Feng Yan

2.1k citations
40 papers · 1.6k · h-index 22

Impact in

    • Microtubule and mitosis dynamics
    • Genomics, phytochemicals, and oxidative stress
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • Glutathione Transferases and Polymorphisms
    • RNA modifications and cancer
    • DNA Repair Mechanisms

Papers in

    • Ubiquitin and proteasome pathways 8
    • Genomics and Chromatin Dynamics 6
    • Epigenetics and DNA Methylation 5
    • Genomics, phytochemicals, and oxidative stress 5
    • DNA Repair Mechanisms 4
    • Photosynthetic Processes and Mechanisms 4
    • Microtubule and mitosis dynamics 12

Feng Yan

38 papers receiving 1.6k citations

Peers

Feng Yan
Comparison fields: 5 of 93
  • Cell Biology 356
  • Molecular Biology 1.2k
  • Physiology 55
  • Oncology 242
  • Cancer Research 125
Replace Leyuan Liu with:
Leyuan Liu United States
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Federico Gulluni Italy
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John A. A. Ladias United States
Susumu Tanimura Japan
K. Kishta Reddy United States
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Feng Yan relative to Leyuan Liu United States Leyuan Liu's profile →
Citations per field
00.5×1.6×
Leyuan Liu · 1×
Citations per year

Countries citing papers authored by Feng Yan

Since Specialization
Citations

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

Fields of papers citing papers by Feng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013216
2 2012108
3 2013101
4 201699
5 201070
6 201566
7 200866
8 201466
9 200865
10 201564
11 201463
12 201463
13 201660
14 201448
15 200947
16 201439
17 201634
18 201733
19 201428
20 201726

About Feng Yan

Feng Yan is a scholar working on Molecular Biology, Cell Biology, Oncology, Immunology and Plant Science, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (12 papers), Ubiquitin and proteasome pathways (8 papers), Genomics and Chromatin Dynamics (6 papers), Epigenetics and DNA Methylation (5 papers), Genomics, phytochemicals, and oxidative stress (5 papers), DNA Repair Mechanisms (4 papers), Photosynthetic Processes and Mechanisms (4 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cell Biology (356 citations), Molecular Biology (1.2k citations), Physiology (55 citations), Oncology (242 citations) and Cancer Research (125 citations). Feng Yan has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Michael B. Major, Dennis Goldfarb, Priscila F. Siesser, Bridgid E. Hast, D. Neil Hayes, Michael A. Hast, Kathleen M. Mulvaney, Yue Xiong, Xuebiao Yao and Ning Zheng. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cell, Nature Communications, Cancer Research and Molecular Cancer Research.

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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