Junlin Li

7.0k citations
102 papers · 5.8k · 1 hit paper · h-index 21

Impact in

    • Autophagy in Disease and Therapy
  • Physiology top 1%
    • Calcium signaling and nucleotide metabolism

Papers in

Junlin Li

93 papers receiving 5.7k citations

Junlin Li's Hit Papers

Guidelines for the use and interpretation of assays for monitoring autophagy 2012 · 3.5k citations
3.5k0+4+9Years since publication10002.0k3.0k

Peers

Junlin Li
Comparison fields: 5 of 164
  • Epidemiology 2.5k
  • Physiology 300
  • Geriatrics and Gerontology 135
  • Cell Biology 665
  • Molecular Biology 2.5k
Replace Liming Wang with:
Liming Wang China
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Junlin Li relative to Liming Wang China Liming Wang's profile →
Citations per field
00.5×2×4×6×8.0×
Liming Wang · 1×
Citations per year

Countries citing papers authored by Junlin Li

Since Specialization
Citations

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

Fields of papers citing papers by Junlin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Guidelines for the use and interpretation of assays for monitoring autophagy
Hit paper breakdown →
20123543
2 2014412
3 2010305
4 2011298
5 2017145
6 201975
7 202251
8 201849
9 202345
10 201236
11 201436
12 201735
13 202234
14 202233
15 201033
16 201432
17 201129
18 202328
19 200925
20 202124

About Junlin Li

Junlin Li is a scholar working on Genetics, Health, Toxicology and Mutagenesis, Genetics, Molecular Biology and Plant Science, having authored 102 papers that have together received 5.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), Genetics and Neurodevelopmental Disorders (8 papers), Air Quality and Health Impacts (7 papers), Plant Stress Responses and Tolerance (5 papers), Plant Gene Expression Analysis (4 papers), Soil Carbon and Nitrogen Dynamics (4 papers), Plant Molecular Biology Research (4 papers) and Plant nutrient uptake and metabolism (4 papers). The work is most often cited by research in Epidemiology (2.5k citations), Physiology (300 citations), Geriatrics and Gerontology (135 citations), Cell Biology (665 citations) and Molecular Biology (2.5k citations). Junlin Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Binhua Peter Zhou, Yiwei Lin, Jianmin Chen, Lulu Cui, Rui Li, Bernard Mark Evers, Young-In Chi, Chenfang Dong, Xiaofeng Ye and Yadi Wu. Their work appears in journals such as Scientific Reports, Frontiers in Neuroscience, Cancer Medicine, Frontiers in Microbiology and Journal of Controlled Release.

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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