Cong Du
Impact in
- Hepatology top 10%
- Liver physiology and pathology
-
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 3
- Pluripotent Stem Cells Research 2
- Circular RNAs in diseases 2
-
- Thyroid Disorders and Treatments 5
- Co-authors
- Dongbo Qiu (9 shared papers)Qi Zhang (10 shared papers)Andy Peng Xiang (5 shared papers)Mao Pang (4 shared papers)Yuan Feng (2 shared papers)Yan Xu (5 shared papers)Nan Cai (3 shared papers)Limin Rong (3 shared papers)
- Journals
- Stem Cell Research & Therapy (2 papers)Journal of Trace Elements in Medicine and Biology (2 papers)Cell Death and Disease (2 papers)Biochemical and Biophysical Research Communications (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Cong Du
26 papers receiving 894 citations
Peers
Comparison fields: 5 of 99
- Hepatology 92
- Cancer Research 121
- Genetics 82
- Endocrinology, Diabetes and Metabolism 92
- Pathology and Forensic Medicine 94
Countries citing papers authored by Cong Du
This map shows the geographic impact of Cong Du'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 Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Du more than expected).
Fields of papers citing papers by Cong Du
This network shows the impact of papers produced by Cong Du. 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 Du. The network helps show where Cong Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Du, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 112 | |
| 2 | 2023 | 97 | |
| 3 | 2021 | 82 | |
| 4 | 2018 | 73 | |
| 5 | 2020 | 69 | |
| 6 | 2020 | 58 | |
| 7 | 2015 | 53 | |
| 8 | 2022 | 41 | |
| 9 | 2020 | 39 | |
| 10 | 2020 | 30 | |
| 11 | 2021 | 27 | |
| 12 | 2018 | 26 | |
| 13 | 2021 | 22 | |
| 14 | 2023 | 20 | |
| 15 | 2019 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2019 | 18 | |
| 18 | 2018 | 16 | |
| 19 | 2016 | 15 | |
| 20 | 2018 | 14 |
About Cong Du
Cong Du is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Immunology, Genetics and Pathology and Forensic Medicine, having authored 26 papers that have together received 899 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (5 papers), Mesenchymal stem cell research (3 papers), RNA modifications and cancer (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Pluripotent Stem Cells Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Circular RNAs in diseases (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Hepatology (92 citations), Cancer Research (121 citations), Genetics (82 citations), Endocrinology, Diabetes and Metabolism (92 citations) and Pathology and Forensic Medicine (94 citations). Cong Du has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Dongbo Qiu, Qi Zhang, Andy Peng Xiang, Mao Pang, Yuan Feng, Yan Xu, Nan Cai, Limin Rong, Qiuli Liu and Wanqi Zhang. Their work appears in journals such as Stem Cell Research & Therapy, Journal of Trace Elements in Medicine and Biology, Cell Death and Disease, Biochemical and Biophysical Research Communications and Journal of Hepatology.
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.