Cong Huang
Impact in
- Molecular Medicine top 2%
- Curcumin's Biomedical Applications
- Cognitive Neuroscience top 2%
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
Papers in
-
- Research in Cotton Cultivation 12
- Co-authors
- Rajita Sinha (4 shared papers)Chiang‐Shan R. Li (4 shared papers)R. Todd Constable (3 shared papers)Haruki Momma (24 shared papers)Ryoichi Nagatomi (24 shared papers)Chunfeng Xie (15 shared papers)Caiyun Zhong (15 shared papers)Shanshan Geng (15 shared papers)
- Journals
- PLoS ONE (6 papers)Phytotherapy Research (4 papers)Journal of Epidemiology (4 papers)Nutrition Metabolism and Cardiovascular Diseases (4 papers)Applied Mathematics and Computation (4 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Cong Huang
154 papers receiving 4.6k citations
Cong Huang's Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Medicine 205
- Cognitive Neuroscience 670
- Cancer Research 373
- Biological Psychiatry 61
- Endocrinology 108
Countries citing papers authored by Cong Huang
This map shows the geographic impact of Cong Huang'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 Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Huang more than expected).
Fields of papers citing papers by Cong Huang
This network shows the impact of papers produced by Cong Huang. 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 Huang. The network helps show where Cong Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Huang, 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 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 472 | |
| 2 | The Association Between the Gut Microbiota and Parkinson's Disease, a Meta-Analysis Hit paper breakdown → | 2021 | 178 |
| 3 | 2014 | 173 | |
| 4 | 2006 | 164 | |
| 5 | 2007 | 146 | |
| 6 | 2017 | 142 | |
| 7 | 2017 | 138 | |
| 8 | 2008 | 135 | |
| 9 | 2019 | 94 | |
| 10 | 2016 | 82 | |
| 11 | 2016 | 80 | |
| 12 | 2016 | 78 | |
| 13 | 2017 | 76 | |
| 14 | 2015 | 75 | |
| 15 | 2006 | 73 | |
| 16 | 2017 | 62 | |
| 17 | 2019 | 62 | |
| 18 | 2014 | 58 | |
| 19 | 2019 | 56 | |
| 20 | 2015 | 56 |
About Cong Huang
Cong Huang is a scholar working on Molecular Biology, Plant Science, Cancer Research, Cardiology and Cardiovascular Medicine and Computational Mechanics, having authored 163 papers that have together received 4.6k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (12 papers), Computational Fluid Dynamics and Aerodynamics (10 papers), MicroRNA in disease regulation (9 papers), Fluid Dynamics and Turbulent Flows (6 papers), Genetic and phenotypic traits in livestock (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Meat and Animal Product Quality (5 papers) and Curcumin's Biomedical Applications (5 papers). The work is most often cited by research in Molecular Medicine (205 citations), Cognitive Neuroscience (670 citations), Cancer Research (373 citations), Biological Psychiatry (61 citations) and Endocrinology (108 citations). Cong Huang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Rajita Sinha, Chiang‐Shan R. Li, R. Todd Constable, Haruki Momma, Ryoichi Nagatomi, Chunfeng Xie, Caiyun Zhong, Shanshan Geng, Jieshu Wu and Mingming Zhu. Their work appears in journals such as PLoS ONE, Phytotherapy Research, Journal of Epidemiology, Nutrition Metabolism and Cardiovascular Diseases and Applied Mathematics and Computation.
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.