Lin Lei

678 citations
18 papers · 499 · h-index 10

Impact in

  • Cell Biology top 10%
    • Zebrafish Biomedical Research Applications
    • Aquaculture disease management and microbiota

Papers in

    • Metabolomics and Mass Spectrometry Studies 2
    • Epigenetics and DNA Methylation 2
    • Zebrafish Biomedical Research Applications 3

Lin Lei

16 papers receiving 493 citations

Peers

Lin Lei
Comparison fields: 5 of 98
  • Cell Biology 136
  • Immunology 88
  • Molecular Biology 252
  • Physiology 79
  • Cancer Research 45
Replace Yi Ge with:
Yi Ge United States
Ceri E. Stewart United Kingdom
Monica Ransom United States
Victoria A. Hughes Australia
Thomas Schaffer Switzerland
Nuruliarizki Shinta Pandupuspitasari China
Angela M. Patterson United Kingdom
David S. Davis Australia
Leonid M. Kanevskiy Russia
Lin Lei relative to Yi Ge United States Yi Ge's profile →
Citations per field
00.5×4.3×
Yi Ge · 1×
Citations per year

Countries citing papers authored by Lin Lei

Since Specialization
Citations

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

Fields of papers citing papers by Lin Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2002126
2 2020120
3 200155
4 201339
5 202530
6 201828
7 201723
8 201521
9 201220
10 202411
11 20197
12 20247
13 20214
14 20053
15 20203
16 20252
17 20240
18 20250

About Lin Lei

Lin Lei is a scholar working on Molecular Biology, Cell Biology, Electrical and Electronic Engineering, Cancer Research and Infectious Diseases, having authored 18 papers that have together received 499 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Advanced battery technologies research (2 papers), Cancer-related molecular mechanisms research (2 papers), Advanced Battery Technologies Research (1 paper), Gout, Hyperuricemia, Uric Acid (1 paper) and Transition Metal Oxide Nanomaterials (1 paper). The work is most often cited by research in Cell Biology (136 citations), Immunology (88 citations), Molecular Biology (252 citations), Physiology (79 citations) and Cancer Research (45 citations). Lin Lei has collaborated with scholars based in United States, China and Nigeria. Frequent co-authors include Susan E. Lyons, Adebowale Adeyemo, Charles N. Rotimi, Ayo P. Doumatey, Jie Zhou, Brant M. Weinstein, Nathan D. Lawson, Clement Adebamowo, Sally N. Adebamowo and Pu Paul Liu. Their work appears in journals such as Genome Medicine, Scientific Reports, Nature Communications, Gene and Frontiers in Cellular and Infection Microbiology.

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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