Lin S. Chen

1.5k citations
4 papers · 41 · h-index 4

Impact in

    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications

Papers in

    • Gene expression and cancer classification 3
    • Metabolomics and Mass Spectrometry Studies 2
    • Bioinformatics and Genomic Networks 1
    • Advanced Proteomics Techniques and Applications 3

Lin S. Chen

4 papers receiving 41 citations

Peers

Lin S. Chen
Comparison fields: 5 of 24
  • Statistics and Probability 9
  • Spectroscopy 13
  • Molecular Biology 28
  • Cancer Research 5
  • Biophysics 2
Replace Beatriz Valcárcel with:
Beatriz Valcárcel United Kingdom
Palina Nepachalovich Germany
Aljona Saleh Sweden
Saveliy Belkin United States
Xander Spotbeen Belgium
Kristján Norland United States
Takuya Habara Japan
Adam Kagel United States
Jacob K. Asiedu United States
Kalpana Panneerselvam United Kingdom
Lin S. Chen relative to Beatriz Valcárcel United Kingdom Beatriz Valcárcel's profile →
Citations per field
00.5×6.5×
Beatriz Valcárcel · 1×
Citations per year

Countries citing papers authored by Lin S. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lin S. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Lin S. Chen, 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 S. Chen Line = papers co-authored together Lin S. Chen links everyone, so they are left out of the graph.

All Works

About Lin S. Chen

Lin S. Chen is a scholar working on Molecular Biology, Spectroscopy, Artificial Intelligence, Environmental Engineering and Statistics and Probability, having authored 4 papers that have together received 41 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Gene expression and cancer classification (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Statistical Methods and Inference (1 paper), Bayesian Methods and Mixture Models (1 paper), Bioinformatics and Genomic Networks (1 paper) and Soil Geostatistics and Mapping (1 paper). The work is most often cited by research in Statistics and Probability (9 citations), Spectroscopy (13 citations), Molecular Biology (28 citations), Cancer Research (5 citations) and Biophysics (2 citations). Lin S. Chen has collaborated with scholars based in United States, South Africa and South Korea. Frequent co-authors include Pei Wang, Ross L. Prentice, Jiebiao Wang, Xianlong Wang, Weiping Ma, Donald Hedeker, Umut Özbek, Chenwei Lin, Sung Won Han and Amanda G. Paulovich. Their work appears in journals such as Biometrics, Biostatistics, The Annals of Applied Statistics and Molecular & Cellular Proteomics.

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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