Peifeng Chen

808 citations
42 papers · 686 · h-index 16

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 2
    • Melanoma and MAPK Pathways 2
    • Rice Cultivation and Yield Improvement 14
    • GABA and Rice Research 3

Peifeng Chen

40 papers receiving 669 citations

Peers

Peifeng Chen
Comparison fields: 5 of 91
  • Virology 38
  • Geriatrics and Gerontology 20
  • Immunology 103
  • Cancer Research 59
  • Molecular Biology 292
Replace Jinlong Yu with:
Jinlong Yu China
Yanfen Liu China
Kalaiarasan Ponnusamy India
Fumiaki Uchiumi Japan
Silvana Giuliatti Brazil
Gabriella Laudiero Italy
Thomas Montange France
Aoshuang Chen United States
Yanzhi Yuan China
Peifeng Chen relative to Jinlong Yu China Jinlong Yu's profile →
Citations per field
00.5×3.2×
Jinlong Yu · 1×
Citations per year

Countries citing papers authored by Peifeng Chen

Since Specialization
Citations

This map shows the geographic impact of Peifeng Chen'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 Peifeng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peifeng Chen more than expected).

Fields of papers citing papers by Peifeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peifeng Chen. 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 Peifeng Chen. The network helps show where Peifeng Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Peifeng Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peifeng Chen Line = papers co-authored together Peifeng Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200664
2 200058
3 200056
4 201855
5 201453
6 199850
7 201447
8 201139
9 201929
10 202220
11 201220
12 200018
13 200218
14 199417
15 201216
16 202015
17 200414
18 200214
19 201412
20 20249

About Peifeng Chen

Peifeng Chen is a scholar working on Molecular Biology, Plant Science, Immunology, Agronomy and Crop Science and Physiology, having authored 42 papers that have together received 686 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (14 papers), Crop Yield and Soil Fertility (3 papers), Nitric Oxide and Endothelin Effects (3 papers), GABA and Rice Research (3 papers), Immune cells in cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Melanoma and MAPK Pathways (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Virology (38 citations), Geriatrics and Gerontology (20 citations), Immunology (103 citations), Cancer Research (59 citations) and Molecular Biology (292 citations). Peifeng Chen has collaborated with scholars based in China, Taiwan and Germany. Frequent co-authors include Kenneth K. Wu, Ulf R. Rapp, Angelika Hoffmeyer, Egbert Flory, Dar‐Ming Lai, Bu-Hong ZHAO, Minghui Dong, Yong‐Kwang Tu, Stephan Ludwig and I-Min Liu. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Hormone and Metabolic Research, Journal of Virology and Biochemical Pharmacology.

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.

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