Peili Chen

2.4k citations
72 papers · 1.9k · h-index 24

Impact in

Papers in

    • Protein Tyrosine Phosphatases 5
    • Melanoma and MAPK Pathways 5
    • Protein Interaction Studies and Fluorescence Analysis 3
    • Corrosion Behavior and Inhibition 5

Peili Chen

69 papers receiving 1.9k citations

Peers

Peili Chen
Comparison fields: 5 of 140
  • Metals and Alloys 47
  • Immunology 230
  • Cancer Research 155
  • Molecular Biology 748
  • Toxicology 33
Replace Takashi Sawai with:
Takashi Sawai Japan
Yasushi Suzuki Japan
William R. Moore United States
Sun Mi Kim South Korea
Hiroyuki Morimoto Japan
Shinichi Sato Japan
Lihong Shi China
Ruifang Chen China
Thomas Groß United States
Peili Chen relative to Takashi Sawai Japan Takashi Sawai's profile →
Citations per field
00.5×4.1×
Takashi Sawai · 1×
Citations per year

Countries citing papers authored by Peili Chen

Since Specialization
Citations

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

Fields of papers citing papers by Peili Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peili 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 Peili Chen Line = papers co-authored together Peili Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002258
2 2004112
3 200098
4 200196
5 201091
6 200283
7 200980
8 200876
9 202366
10 201556
11 201855
12 201751
13 201149
14 201047
15 200344
16 199239
17 200438
18 201731
19 200530
20 202230

About Peili Chen

Peili Chen is a scholar working on Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine and Mechanics of Materials, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (5 papers), Melanoma and MAPK Pathways (5 papers), Corrosion Behavior and Inhibition (5 papers), Concrete Corrosion and Durability (4 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers), Catalysis for Biomass Conversion (3 papers), Analytical chemistry methods development (3 papers) and Carcinogens and Genotoxicity Assessment (3 papers). The work is most often cited by research in Metals and Alloys (47 citations), Immunology (230 citations), Cancer Research (155 citations), Molecular Biology (748 citations) and Toxicology (33 citations). Peili Chen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Liu Y, Janice Barnes, Chao-Sung Lin, Ji Li, Dorothy Hutter, Gertrude C. Kokkonen, John C. Lee, Myriam Gorospe, Xiaoling Yang and Lin Yang. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Corrosion Science, Applied Surface Science and Protein Expression and Purification.

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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