Lin Lin

7.0k citations
186 papers · 5.5k · h-index 41

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 9
    • Mitochondrial Function and Pathology 6
    • Cannabis and Cannabinoid Research 15
    • Pharmacological Effects of Natural Compounds 5

Lin Lin

178 papers receiving 5.3k citations

Peers

Lin Lin
Comparison fields: 5 of 156
  • Biochemistry 314
  • Aging 69
  • Biological Psychiatry 89
  • Molecular Biology 2.4k
  • Endocrinology, Diabetes and Metabolism 456
Replace Wei‐Wen Kuo with:
Wei‐Wen Kuo Taiwan
Hong Zhu United States
Nina Kaludercic Italy
Duan‐Fang Liao China
Brijesh Kumar Singh Singapore
Johan W. Jonker Netherlands
Gábor Bánhegyi Hungary
Francisco Rafael Martins Laurindo Brazil
Paul Nioi United States
Subbiah Pugazhenthi United States
Lin Lin relative to Wei‐Wen Kuo Taiwan Wei‐Wen Kuo's profile →
Citations per field
00.5×1.5×2.0×
Wei‐Wen Kuo · 1×
Citations per year

Countries citing papers authored by Lin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Lin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005294
2 2012249
3 2013213
4 2012196
5 2017186
6 2006155
7 2001138
8 2005133
9 2009127
10 2011113
11 2006109
12 2009108
13 2009100
14 200593
15 200292
16
Omega-3 Fatty Acids and Cardiovascular Disease
201684
17 200384
18 201681
19 200678
20 201074

About Lin Lin

Lin Lin is a scholar working on Molecular Biology, Pharmacology, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Neurology, having authored 186 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (15 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Alcohol Consumption and Health Effects (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Mitochondrial Function and Pathology (6 papers), Fatty Acid Research and Health (6 papers) and Pharmacological Effects of Natural Compounds (5 papers). The work is most often cited by research in Biochemistry (314 citations), Aging (69 citations), Biological Psychiatry (89 citations), Molecular Biology (2.4k citations) and Endocrinology, Diabetes and Metabolism (456 citations). Lin Lin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include John C. Achermann, Peter J.H. Jones, Kira S. Makarova, Elena Anatolevna Smirnova, Catherine L. Jackson, William David Brown, Xiaomei Yan, René Anand, Youhua Liu and Dong Feng Zhou. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Aging, Journal of Biological Chemistry, Advanced Science and Journal of Ovarian Research.

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.

Explore authors with similar magnitude of impact