Ergeng Hao
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- Diabetes Management and Research 12
- Surgery top 2%
- Pancreatic function and diabetes 31
- Genetics top 2%
- Diabetes and associated disorders 16
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer 9
- Pluripotent Stem Cells Research 6
- CRISPR and Genetic Engineering 3
- Developmental Neuroscience top 10%
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- Cannabis and Cannabinoid Research 5
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- 3D Printing in Biomedical Research 5
- Co-authors
- Alberto HayekSheng DingFred LevineHeung Sik HahmGillian M. BeattiePamela Itkin‐AnsariTongxiang LinWenlin Li
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Stem Cells (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Ergeng Hao
39 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 91
- Endocrinology, Diabetes and Metabolism 733
- Surgery 1.7k
- Genetics 938
- Molecular Biology 1.9k
- Developmental Neuroscience 51
Countries citing papers authored by Ergeng Hao
This map shows the geographic impact of Ergeng Hao'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 Ergeng Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ergeng Hao more than expected).
Fields of papers citing papers by Ergeng Hao
This network shows the impact of papers produced by Ergeng Hao. 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 Ergeng Hao. The network helps show where Ergeng Hao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ergeng Hao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2016 | 21 | |
| 5 | 2015 | 65 | |
| 6 | 2014 | 68 | |
| 7 | 2014 | 11 | |
| 8 | 2014 | 4 | |
| 9 | 2011 | 21 | |
| 10 | 2011 | 67 | |
| 11 | 2011 | 24 | |
| 12 | 2011 | 15 | |
| 13 | 2010 | 33 | |
| 14 | 2009 | 33 | |
| 15 | 2009 | 436 | |
| 16 | 2009 | 82 | |
| 17 | 2009 | 23 | |
| 18 | 2006 | 173 | |
| 19 | 2003 | 16 | |
| 20 | 2001 | 109 |
About Ergeng Hao
Ergeng Hao is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics, having authored 40 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (31 papers), Diabetes and associated disorders (16 papers), Diabetes Management and Research (12 papers), Metabolism, Diabetes, and Cancer (9 papers), Pluripotent Stem Cells Research (6 papers), Cannabis and Cannabinoid Research (5 papers), 3D Printing in Biomedical Research (5 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (733 citations), Surgery (1.7k citations) and Genetics (938 citations). Ergeng Hao has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Alberto Hayek, Sheng Ding, Fred Levine, Heung Sik Hahm, Gillian M. Beattie, Pamela Itkin‐Ansari, Tongxiang Lin, Wenlin Li, Ramzey Abujarour and Claire L. Dubois. Their work appears in journals such as Proceedings of the National Academy of Sciences, Stem Cells, Journal of Biological Chemistry, Diabetes and Nature Methods.
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.