Dan Jiang
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Long-Term Effects of COVID-19
Papers in
-
- Ovarian function and disorders 5
- Endometriosis Research and Treatment 1
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- Acupuncture Treatment Research Studies 3
- Complementary and Alternative Medicine Studies 3
- Co-authors
- Lei Gao (4 shared papers)Xuesong Wen (3 shared papers)Xiao‐Wei Tan (2 shared papers)Bin He (2 shared papers)Lei Peng (2 shared papers)Dongying Zhang (3 shared papers)Xiaocheng Cheng (3 shared papers)Shu Qin (3 shared papers)
- Journals
- Aging (2 papers)International review of neurobiology (2 papers)BMC Cardiovascular Disorders (1 paper)PLoS ONE (1 paper)Frontiers in Public Health (1 paper)
- Partner nations
- ChinaUnited KingdomItaly
In The Last Decade
Dan Jiang
19 papers receiving 383 citations
Peers
Comparison fields: 5 of 71
- Infectious Diseases 163
- Neurology 74
- Reproductive Medicine 34
- Complementary and alternative medicine 20
- Cardiology and Cardiovascular Medicine 39
Countries citing papers authored by Dan Jiang
This map shows the geographic impact of Dan Jiang'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 Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Jiang more than expected).
Fields of papers citing papers by Dan Jiang
This network shows the impact of papers produced by Dan Jiang. 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 Jiang. The network helps show where Dan Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Jiang, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 197 | |
| 2 | 2017 | 49 | |
| 3 | 2021 | 25 | |
| 4 | 2020 | 16 | |
| 5 | 2019 | 14 | |
| 6 | 2017 | 14 | |
| 7 | 2019 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 8 | |
| 10 | 2020 | 8 | |
| 11 | 2012 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2023 | 4 | |
| 14 | 2017 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2021 | 1 | |
| 19 | Protect effects of astragalus on traumatic vascular endothelial cells as a result of high gluose | 2007 | 1 |
| 20 | 2022 | 0 |
About Dan Jiang
Dan Jiang is a scholar working on Reproductive Medicine, Complementary and alternative medicine, Infectious Diseases, Pharmacology and Neurology, having authored 23 papers that have together received 389 indexed citations. Recurring topics across this work include Ovarian function and disorders (5 papers), Acupuncture Treatment Research Studies (3 papers), Complementary and Alternative Medicine Studies (3 papers), COVID-19 Clinical Research Studies (3 papers), Reproductive System and Pregnancy (2 papers), Healthcare and Venom Research (2 papers), Long-Term Effects of COVID-19 (2 papers) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Infectious Diseases (163 citations), Neurology (74 citations), Reproductive Medicine (34 citations), Complementary and alternative medicine (20 citations) and Cardiology and Cardiovascular Medicine (39 citations). Dan Jiang has collaborated with scholars based in China, United Kingdom and Italy. Frequent co-authors include Lei Gao, Xuesong Wen, Xiao‐Wei Tan, Bin He, Lei Peng, Dongying Zhang, Xiaocheng Cheng, Shu Qin, Linna You and Guoqiang Cai. Their work appears in journals such as Aging, International review of neurobiology, BMC Cardiovascular Disorders, PLoS ONE and Frontiers in Public Health.
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.