Fei‐Long Meng

3.5k citations
48 papers · 2.3k indexed · h-index 22

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
  • Aging top 5%

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 4
    • T-cell and B-cell Immunology 15
    • Immune Cell Function and Interaction 6

Fei‐Long Meng

47 papers receiving 2.2k citations

Peers

Fei‐Long Meng
Comparison fields: 5 of 97
  • Immunology 753
  • Aging 57
  • Molecular Biology 1.7k
  • Cancer Research 244
  • Business and International Management 29
Replace Hodaka Fujii with:
Hodaka Fujii Japan
Francisco J. Sánchez‐Rivera United States
Benjamin G. Gowen United States
Yunmei Ma United States
Andrew J. Kueh Australia
Helen Yu United States
Cong Liu China
Pascale Bertrand France
Shinichiro Nakada Japan
John Maciejowski United States
Fei‐Long Meng relative to Hodaka Fujii Japan Hodaka Fujii's profile →
Citations per field
00.5×2.9×
Hodaka Fujii · 1×
Citations per year

Countries citing papers authored by Fei‐Long Meng

Since Specialization
Citations

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

Fields of papers citing papers by Fei‐Long Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20243
3 20238
4 20227
5 20222
6 202163
7 202111
8 202014
9 202024
10 20208
11 201812
12 2018108
13 20173
14 201792
15 2017125
16 20153
17 2015115
18 2015115
19 2013341
20 200839

About Fei‐Long Meng

Fei‐Long Meng is a scholar working on Aging, Immunology, Molecular Biology, Oncology and Genetics, having authored 48 papers that have together received 2.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (17 papers), DNA Repair Mechanisms (15 papers), T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (6 papers), Genomics and Chromatin Dynamics (6 papers), RNA modifications and cancer (5 papers), Telomeres, Telomerase, and Senescence (5 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). The work is most often cited by research in Immunology (753 citations), Aging (57 citations), Molecular Biology (1.7k citations), Cancer Research (244 citations) and Business and International Management (29 citations). Fei‐Long Meng has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Frederick W. Alt, Bjoern Schwer, Yu Zhang, Chunguang Guo, Zhou Du, Jiazhi Hu, Robin M. Meyers, Leng-Siew Yeap, Joyce K. Hwang and Jin‐Qiu Zhou. Their work appears in journals such as Cell, Cell Reports, Nucleic Acids Research, Nature and Proceedings of the National Academy of Sciences.

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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