Chong Wang
Impact in
- Molecular Biology top 0.5%
- RNA Interference and Gene Delivery
- Receptor Mechanisms and Signaling
- CRISPR and Genetic Engineering
- Immunology top 2%
- Immunotherapy and Immune Responses
Papers in
-
- MicroRNA in disease regulation 22
- Cancer-related molecular mechanisms research 16
-
- RNA Research and Splicing 19
- RNA modifications and cancer 16
- Circular RNAs in diseases 16
- Muscle Physiology and Disorders 13
- RNA and protein synthesis mechanisms 11
- Co-authors
- Gyula AcsádiJon A. WolffÁgnes JániPhilip L. FelgnerPhillip WilliamsRobert W. MaloneVadim CherezovVsevolod Katritch
- Journals
- Biochemical and Biophysical Research Communications (5 papers)PLoS ONE (5 papers)Scientific Reports (5 papers)Science (3 papers)Frontiers in Pharmacology (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Chong Wang
254 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Molecular Biology 6.2k
- Immunology 1.5k
- Cancer Research 931
- Genetics 1.7k
- Infectious Diseases 1.1k
Countries citing papers authored by Chong Wang
This map shows the geographic impact of Chong 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 Chong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong Wang more than expected).
Fields of papers citing papers by Chong Wang
This network shows the impact of papers produced by Chong 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 Chong Wang. The network helps show where Chong Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 11 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2017 | 1 | |
| 14 | 2016 | 78 | |
| 15 | 2015 | 1 | |
| 16 | 2014 | 6 | |
| 17 | Structural Features for Functional Selectivity at Serotonin Receptors Hit paper breakdown → | 2013 | 543 |
| 18 | 2010 | 49 | |
| 19 | Inhibition of emodin on xenografted human K562 cells in nude mice and regulation on relationship of Caspase-3 and Caspase-9 expression. | 2010 | 1 |
| 20 | Clinical observation of tribendimidine enteric-coated tablets in the treatment of patients with intestinal nematodiasis. | 2009 | 1 |
About Chong Wang
Chong Wang is a scholar working on Cancer Research, Molecular Biology, Reproductive Medicine, Immunology and Urology, having authored 271 papers that have together received 10.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (22 papers), RNA Research and Splicing (19 papers), RNA modifications and cancer (16 papers), Cancer-related molecular mechanisms research (16 papers), Circular RNAs in diseases (16 papers), Muscle Physiology and Disorders (13 papers), RNA and protein synthesis mechanisms (11 papers) and Hepatitis B Virus Studies (10 papers). The work is most often cited by research in Molecular Biology (6.2k citations), Immunology (1.5k citations), Cancer Research (931 citations), Genetics (1.7k citations) and Infectious Diseases (1.1k citations). Chong Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Gyula Acsádi, Jon A. Wolff, Ágnes Jáni, Philip L. Felgner, Phillip Williams, Robert W. Malone, Vadim Cherezov, Vsevolod Katritch, Gye Won Han and Raymond C. Stevens. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, Scientific Reports, Science and Frontiers in Pharmacology.
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.