Li Lin

3.2k citations
63 papers · 869 · h-index 18

Impact in

Papers in

Li Lin

55 papers receiving 835 citations

Peers

Li Lin
Comparison fields: 5 of 105
  • Cancer Research 115
  • Nephrology 42
  • Molecular Biology 424
  • Ecology, Evolution, Behavior and Systematics 90
  • Biomedical Engineering 145
Replace Dongsheng Zhang with:
Dongsheng Zhang China
Marco D. Wong United States
Stefan Boerno Germany
Г. П. Пинаев Russia
Yoshie Kawashima‐Ohya Japan
Huawen Lin United States
Irene Yiallouros Germany
Gholamreza Tavoosidana Iran
Thomas P. Smith United States
Li Lin relative to Dongsheng Zhang China Dongsheng Zhang's profile →
Citations per field
00.5×2×4×6×8×10×
Dongsheng Zhang · 1×
Citations per year

Countries citing papers authored by Li Lin

Since Specialization
Citations

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

Fields of papers citing papers by Li Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Floristic relationships between eastern Asia and eastern North America
197196
2 201882
3 201978
4 202248
5 202142
6 202436
7 202134
8 201934
9 202125
10 202220
11 201720
12 200720
13 200719
14 201919
15 202118
16 197218
17 202018
18 201618
19 201716
20 201816

About Li Lin

Li Lin is a scholar working on Molecular Biology, Biomedical Engineering, Cancer Research, Pathology and Forensic Medicine and Nephrology, having authored 63 papers that have together received 869 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), RNA Interference and Gene Delivery (6 papers), RNA modifications and cancer (5 papers), Renal Diseases and Glomerulopathies (4 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), Craniofacial Disorders and Treatments (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (115 citations), Nephrology (42 citations), Molecular Biology (424 citations), Ecology, Evolution, Behavior and Systematics (90 citations) and Biomedical Engineering (145 citations). Li Lin has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Leilei Tian, Jiantao Yu, Fan Xiao, Zixiang Wei, Chen Shao, Nenghu Fang, Yan Li, Congying Gu, Yishun Huang and Haoran Zhao. Their work appears in journals such as Oncotarget, Journal of Craniofacial Surgery, Scientific Reports, ACS Applied Bio Materials and Journal of Separation Science.

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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