Peiwen Fei

3.0k citations
51 papers · 2.3k indexed · h-index 23

Impact in

Papers in

    • Carcinogens and Genotoxicity Assessment 7
    • DNA Repair Mechanisms 24
    • CRISPR and Genetic Engineering 7
    • Genomics and Chromatin Dynamics 6
    • Epigenetics and DNA Methylation 6

Peiwen Fei

51 papers receiving 2.3k citations

Peers

Peiwen Fei
Comparison fields: 5 of 107
  • Cancer Research 576
  • Oncology 825
  • Molecular Biology 1.8k
  • Biotechnology 147
  • Cell Biology 217
Replace Razmik Mirzayans with:
Razmik Mirzayans Canada
Jack T. Zilfou United States
Shengkan Jin United States
Claudio J. Conti United States
Stephano S. Mello Brazil
Ana Janic Australia
Takeshi Iwamura Japan
Ken Brown United Kingdom
Insoo Bae United States
Sanjay Katiyar United States
Peiwen Fei relative to Razmik Mirzayans Canada Razmik Mirzayans's profile →
Citations per field
00.5×1.5×
Razmik Mirzayans · 1×
Citations per year

Countries citing papers authored by Peiwen Fei

Since Specialization
Citations

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

Fields of papers citing papers by Peiwen Fei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20246
4 20233
5 20201
6 20204
7 201941
8 201720
9 201764
10 201521
11 201554
12 201111
13 201028
14 201030
15 200829
16 200440
17 2002322
18 199626
19 199614
20 19959

About Peiwen Fei

Peiwen Fei is a scholar working on Cancer Research, Molecular Biology, Oncology, Biotechnology and Pharmacology, having authored 51 papers that have together received 2.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (24 papers), Cancer-related Molecular Pathways (9 papers), CRISPR and Genetic Engineering (7 papers), Carcinogens and Genotoxicity Assessment (7 papers), Genomics and Chromatin Dynamics (6 papers), Epigenetics and DNA Methylation (6 papers), Plant Micronutrient Interactions and Effects (5 papers) and Cancer Research and Treatments (4 papers). The work is most often cited by research in Cancer Research (576 citations), Oncology (825 citations), Molecular Biology (1.8k citations), Biotechnology (147 citations) and Cell Biology (217 citations). Peiwen Fei has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Wafik S. El‐Deiry, Eric J. Bernhard, Jun Zhang, Joanna K. Sax, Timothy F. Burns, David T. Dicker, Stanley J. Korsmeyer, Maureen E. Murphy, Raymond Che and Manoj Nepal. Their work appears in journals such as Oncotarget, Cell Cycle, Cancer Biology & Therapy, Pharmaceutical Research and Breast Cancer Research and Treatment.

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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