Lin Lin

3.8k citations
97 papers · 1.9k · h-index 26

Impact in

    • Plant Virus Research Studies
    • Plant-Microbe Interactions and Immunity
    • Postharvest Quality and Shelf Life Management
    • Plant Molecular Biology Research
    • Plant and Fungal Interactions Research

Papers in

    • Plant Virus Research Studies 27
    • Plant Pathogenic Bacteria Studies 7
    • Chromosomal and Genetic Variations 7
    • Plant Molecular Biology Research 6
    • Single-cell and spatial transcriptomics 8

Lin Lin

91 papers receiving 1.8k citations

Peers

Lin Lin
Comparison fields: 5 of 163
  • Plant Science 863
  • Endocrinology 108
  • Modeling and Simulation 75
  • Animal Science and Zoology 145
  • Infectious Diseases 224
Replace Jiang Du with:
Jiang Du China
Chih‐Yu Chen Taiwan
Aditya Prasad Dash India
Harm van Bakel United States
Yuan Jiang China
Qingmei Han China
Akhtar Ali United States
Fang Wang China
Shuling Yan China
Lin Lin relative to Jiang Du China Jiang Du's profile →
Citations per field
00.5×2.8×
Jiang Du · 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 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201599
2 202189
3 202388
4 201671
5 201470
6 201967
7 201566
8 201465
9 200862
10 202162
11 201357
12 200854
13 201251
14 200649
15 200847
16 201244
17 201144
18 202140
19 202238
20 200937

About Lin Lin

Lin Lin is a scholar working on Plant Science, Molecular Biology, Artificial Intelligence, Genetics and Immunology, having authored 97 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plant Virus Research Studies (27 papers), Single-cell and spatial transcriptomics (8 papers), Plant Pathogenic Bacteria Studies (7 papers), Bayesian Methods and Mixture Models (7 papers), Plant and Fungal Interactions Research (7 papers), Chromosomal and Genetic Variations (7 papers), Plant Molecular Biology Research (6 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Plant Science (863 citations), Endocrinology (108 citations), Modeling and Simulation (75 citations), Animal Science and Zoology (145 citations) and Infectious Diseases (224 citations). Lin Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianping Chen, Fei Yan, Hongying Zheng, Yuwen Lu, Huaguang Lu, Baogang Wang, Jiejun Peng, Yi Tang, Patricia A. Dunn and Eva Wallner-Pendleton. Their work appears in journals such as Archives of Virology, Molecular Plant Pathology, Virus Research, International Journal of Molecular Sciences and PLoS Computational Biology.

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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