Cong Wang
Impact in
- Developmental Neuroscience top 10%
- Cancer Research top 10%
Papers in
-
- Advanced biosensing and bioanalysis techniques 5
- Immunology 16
- Immune cells in cancer 6
- Co-authors
- Cong Li (15 shared papers)Yingmei Zhang (3 shared papers)Jun Ren (3 shared papers)Zhilong Ai (4 shared papers)Junbo Ge (8 shared papers)Jiekun Luo (2 shared papers)Tao Tang (2 shared papers)Ali Yang (2 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (4 papers)Aerospace Science and Technology (4 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (3 papers)Oncotarget (3 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Cong Wang
136 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 159
- Developmental Neuroscience 49
- Cancer Research 162
- Molecular Biology 749
- Neurology 84
- Critical Care and Intensive Care Medicine 46
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 146 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 88 | |
| 2 | 2018 | 81 | |
| 3 | 2023 | 78 | |
| 4 | 2023 | 72 | |
| 5 | 2015 | 70 | |
| 6 | 2020 | 68 | |
| 7 | 2016 | 68 | |
| 8 | 2015 | 59 | |
| 9 | 2008 | 56 | |
| 10 | 2017 | 56 | |
| 11 | 2011 | 54 | |
| 12 | 2015 | 53 | |
| 13 | 2019 | 51 | |
| 14 | 2022 | 44 | |
| 15 | 2015 | 40 | |
| 16 | 2016 | 40 | |
| 17 | 2020 | 39 | |
| 18 | 2020 | 38 | |
| 19 | 2021 | 37 | |
| 20 | 2019 | 36 |
About Cong Wang
Cong Wang is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 146 papers that have together received 2.4k indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), Immune cells in cancer (6 papers), Gold and Silver Nanoparticles Synthesis and Applications (6 papers), Gastric Cancer Management and Outcomes (5 papers), Cancer-related molecular mechanisms research (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Turbomachinery Performance and Optimization (5 papers) and Nanoplatforms for cancer theranostics (5 papers). The work is most often cited by research in Developmental Neuroscience (49 citations), Cancer Research (162 citations), Molecular Biology (749 citations), Neurology (84 citations) and Critical Care and Intensive Care Medicine (46 citations). Cong Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Cong Li, Yingmei Zhang, Jun Ren, Zhilong Ai, Junbo Ge, Jiekun Luo, Tao Tang, Ali Yang, Hanjin Cui and Hua-Jun Zhou. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Aerospace Science and Technology, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Oncotarget and PLoS ONE.
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.