Chengkun Wang
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- CRISPR and Genetic Engineering 6
- Ubiquitin and proteasome pathways 4
- Oncology 15
- Drug Transport and Resistance Mechanisms 4
- Viral-associated cancers and disorders 4
- Co-authors
- Feng Han (19 shared papers)Zhimin He (12 shared papers)Ying‐Mei Lu (13 shared papers)Chao Tan (7 shared papers)Nannan Lu (6 shared papers)Yitong Liu (2 shared papers)Kohji Fukunaga (9 shared papers)Guopei Zheng (8 shared papers)
- Journals
- Molecular and Cellular Biochemistry (3 papers)Theranostics (3 papers)Molecular Psychiatry (2 papers)Oncotarget (2 papers)Cancer Cell International (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Chengkun Wang
58 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 116
- Neurology 118
- Cancer Research 161
- Molecular Biology 592
- Oncology 203
- Complementary and alternative medicine 55
Countries citing papers authored by Chengkun Wang
This map shows the geographic impact of Chengkun 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 Chengkun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengkun Wang more than expected).
Fields of papers citing papers by Chengkun Wang
This network shows the impact of papers produced by Chengkun 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 Chengkun Wang. The network helps show where Chengkun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chengkun 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 95 | |
| 2 | 2015 | 94 | |
| 3 | 2011 | 70 | |
| 4 | 2021 | 69 | |
| 5 | 2018 | 58 | |
| 6 | 2008 | 58 | |
| 7 | 2010 | 56 | |
| 8 | 2022 | 56 | |
| 9 | 2023 | 53 | |
| 10 | 2017 | 51 | |
| 11 | 2015 | 46 | |
| 12 | 2015 | 38 | |
| 13 | 2017 | 37 | |
| 14 | 2010 | 36 | |
| 15 | 2015 | 34 | |
| 16 | 2020 | 28 | |
| 17 | 2017 | 26 | |
| 18 | 2018 | 25 | |
| 19 | 2023 | 24 | |
| 20 | 2012 | 23 |
About Chengkun Wang
Chengkun Wang is a scholar working on Molecular Biology, Oncology, Immunology, Neurology and Electrical and Electronic Engineering, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Ubiquitin and proteasome pathways (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Viral-associated cancers and disorders (4 papers), Cancer-related molecular mechanisms research (3 papers), Cell Adhesion Molecules Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Neurology (118 citations), Cancer Research (161 citations), Molecular Biology (592 citations), Oncology (203 citations) and Complementary and alternative medicine (55 citations). Chengkun Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Feng Han, Zhimin He, Ying‐Mei Lu, Chao Tan, Nannan Lu, Yitong Liu, Kohji Fukunaga, Guopei Zheng, Quan Jiang and Runliang Gan. Their work appears in journals such as Molecular and Cellular Biochemistry, Theranostics, Molecular Psychiatry, Oncotarget and Cancer Cell International.
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.