Yan Hang
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
-
- Diabetes Management and Research
Papers in
- Co-authors
- Roland W. Stein (9 shared papers)Isabella Artner (4 shared papers)Seung K. Kim (10 shared papers)Min Amy Guo (3 shared papers)Alvin C. Powers (4 shared papers)Mark A. Magnuson (2 shared papers)Tsunehiko Yamamoto (2 shared papers)William W.-G. Jia (3 shared papers)
- Journals
- Diabetes (6 papers)Nature (5 papers)Journal of Endocrinology (2 papers)Nature Biotechnology (2 papers)Diabetologia (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Yan Hang
35 papers receiving 3.9k citations
Yan Hang's Hit Papers
Peers
Comparison fields: 5 of 131
- Aging 227
- Endocrinology, Diabetes and Metabolism 513
- Surgery 1.3k
- Molecular Biology 2.1k
- Genetics 816
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A single-cell transcriptomic atlas characterizes ageing tissues in the mouse Hit paper breakdown → | 2020 | 799 |
| 2 | The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans Hit paper breakdown → | 2022 | 691 |
| 3 | Ageing hallmarks exhibit organ-specific temporal signatures Hit paper breakdown → | 2020 | 462 |
| 4 | 2010 | 208 | |
| 5 | 2020 | 204 | |
| 6 | 2011 | 173 | |
| 7 | 2006 | 171 | |
| 8 | 2020 | 150 | |
| 9 | 2011 | 136 | |
| 10 | 2017 | 124 | |
| 11 | 2022 | 109 | |
| 12 | 2014 | 102 | |
| 13 | 2020 | 88 | |
| 14 | 2022 | 73 | |
| 15 | 2007 | 57 | |
| 16 | 2023 | 53 | |
| 17 | 2007 | 52 | |
| 18 | 2008 | 42 | |
| 19 | 2009 | 40 | |
| 20 | 2008 | 38 |
About Yan Hang
Yan Hang is a scholar working on Surgery, Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism and Biophysics, having authored 37 papers that have together received 4.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (22 papers), Diabetes and associated disorders (12 papers), Single-cell and spatial transcriptomics (12 papers), Metabolism, Diabetes, and Cancer (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Cancer-related molecular mechanisms research (3 papers), Cell Image Analysis Techniques (3 papers) and Diabetes Management and Research (3 papers). The work is most often cited by research in Aging (227 citations), Endocrinology, Diabetes and Metabolism (513 citations), Surgery (1.3k citations), Molecular Biology (2.1k citations) and Genetics (816 citations). Yan Hang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Roland W. Stein, Isabella Artner, Seung K. Kim, Min Amy Guo, Alvin C. Powers, Mark A. Magnuson, Tsunehiko Yamamoto, William W.-G. Jia, Eva Henderson and Magdalena A. Mazur. Their work appears in journals such as Diabetes, Nature, Journal of Endocrinology, Nature Biotechnology 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.