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)Kohji Fukunaga (9 shared papers)Guopei Zheng (8 shared papers)Yitong Liu (2 shared papers)
- Journals
- Theranostics (3 papers)Molecular and Cellular Biochemistry (3 papers)Chemical Communications (2 papers)Frontiers in Plant Science (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Chengkun Wang
55 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 113
- Neurology 126
- Cancer Research 184
- Molecular Biology 615
- Oncology 220
- Business and International Management 15
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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 93 | |
| 2 | 2019 | 88 | |
| 3 | 2011 | 68 | |
| 4 | 2021 | 61 | |
| 5 | 2008 | 56 | |
| 6 | 2010 | 56 | |
| 7 | 2022 | 52 | |
| 8 | 2017 | 51 | |
| 9 | 2023 | 48 | |
| 10 | 2018 | 45 | |
| 11 | 2015 | 45 | |
| 12 | 2017 | 37 | |
| 13 | 2010 | 36 | |
| 14 | 2015 | 36 | |
| 15 | 2015 | 34 | |
| 16 | 2017 | 26 | |
| 17 | 2018 | 25 | |
| 18 | 2020 | 25 | |
| 19 | 2023 | 21 | |
| 20 | 2019 | 20 |
About Chengkun Wang
Chengkun Wang is a scholar working on Molecular Biology, Oncology, Immunology, Electrical and Electronic Engineering and Cancer Research, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Drug Transport and Resistance Mechanisms (4 papers), Viral-associated cancers and disorders (4 papers), Ubiquitin and proteasome pathways (4 papers), Advanced Wireless Communication Techniques (3 papers), Cell Adhesion Molecules Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Neurology (126 citations), Cancer Research (184 citations), Molecular Biology (615 citations), Oncology (220 citations) and Business and International Management (15 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, Kohji Fukunaga, Guopei Zheng, Yitong Liu, Quan Jiang and Rongrong Tao. Their work appears in journals such as Theranostics, Molecular and Cellular Biochemistry, Chemical Communications, Frontiers in Plant Science 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.