Ye Peng
Impact in
- Immunology top 5%
- Psoriasis: Treatment and Pathogenesis
- Immune Response and Inflammation
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research
- Genomics, phytochemicals, and oxidative stress
Papers in
-
- Glycosylation and Glycoproteins Research 10
- Genomics and Phylogenetic Studies 9
- Plant Reproductive Biology 6
- Plant biochemistry and biosynthesis 6
- Plant Gene Expression Analysis 5
- Co-authors
- Jay K. Kolls (2 shared papers)Paul Schwarzenberger (2 shared papers)Weitao Huang (2 shared papers)Ken Itoh (2 shared papers)Haojie Lu (10 shared papers)Ying Zhang (8 shared papers)Lijun Yang (5 shared papers)Gregory Bagby (1 shared paper)
- Journals
- Analytical Chemistry (4 papers)Plants (3 papers)Forests (3 papers)Environmental Earth Sciences (2 papers)Industrial Crops and Products (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ye Peng
86 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 150
- Immunology 446
- Molecular Biology 998
- Developmental Neuroscience 42
- Plant Science 332
- Cancer Research 116
Countries citing papers authored by Ye Peng
This map shows the geographic impact of Ye Peng'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 Ye Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Peng more than expected).
Fields of papers citing papers by Ye Peng
This network shows the impact of papers produced by Ye Peng. 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 Ye Peng. The network helps show where Ye Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Peng, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 278 | |
| 2 | 2000 | 226 | |
| 3 | 2014 | 178 | |
| 4 | 2015 | 124 | |
| 5 | 2018 | 100 | |
| 6 | 2017 | 63 | |
| 7 | 2023 | 59 | |
| 8 | 2018 | 57 | |
| 9 | 2023 | 55 | |
| 10 | 2019 | 52 | |
| 11 | 2022 | 50 | |
| 12 | 2016 | 49 | |
| 13 | 2013 | 45 | |
| 14 | 2018 | 44 | |
| 15 | 2019 | 41 | |
| 16 | 2019 | 41 | |
| 17 | 2019 | 39 | |
| 18 | 2017 | 37 | |
| 19 | 2019 | 36 | |
| 20 | 2018 | 33 |
About Ye Peng
Ye Peng is a scholar working on Molecular Biology, Plant Science, Genetics, Ecology, Evolution, Behavior and Systematics and Organic Chemistry, having authored 95 papers that have together received 2.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Genomics and Phylogenetic Studies (9 papers), Plant and animal studies (7 papers), Plant Reproductive Biology (6 papers), Plant biochemistry and biosynthesis (6 papers), Plant Gene Expression Analysis (5 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Landslides and related hazards (4 papers). The work is most often cited by research in Immunology (446 citations), Molecular Biology (998 citations), Developmental Neuroscience (42 citations), Plant Science (332 citations) and Cancer Research (116 citations). Ye Peng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jay K. Kolls, Paul Schwarzenberger, Weitao Huang, Ken Itoh, Haojie Lu, Ying Zhang, Lijun Yang, Gregory Bagby, Zili Zhang and Taku Ozaki. Their work appears in journals such as Analytical Chemistry, Plants, Forests, Environmental Earth Sciences and Industrial Crops and Products.
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.