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 Gene Expression Analysis 6
- Plant biochemistry and biosynthesis 6
- Plant and Fungal Species Descriptions 5
- Photosynthetic Processes and Mechanisms 4
- Co-authors
- Weitao Huang (2 shared papers)Jay K. Kolls (2 shared papers)Paul Schwarzenberger (2 shared papers)Ken Itoh (2 shared papers)Haojie Lu (10 shared papers)Ying Zhang (8 shared papers)Lijun Yang (5 shared papers)Tomoh Matsumiya (1 shared paper)
- Journals
- Analytical Chemistry (4 papers)Plants (3 papers)Forests (3 papers)Analytica Chimica Acta (2 papers)Frontiers in Plant Science (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ye Peng
78 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 150
- Immunology 462
- Molecular Biology 985
- Developmental Neuroscience 41
- Cancer Research 129
- Plant Science 295
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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 269 | |
| 2 | 2000 | 216 | |
| 3 | 2014 | 174 | |
| 4 | 2015 | 123 | |
| 5 | 2018 | 94 | |
| 6 | 2018 | 53 | |
| 7 | 2023 | 52 | |
| 8 | 2017 | 47 | |
| 9 | 2019 | 46 | |
| 10 | 2023 | 45 | |
| 11 | 2013 | 44 | |
| 12 | 2022 | 42 | |
| 13 | 2016 | 41 | |
| 14 | 2018 | 40 | |
| 15 | 2019 | 40 | |
| 16 | 2019 | 37 | |
| 17 | 2017 | 35 | |
| 18 | 2019 | 34 | |
| 19 | 2018 | 32 | |
| 20 | 2018 | 31 |
About Ye Peng
Ye Peng is a scholar working on Molecular Biology, Plant Science, Genetics, Ecology, Evolution, Behavior and Systematics and Atmospheric Science, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Genomics and Phylogenetic Studies (9 papers), Plant Gene Expression Analysis (6 papers), Plant biochemistry and biosynthesis (6 papers), Plant and Fungal Species Descriptions (5 papers), Plant and animal studies (5 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). The work is most often cited by research in Immunology (462 citations), Molecular Biology (985 citations), Developmental Neuroscience (41 citations), Cancer Research (129 citations) and Plant Science (295 citations). Ye Peng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Weitao Huang, Jay K. Kolls, Paul Schwarzenberger, Ken Itoh, Haojie Lu, Ying Zhang, Lijun Yang, Tomoh Matsumiya, Kunikazu Tanji and Taku Ozaki. Their work appears in journals such as Analytical Chemistry, Plants, Forests, Analytica Chimica Acta and Frontiers in Plant Science.
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.