Yan Hang
Impact in
-
- Diabetes Management and Research
- Diabetes Treatment and Management
- Genetics top 2%
- Diabetes and associated disorders
- Genetics and Neurodevelopmental Disorders
Papers in
- Co-authors
- Roland Stein (9 shared papers)Isabella Artner (4 shared papers)Seung K. Kim (11 shared papers)Min Guo (3 shared papers)Alvin C. Powers (4 shared papers)Tsunehiko Yamamoto (2 shared papers)Mark A. Magnuson (2 shared papers)Eva Henderson (2 shared papers)
- Journals
- Diabetes (6 papers)Journal of Endocrinology (2 papers)Cancer (1 paper)Cell Metabolism (1 paper)Trends in Endocrinology and Metabolism (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Yan Hang
24 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 89
- Endocrinology, Diabetes and Metabolism 517
- Genetics 803
- Surgery 1.2k
- Molecular Biology 795
- Cancer Research 87
Countries citing papers authored by Yan Hang
This map shows the geographic impact of Yan Hang'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 Yan Hang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Hang more than expected).
Fields of papers citing papers by Yan Hang
This network shows the impact of papers produced by Yan Hang. 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 Yan Hang. The network helps show where Yan Hang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Hang, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 197 | |
| 2 | 2020 | 179 | |
| 3 | 2011 | 167 | |
| 4 | 2006 | 164 | |
| 5 | 2011 | 126 | |
| 6 | 2020 | 118 | |
| 7 | 2017 | 118 | |
| 8 | 2014 | 97 | |
| 9 | 2020 | 79 | |
| 10 | 2007 | 56 | |
| 11 | 2021 | 49 | |
| 12 | 2007 | 47 | |
| 13 | 2009 | 41 | |
| 14 | 2008 | 40 | |
| 15 | 2008 | 34 | |
| 16 | 2018 | 33 | |
| 17 | 2009 | 28 | |
| 18 | 2010 | 25 | |
| 19 | 2020 | 20 | |
| 20 | 2017 | 16 |
About Yan Hang
Yan Hang is a scholar working on Surgery, Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (23 papers), Diabetes and associated disorders (14 papers), Metabolism, Diabetes, and Cancer (6 papers), Genetics and Neurodevelopmental Disorders (5 papers), Diabetes Management and Research (4 papers), Natural product bioactivities and synthesis (3 papers), Single-cell and spatial transcriptomics (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (517 citations), Genetics (803 citations), Surgery (1.2k citations), Molecular Biology (795 citations) and Cancer Research (87 citations). Yan Hang has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Roland Stein, Isabella Artner, Seung K. Kim, Min Guo, Alvin C. Powers, Tsunehiko Yamamoto, Mark A. Magnuson, Eva Henderson, J Lindner and Magdalena Mazur. Their work appears in journals such as Diabetes, Journal of Endocrinology, Cancer, Cell Metabolism and Trends in Endocrinology and Metabolism.
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.