Lan Lin

914 citations
32 papers · 616 · h-index 15

Impact in

    • Genomics and Chromatin Dynamics
    • Developmental Biology and Gene Regulation
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • MicroRNA in disease regulation

Papers in

    • Genomics and Chromatin Dynamics 7
    • Epigenetics and DNA Methylation 5
    • Developmental Biology and Gene Regulation 5
    • Ubiquitin and proteasome pathways 3
    • RNA Research and Splicing 2
    • Cancer, Lipids, and Metabolism 2

Lan Lin

28 papers receiving 604 citations

Peers

Lan Lin
Comparison fields: 5 of 86
  • Molecular Biology 448
  • Cancer Research 71
  • Immunology 68
  • Genetics 85
  • Aging 5
Replace Xiuhua Liu with:
Xiuhua Liu China
Roy Walker Australia
Sreevidya Santha United States
Maike A. Laussmann Ireland
Monika Aggarwal United States
Weihua Dong China
Andrew S. Goldsborough United States
Yifei Tang China
Simone A. Baechler United States
Magdalena Śmiech Poland
Lan Lin relative to Xiuhua Liu China Xiuhua Liu's profile →
Citations per field
00.5×1.7×
Xiuhua Liu · 1×
Citations per year

Countries citing papers authored by Lan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Lan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992123
2 200368
3 200961
4 202141
5 201736
6 200532
7 201230
8 200424
9 202021
10 201820
11 201418
12 202017
13 200717
14 202216
15 202116
16 202113
17 201912
18 202210
19 20218
20 20228

About Lan Lin

Lan Lin is a scholar working on Molecular Biology, Cancer Research, Genetics, Epidemiology and Cell Biology, having authored 32 papers that have together received 616 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (5 papers), Developmental Biology and Gene Regulation (5 papers), Autophagy in Disease and Therapy (3 papers), Ubiquitin and proteasome pathways (3 papers), Cancer, Lipids, and Metabolism (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Molecular Biology (448 citations), Cancer Research (71 citations), Immunology (68 citations), Genetics (85 citations) and Aging (5 citations). Lan Lin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include William McGinnis, Jumin Zhou, Qing Lin, Qi Chen, Sheryl T. Smith, Jing Huang, Jonathan P. Saxe, Wei Zou, Yi Xing and Michael W. Xie. Their work appears in journals such as Autophagy, Developmental Biology, Bioorganic Chemistry, Genes & Development 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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