Cong Huai
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
Papers in
-
- CRISPR and Genetic Engineering 4
- Receptor Mechanisms and Signaling 2
- Genetics 10
- Genetic Associations and Epidemiology 4
- Genomics and Rare Diseases 3
- Co-authors
- Shengying Qin (19 shared papers)Lu Shen (12 shared papers)Mo Li (12 shared papers)Lin He (9 shared papers)Na Zhang (6 shared papers)Mingzhe Zhao (5 shared papers)Yingtian Zhang (3 shared papers)Bixuan Jiang (2 shared papers)
- Journals
- Frontiers in Pharmacology (4 papers)Translational Psychiatry (2 papers)Carcinogenesis (2 papers)Scientific Reports (2 papers)Journal of the Neurological Sciences (1 paper)
- Partner nations
- ChinaThailandSouth Korea
In The Last Decade
Cong Huai
30 papers receiving 1.1k citations
Cong Huai's Hit Papers
Peers
Comparison fields: 5 of 116
- Pharmacology 259
- Business and International Management 29
- Molecular Biology 486
- Aging 12
- Biological Psychiatry 15
Countries citing papers authored by Cong Huai
This map shows the geographic impact of Cong Huai'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 Huai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Huai more than expected).
Fields of papers citing papers by Cong Huai
This network shows the impact of papers produced by Cong Huai. 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 Huai. The network helps show where Cong Huai may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Huai, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cytochrome P450 Enzymes and Drug Metabolism in Humans Hit paper breakdown → | 2021 | 623 |
| 2 | 2017 | 121 | |
| 3 | 2017 | 62 | |
| 4 | 2017 | 30 | |
| 5 | 2017 | 29 | |
| 6 | 2014 | 27 | |
| 7 | 2012 | 21 | |
| 8 | 2019 | 19 | |
| 9 | 2019 | 19 | |
| 10 | 2022 | 18 | |
| 11 | 2023 | 17 | |
| 12 | 2020 | 17 | |
| 13 | 2020 | 15 | |
| 14 | 2013 | 14 | |
| 15 | 2019 | 12 | |
| 16 | 2021 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2015 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2021 | 8 |
About Cong Huai
Cong Huai is a scholar working on Molecular Biology, Genetics, Oncology, Pharmacology and Cancer Research, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), CRISPR and Genetic Engineering (4 papers), Genetic Associations and Epidemiology (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Genomics and Rare Diseases (3 papers), Schizophrenia research and treatment (3 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Pharmacology (259 citations), Business and International Management (29 citations), Molecular Biology (486 citations), Aging (12 citations) and Biological Psychiatry (15 citations). Cong Huai has collaborated with scholars based in China, Thailand and South Korea. Frequent co-authors include Shengying Qin, Lu Shen, Mo Li, Lin He, Na Zhang, Mingzhe Zhao, Yingtian Zhang, Bixuan Jiang, Xianglong Zhao and Jingsong Ma. Their work appears in journals such as Frontiers in Pharmacology, Translational Psychiatry, Carcinogenesis, Scientific Reports and Journal of the Neurological Sciences.
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.