Jin Pei

110 papers receiving 2.8k citations

Hit Papers

Myricetin: A review of the most recent research 2020 · 268 citations
268202020262022202450100150200250

Peers

Jin Pei
Comparison fields: 5 of 142
  • Pharmacology 259
  • Biochemistry 163
  • Molecular Biology 1.9k
  • Cell Biology 414
  • Complementary and alternative medicine 193
Replace Jing Wu with:
Jing Wu China
Lijuan Liu China
Nadine Darwiche Lebanon
Xiukun Lin China
Ho Jin You South Korea
Takuji Tanaka Japan
Soo-Hyun Kim South Korea
Masaya Imoto Japan
Ryoiti Kiyama Japan
Léandros Skaltsounis Greece
Jin Pei relative to Jing Wu China Jing Wu's profile →
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Citations per year

Countries citing papers authored by Jin Pei

Since Specialization
Citations

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

Fields of papers citing papers by Jin Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Myricetin: A review of the most recent research
Hit paper breakdown →
2020268
2 1998262
3 1996228
4 1995211
5 1990128
6 2019125
7 2021118
8 202073
9 201865
10 202162
11 200161
12
Inhibition of in vitro myogenic differentiation by cellular transcription factor E2F1.
199557
13 199155
14 201945
15 201945
16 202141
17 200838
18 201837
19 202236
20 202034

About Jin Pei

Jin Pei is a scholar working on Complementary and alternative medicine, Pharmacology, Molecular Biology, Plant Science and Pharmacology, having authored 113 papers that have together received 2.9k indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (12 papers), Natural product bioactivities and synthesis (12 papers), Sunflower and Safflower Cultivation (11 papers), Plant biochemistry and biosynthesis (11 papers), Traditional Chinese Medicine Analysis (10 papers), Ginseng Biological Effects and Applications (10 papers), Pharmacological Effects of Natural Compounds (8 papers) and Phytochemistry and Biological Activities (8 papers). The work is most often cited by research in Pharmacology (259 citations), Biochemistry (163 citations), Molecular Biology (1.9k citations), Cell Biology (414 citations) and Complementary and alternative medicine (193 citations). Jin Pei has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include David O. Morgan, Nils R. Ringertz, Stephen Hardy, Chaoxiang Ren, Yun Gu, Linfang Huang, Robert P. Fisher, Holly Chamberlin, J Chen and Thomas Sejersen. Their work appears in journals such as Scientific Reports, Chinese Medicine, Frontiers in Plant Science, Journal of Biological Chemistry and Biomedicine & Pharmacotherapy.

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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