
-
- Retinal Development and Disorders 9
- Genomics and Phylogenetic Studies 6
- RNA modifications and cancer 6
- Genetics 18
- Genetic diversity and population structure 7
- Co-authors
- Junjiang Fu (59 shared papers)Jingliang Cheng (48 shared papers)Md. Asaduzzaman Khan (24 shared papers)Hanchun Chen (16 shared papers)Jiewen Fu (19 shared papers)Saber İmani (9 shared papers)Zhiqiang Mei (12 shared papers)Mousumi Tania (5 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (6 papers)Molecules (5 papers)Molecular Biology Reports (5 papers)Frontiers in Immunology (4 papers)Oncotarget (4 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Chunli Wei
71 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 121
- Toxicology 109
- Complementary and alternative medicine 211
- Cancer Research 222
- Molecular Biology 790
- Oncology 273
Countries citing papers authored by Chunli Wei
This map shows the geographic impact of Chunli Wei'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 Chunli Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunli Wei more than expected).
Fields of papers citing papers by Chunli Wei
This network shows the impact of papers produced by Chunli Wei. 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 Chunli Wei. The network helps show where Chunli Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunli Wei, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 142 | |
| 2 | 2015 | 114 | |
| 3 | 2017 | 96 | |
| 4 | 2016 | 87 | |
| 5 | 2019 | 83 | |
| 6 | 2016 | 68 | |
| 7 | 2017 | 55 | |
| 8 | 2017 | 45 | |
| 9 | 2017 | 37 | |
| 10 | 2017 | 35 | |
| 11 | 2014 | 35 | |
| 12 | 2022 | 32 | |
| 13 | 2021 | 32 | |
| 14 | 2023 | 31 | |
| 15 | 2020 | 31 | |
| 16 | 2021 | 31 | |
| 17 | 2021 | 25 | |
| 18 | 2017 | 25 | |
| 19 | 2014 | 24 | |
| 20 | 2022 | 23 |
About Chunli Wei
Chunli Wei is a scholar working on Molecular Biology, Genetics, Complementary and alternative medicine, Pharmacology and Oncology, having authored 78 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nigella sativa pharmacological applications (9 papers), Retinal Development and Disorders (9 papers), Bioactive Compounds and Antitumor Agents (7 papers), Genetic diversity and population structure (7 papers), Genomics and Phylogenetic Studies (6 papers), RNA modifications and cancer (6 papers), Plant Pathogens and Fungal Diseases (5 papers) and Antibiotic Resistance in Bacteria (5 papers). The work is most often cited by research in Toxicology (109 citations), Complementary and alternative medicine (211 citations), Cancer Research (222 citations), Molecular Biology (790 citations) and Oncology (273 citations). Chunli Wei has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Junjiang Fu, Jingliang Cheng, Md. Asaduzzaman Khan, Hanchun Chen, Jiewen Fu, Saber İmani, Zhiqiang Mei, Mousumi Tania, Shangyi Fu and Lianmei Zhang. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Molecules, Molecular Biology Reports, Frontiers in Immunology 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.