Cong Wang
Impact in
- Developmental Neuroscience top 10%
- Cancer Research top 10%
Papers in ⓘ
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- Advanced biosensing and bioanalysis techniques 6
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- Cardiovascular Function and Risk Factors 6
- Co-authors
- Yingmei Zhang (3 shared papers)Cong Li (15 shared papers)Jun Ren (3 shared papers)Zhilong Ai (4 shared papers)Junbo Ge (8 shared papers)Tao Tang (2 shared papers)Jiekun Luo (2 shared papers)Ali Yang (2 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (4 papers)Aerospace Science and Technology (3 papers)Oncotarget (3 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (3 papers)EBioMedicine (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Cong Wang
132 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 155
- Developmental Neuroscience 65
- Cancer Research 204
- Neurology 100
- Molecular Biology 829
- Immunology 233
Countries citing papers authored by Cong Wang
This map shows the geographic impact of Cong 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 Cong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Wang more than expected).
Fields of papers citing papers by Cong Wang
This network shows the impact of papers produced by Cong 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 Cong Wang. The network helps show where Cong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong 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 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 85 | |
| 2 | 2018 | 81 | |
| 3 | 2023 | 66 | |
| 4 | 2016 | 66 | |
| 5 | 2015 | 66 | |
| 6 | 2023 | 65 | |
| 7 | 2020 | 65 | |
| 8 | 2015 | 59 | |
| 9 | 2017 | 56 | |
| 10 | 2008 | 56 | |
| 11 | 2011 | 54 | |
| 12 | 2015 | 53 | |
| 13 | 2019 | 51 | |
| 14 | 2015 | 40 | |
| 15 | 2016 | 39 | |
| 16 | 2022 | 39 | |
| 17 | 2020 | 38 | |
| 18 | 2020 | 37 | |
| 19 | 2014 | 36 | |
| 20 | 2021 | 35 |
About Cong Wang
Cong Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Cancer Research and Oncology, having authored 142 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Immune cells in cancer (6 papers), Gold and Silver Nanoparticles Synthesis and Applications (6 papers), Cardiovascular Function and Risk Factors (6 papers), Nanoplatforms for cancer theranostics (6 papers) and Turbomachinery Performance and Optimization (5 papers). The work is most often cited by research in Developmental Neuroscience (65 citations), Cancer Research (204 citations), Neurology (100 citations), Molecular Biology (829 citations) and Immunology (233 citations). Cong Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yingmei Zhang, Cong Li, Jun Ren, Zhilong Ai, Junbo Ge, Tao Tang, Jiekun Luo, Ali Yang, Hua-Jun Zhou and Hanjin Cui. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Aerospace Science and Technology, Oncotarget, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and EBioMedicine.
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.