Han Lin

1.0k citations
14 papers · 318 · h-index 8

Impact in

Papers in

    • Bioinformatics and Genomic Networks 4
    • Genomics and Phylogenetic Studies 2
    • Gene expression and cancer classification 2
    • Advanced biosensing and bioanalysis techniques 1
    • Genetic Associations and Epidemiology 2
    • Insect and Arachnid Ecology and Behavior 1

Han Lin

14 papers receiving 313 citations

Peers

Han Lin
Comparison fields: 5 of 90
  • Biological Psychiatry 25
  • Insect Science 63
  • Genetics 91
  • Molecular Biology 171
  • Horticulture 2
Replace Thomas Lefebvre with:
Thomas Lefebvre France
Garrett Wong United States
Marios Zouridakis Greece
Tade Souaiaia United States
Scott Barish United States
Nicholas E. Karagas United States
Josée Frappier Canada
Elena V. Kryukova Russia
Aaron Wise United States
Wijit Kiatipattanasakul Japan
Han Lin relative to Thomas Lefebvre France Thomas Lefebvre's profile →
Citations per field
00.5×1.5×2.3×
Thomas Lefebvre · 1×
Citations per year

Countries citing papers authored by Han Lin

Since Specialization
Citations

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

Fields of papers citing papers by Han Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2014119
2 201156
3 201439
4 201323
5 201222
6 201320
7 202113
8 20187
9 20126
10 20135
11 20134
12 20242
13 20241
14 20151

About Han Lin

Han Lin is a scholar working on Molecular Biology, Genetics, Information Systems, Artificial Intelligence and Insect Science, having authored 14 papers that have together received 318 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Genomics and Phylogenetic Studies (2 papers), Insect symbiosis and bacterial influences (2 papers), Genetic Associations and Epidemiology (2 papers), Gene expression and cancer classification (2 papers), Metabolism and Genetic Disorders (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Insect and Arachnid Ecology and Behavior (1 paper). The work is most often cited by research in Biological Psychiatry (25 citations), Insect Science (63 citations), Genetics (91 citations), Molecular Biology (171 citations) and Horticulture (2 citations). Han Lin has collaborated with scholars based in Taiwan, China and Canada. Frequent co-authors include Christopher Childers, Cheng‐Yan Kao, Kevin J. Hackett, Gary Moore, Jun-Wei Lin, Chien‐Yueh Lee, Monica F. Poelchau, Jay D. Evans, Hsueh‐Ting Chu and William Hsiao. Their work appears in journals such as BMC Genomics, Gene, Scientific Reports, BMC Bioinformatics and Bioinformatics.

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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