Simon Lin

10.7k citations
72 papers · 5.4k indexed · 3 hit papers · h-index 27
    • Gene expression and cancer classification 13
    • Bioinformatics and Genomic Networks 9
    • Epigenetics and DNA Methylation 5
    • Metabolomics and Mass Spectrometry Studies 4
    • RNA and protein synthesis mechanisms 4
    • Machine Learning in Bioinformatics 3
  • Immunology top 5%
  • Genetics top 5%
    • Genomics and Rare Diseases 3
  • Genetics top 5%
    • Genomics and Rare Diseases 3
    • Advanced Proteomics Techniques and Applications 3

Simon Lin

72 papers receiving 5.4k citations

Hit Papers

ChIPpeakAnno: a Bioconductor package to annotate ChIP-seq...760200620262012201950010001.5k

Peers

Simon Lin
Comparison fields: 5 of 178
  • Molecular Biology 3.3k
  • Cancer Research 606
  • Immunology 643
  • Genetics 288
  • Genetics 698
Replace Michael Hubank with:
Michael Hubank United Kingdom
Jesper Tegnér Sweden
Edward Y. Chen United States
Neil R. Clark United States
Yasushi Okazaki Japan
Akira Sato Japan
Stuart A. Cook United Kingdom
Magnus Åstrand Sweden
Qian Zhu China
Chi Pui Pang Hong Kong
Simon Lin relative to Michael Hubank United Kingdom Michael Hubank's profile →
Citations per field
00.5×1.5×
Michael Hubank · 1×
Citations per year

Countries citing papers authored by Simon Lin

Since Specialization
Citations

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

Fields of papers citing papers by Simon Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 202314
3 202116
4 20138
5 201219
6 201267
7 20116
8 201120
9 200930
10 20092
11 200920
12 200916
13 200819
14
lumi: a pipeline for processing Illumina microarraybreakdown →
20081622
15 2008409
16 200611
17 2005187
18 200565
19 200450
20 200210

About Simon Lin

Simon Lin is a scholar working on Aging, Molecular Biology and Immunology, having authored 72 papers that have together received 5.4k indexed citations. Recurring topics across this work include Gene expression and cancer classification (13 papers), Bioinformatics and Genomic Networks (9 papers), Epigenetics and DNA Methylation (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Rare Diseases (3 papers), Machine Learning in Bioinformatics (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Molecular Biology (3.3k citations), Cancer Research (606 citations) and Immunology (643 citations). Simon Lin has collaborated with scholars based in United States, Austria and China. Frequent co-authors include Pan Du, Warren A. Kibbe, David Lapointe, Nathan D. Lawson, Hervé Pagès, Claude Gazin, Michael R. Green, Lihua Julie Zhu, Wolfgang Huber and Trudy G. Oliver. Their work appears in journals such as PLoS ONE, Bioinformatics, American Journal Of Pathology, Air Quality Atmosphere & Health and Stroke.

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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