Fengpeng Lin

976 citations
15 papers · 618 · h-index 10

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Muscle Physiology and Disorders

Papers in

    • RNA Research and Splicing 5
    • Circular RNAs in diseases 4
    • Muscle Physiology and Disorders 3
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Genetic and phenotypic traits in livestock 3
    • Animal Genetics and Reproduction 2

Fengpeng Lin

14 papers receiving 614 citations

Peers

Fengpeng Lin
Comparison fields: 5 of 63
  • Cancer Research 367
  • Molecular Biology 468
  • Genetics 116
  • Geriatrics and Gerontology 8
  • Physiology 50
Replace Nicolas Nottet with:
Nicolas Nottet France
Xianyong Lan China
Zaiyan Xu China
Chang‐Chih Wu United States
Yu Luan China
Manting Ma China
Yun-Fang Zhen China
Qiuzhong Zhou China
Gerald Hysenaj United Kingdom
Naresh Doni Jayavelu United States
Fengpeng Lin relative to Nicolas Nottet France Nicolas Nottet's profile →
Citations per field
00.5×3.7×
Nicolas Nottet · 1×
Citations per year

Countries citing papers authored by Fengpeng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Fengpeng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2017179
2 2016134
3 201671
4 201658
5 201648
6 201835
7 201834
8 201620
9 201819
10 201810
11 20174
12 20164
13 20241
14 20181
15 20200

About Fengpeng Lin

Fengpeng Lin is a scholar working on Molecular Biology, Genetics, Cancer Research, Plant Science and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 618 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Circular RNAs in diseases (4 papers), Muscle Physiology and Disorders (3 papers), MicroRNA in disease regulation (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic and phenotypic traits in livestock (3 papers), Cancer-related molecular mechanisms research (3 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Cancer Research (367 citations), Molecular Biology (468 citations), Genetics (116 citations), Geriatrics and Gerontology (8 citations) and Physiology (50 citations). Fengpeng Lin has collaborated with scholars based in China, United States and India. Frequent co-authors include Chuzhao Lei, Yueyu Bai, Martin Plath, Hong Chen, Yongzhen Huang, Xuefeng Wei, Xianyong Lan, Hanfang Cai, Dong Dong and Hui Li. Their work appears in journals such as Journal of Cellular Physiology, Journal of Applied Animal Research, Journal of Food and Drug Analysis, Prion and RNA Biology.

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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