Ping Ye
Impact in
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
-
- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Epigenetics and DNA Methylation 12
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- Growth Hormone and Insulin-like Growth Factors 21
- Co-authors
- A. Joseph D’Ercole (22 shared papers)John R. OʼKusky (5 shared papers)Denise E. Kirschner (6 shared papers)Gabriel Gutiérrez‐Ospina (1 shared paper)Ali S. Çalıkoğlu (1 shared paper)Joel S. Bader (4 shared papers)Daniel Yuan (3 shared papers)Jef D. Boeke (3 shared papers)
- Journals
- Scientific Reports (4 papers)Nature Communications (4 papers)International Immunopharmacology (3 papers)PLoS ONE (3 papers)Materials (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ping Ye
266 papers receiving 7.4k citations
Peers
Comparison fields: 5 of 175
- Developmental Neuroscience 864
- Endocrinology, Diabetes and Metabolism 947
- Molecular Biology 3.0k
- Neurology 336
- Aging 68
Countries citing papers authored by Ping Ye
This map shows the geographic impact of Ping Ye'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 Ping Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Ye more than expected).
Fields of papers citing papers by Ping Ye
This network shows the impact of papers produced by Ping Ye. 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 Ping Ye. The network helps show where Ping Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Ye, 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 276 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 485 | |
| 2 | 2006 | 452 | |
| 3 | 1996 | 402 | |
| 4 | 2000 | 311 | |
| 5 | 2002 | 200 | |
| 6 | 2002 | 190 | |
| 7 | 2008 | 184 | |
| 8 | 2012 | 173 | |
| 9 | 2006 | 163 | |
| 10 | 2020 | 152 | |
| 11 | 2017 | 151 | |
| 12 | 2005 | 125 | |
| 13 | 2016 | 120 | |
| 14 | 2002 | 106 | |
| 15 | 2008 | 91 | |
| 16 | 2020 | 87 | |
| 17 | 2004 | 82 | |
| 18 | 2007 | 80 | |
| 19 | 2000 | 78 | |
| 20 | 2013 | 70 |
About Ping Ye
Ping Ye is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Materials Chemistry, Mechanical Engineering and Surgery, having authored 276 papers that have together received 7.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (21 papers), Epigenetics and DNA Methylation (12 papers), Energetic Materials and Combustion (12 papers), High-Velocity Impact and Material Behavior (11 papers), Genetics and Neurodevelopmental Disorders (10 papers), Neurogenesis and neuroplasticity mechanisms (10 papers), Immune Cell Function and Interaction (10 papers) and Nuclear reactor physics and engineering (8 papers). The work is most often cited by research in Developmental Neuroscience (864 citations), Endocrinology, Diabetes and Metabolism (947 citations), Molecular Biology (3.0k citations), Neurology (336 citations) and Aging (68 citations). Ping Ye has collaborated with scholars based in China, United States and Australia. Frequent co-authors include A. Joseph D’Ercole, John R. OʼKusky, Denise E. Kirschner, Gabriel Gutiérrez‐Ospina, Ali S. Çalıkoğlu, Joel S. Bader, Daniel Yuan, Jef D. Boeke, Xuewen Pan and Xiaoling Wang. Their work appears in journals such as Scientific Reports, Nature Communications, International Immunopharmacology, PLoS ONE and Materials.
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.