Long Lin

931 citations
28 papers · 623 · h-index 11

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion
    • Plant Pathogens and Fungal Diseases

Papers in

    • Plant-Microbe Interactions and Immunity 14
    • Plant Pathogenic Bacteria Studies 8
    • Plant Pathogens and Resistance 6
    • Bacterial biofilms and quorum sensing 4

Long Lin

25 papers receiving 616 citations

Peers

Long Lin
Comparison fields: 5 of 74
  • Aging 143
  • Cell Biology 166
  • Epidemiology 286
  • Physiology 30
  • Plant Science 202
Replace A.M. Childress with:
A.M. Childress United States
Alena Pichová Czechia
Ju Guan China
Johnny Roosen Belgium
Chikako Arai Japan
K Niimi Japan
Huanhu Zhu China
Elena N. Kozhevnikova Russia
Qinyang Jiang China
Carmen Ruger-Herreros Germany
Long Lin relative to A.M. Childress United States A.M. Childress's profile →
Citations per field
00.5×10.6×
A.M. Childress · 1×
Citations per year

Countries citing papers authored by Long Lin

Since Specialization
Citations

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

Fields of papers citing papers by Long Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011177
2 2015118
3 201359
4 201758
5 202147
6 201822
7 202118
8 202317
9 198916
10 202214
11 201710
12 20219
13 20238
14 20207
15 20207
16 20236
17 20236
18 20216
19 20245
20 20254

About Long Lin

Long Lin is a scholar working on Plant Science, Molecular Biology, Cell Biology, Aging and Epidemiology, having authored 28 papers that have together received 623 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (14 papers), Plant Pathogenic Bacteria Studies (8 papers), Plant Pathogens and Resistance (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Bacterial biofilms and quorum sensing (4 papers), Autophagy in Disease and Therapy (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Plant Pathogens and Fungal Diseases (2 papers). The work is most often cited by research in Aging (143 citations), Cell Biology (166 citations), Epidemiology (286 citations), Physiology (30 citations) and Plant Science (202 citations). Long Lin has collaborated with scholars based in China, Taiwan and Hungary. Frequent co-authors include Hong Zhang, Qun Lu, Peiguo Yang, Xinxin Huang, Wanqiu Hu, Bin Guo, Fan Wu, Li Yu, Guoliang Qian and Danyu Shen. Their work appears in journals such as Frontiers in Microbiology, Molecular Plant Pathology, Computational and Structural Biotechnology Journal, Phytopathology Research and The Journal of Cell 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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