Li Lin

3.2k citations
63 papers · 856 · h-index 18

Impact in

Papers in

Li Lin

55 papers receiving 824 citations

Peers

Li Lin
Comparison fields: 5 of 104
  • Cancer Research 115
  • Nephrology 42
  • Molecular Biology 419
  • Ecology, Evolution, Behavior and Systematics 87
  • Biomedical Engineering 144
Replace Dongsheng Zhang with:
Dongsheng Zhang China
Stefan Boerno Germany
Marco D. Wong United States
Diane C. Lin United States
Thao M. Nguyen Australia
Yoshie Kawashima‐Ohya Japan
Thomas P. Smith United States
Francis Markey Sweden
Г. П. Пинаев Russia
Li Lin relative to Dongsheng Zhang China Dongsheng Zhang's profile →
Citations per field
00.5×9.7×
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
197193
2 201881
3 201977
4 202248
5 202142
6 202436
7 202134
8 201934
9 202125
10 202220
11 200720
12 201919
13 200718
14 197218
15 201718
16 202018
17 201618
18 202117
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 856 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 (419 citations), Ecology, Evolution, Behavior and Systematics (87 citations) and Biomedical Engineering (144 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, Haoran Zhao, Jinping Jia, Yishun Huang and Yan Li. Their work appears in journals such as Journal of Separation Science, Journal of Craniofacial Surgery, Oncotarget, ACS Applied Bio Materials and Scientific Reports.

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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