Dan Nie
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
-
- Epigenetics and DNA Methylation 4
- Cancer-related gene regulation 3
- Ion channel regulation and function 3
- Oncology 7
- Inflammatory Biomarkers in Disease Prognosis 3
- Co-authors
- Yue Hu (5 shared papers)Xiaoyan Xue (5 shared papers)Mingkai Li (5 shared papers)Zheng Hou (4 shared papers)Zhengyu Li (7 shared papers)Chen Zhou (2 shared papers)Xinggang Mao (3 shared papers)Xiaoxing Luo (3 shared papers)
In The Last Decade
Dan Nie
48 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 110
- Molecular Medicine 123
- Endocrinology 71
- Obstetrics and Gynecology 71
- Hepatology 63
- Reproductive Medicine 62
Countries citing papers authored by Dan Nie
This map shows the geographic impact of Dan Nie'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 Dan Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Nie more than expected).
Fields of papers citing papers by Dan Nie
This network shows the impact of papers produced by Dan Nie. 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 Dan Nie. The network helps show where Dan Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Nie, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 236 | |
| 2 | 2013 | 100 | |
| 3 | 2013 | 96 | |
| 4 | 2018 | 69 | |
| 5 | 2020 | 43 | |
| 6 | 2013 | 28 | |
| 7 | 2016 | 27 | |
| 8 | 2015 | 26 | |
| 9 | 2015 | 25 | |
| 10 | 2019 | 24 | |
| 11 | 2019 | 22 | |
| 12 | 2020 | 22 | |
| 13 | 2023 | 20 | |
| 14 | 2018 | 19 | |
| 15 | 2020 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2023 | 16 | |
| 18 | 2021 | 15 | |
| 19 | 2022 | 15 | |
| 20 | 2023 | 14 |
About Dan Nie
Dan Nie is a scholar working on Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine, Cancer Research and Obstetrics and Gynecology, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Heart Failure Treatment and Management (3 papers), Cancer-related gene regulation (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Ion channel regulation and function (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Molecular Medicine (123 citations), Endocrinology (71 citations), Obstetrics and Gynecology (71 citations), Hepatology (63 citations) and Reproductive Medicine (62 citations). Dan Nie has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Yue Hu, Xiaoyan Xue, Mingkai Li, Zheng Hou, Zhengyu Li, Chen Zhou, Xinggang Mao, Xiaoxing Luo, Ni Tang and Ailong Huang. Their work appears in journals such as Archives of Gynecology and Obstetrics, International Journal of Gynecological Cancer, Journal of Cancer, Oncotarget and Advanced Science.
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.