Dandan Yan
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
-
- Bone health and osteoporosis research
Papers in
-
- Glycosylation and Glycoproteins Research 5
- Metabolomics and Mass Spectrometry Studies 5
- Genetics 11
- Genetic Associations and Epidemiology 7
- Co-authors
- Cheng Hu (25 shared papers)Weiping Jia (20 shared papers)Baoshan He (3 shared papers)Yuqian Bao (14 shared papers)Yang Zhou (4 shared papers)Haifeng Shi (4 shared papers)Xuhong Hou (6 shared papers)Feng Jiang (10 shared papers)
- Journals
- Cardiovascular Diabetology (4 papers)Scientific Reports (3 papers)Protein Expression and Purification (2 papers)Acta Pharmacologica Sinica (2 papers)Diabetologia (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Dandan Yan
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Nephrology 125
- Orthopedics and Sports Medicine 108
- Endocrinology, Diabetes and Metabolism 112
- Electrochemistry 36
- Molecular Biology 383
Countries citing papers authored by Dandan Yan
This map shows the geographic impact of Dandan Yan'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 Dandan Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dandan Yan more than expected).
Fields of papers citing papers by Dandan Yan
This network shows the impact of papers produced by Dandan Yan. 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 Dandan Yan. The network helps show where Dandan Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dandan Yan, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 90 | |
| 2 | 2019 | 62 | |
| 3 | 2018 | 57 | |
| 4 | 2019 | 56 | |
| 5 | 2015 | 54 | |
| 6 | 2019 | 52 | |
| 7 | 2016 | 48 | |
| 8 | 2017 | 48 | |
| 9 | 2017 | 47 | |
| 10 | 2019 | 40 | |
| 11 | 2016 | 36 | |
| 12 | 2017 | 35 | |
| 13 | 2018 | 33 | |
| 14 | 2021 | 26 | |
| 15 | 2017 | 26 | |
| 16 | 2015 | 25 | |
| 17 | 2018 | 23 | |
| 18 | 2016 | 20 | |
| 19 | 2016 | 20 | |
| 20 | 2017 | 19 |
About Dandan Yan
Dandan Yan is a scholar working on Molecular Biology, Genetics, Surgery, Electrical and Electronic Engineering and Endocrinology, Diabetes and Metabolism, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Pancreatic function and diabetes (5 papers), Glycosylation and Glycoproteins Research (5 papers), Gout, Hyperuricemia, Uric Acid (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Bone health and osteoporosis research (4 papers), Alcohol Consumption and Health Effects (4 papers) and Antenna Design and Analysis (3 papers). The work is most often cited by research in Nephrology (125 citations), Orthopedics and Sports Medicine (108 citations), Endocrinology, Diabetes and Metabolism (112 citations), Electrochemistry (36 citations) and Molecular Biology (383 citations). Dandan Yan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Cheng Hu, Weiping Jia, Baoshan He, Yuqian Bao, Yang Zhou, Haifeng Shi, Xuhong Hou, Feng Jiang, Zhenlin Zhang and Danfeng Peng. Their work appears in journals such as Cardiovascular Diabetology, Scientific Reports, Protein Expression and Purification, Acta Pharmacologica Sinica and Diabetologia.
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.