Ten‐Yang Yen

1.3k citations
36 papers · 1.1k indexed · h-index 17

Impact in

Papers in

    • Advanced Proteomics Techniques and Applications 16
    • Mass Spectrometry Techniques and Applications 12
    • Analytical Chemistry and Chromatography 2
    • Glycosylation and Glycoproteins Research 8
    • Metabolomics and Mass Spectrometry Studies 6
    • RNA and protein synthesis mechanisms 3
    • Machine Learning in Bioinformatics 2

Ten‐Yang Yen

36 papers receiving 1.1k citations

Peers

Ten‐Yang Yen
Comparison fields: 5 of 98
  • Molecular Medicine 132
  • Endocrinology 81
  • Spectroscopy 250
  • Microbiology 69
  • Molecular Biology 743
Replace Nestor Solis with:
Nestor Solis Canada
Heath E. Klock United States
Hiroshige Tsuzuki Japan
Marc Vanhove Belgium
Ingo P. Korndörfer Germany
Guido R. Hartmann Germany
Tanya R. Mealy United States
Mark W. Knuth United States
Wei Mi China
Ten‐Yang Yen relative to Nestor Solis Canada Nestor Solis's profile →
Citations per field
00.5×4.6×
Nestor Solis · 1×
Citations per year

Countries citing papers authored by Ten‐Yang Yen

Since Specialization
Citations

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

Fields of papers citing papers by Ten‐Yang Yen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ten‐Yang Yen. 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 Ten‐Yang Yen. The network helps show where Ten‐Yang Yen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20176
2 20138
3 201343
4 20138
5 201128
6 200928
7 2008105
8 200838
9 200769
10 20069
11 20056
12 200330
13 200315
14 200151
15 200032
16 200054
17 200027
18 199941
19 1997258
20 199627

About Ten‐Yang Yen

Ten‐Yang Yen is a scholar working on Spectroscopy, Molecular Biology, Microbiology, Molecular Medicine and Cell Biology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (16 papers), Mass Spectrometry Techniques and Applications (12 papers), Glycosylation and Glycoproteins Research (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers), RNA and protein synthesis mechanisms (3 papers), Machine Learning in Bioinformatics (2 papers), Analytical Chemistry and Chromatography (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Molecular Medicine (132 citations), Endocrinology (81 citations), Spectroscopy (250 citations), Microbiology (69 citations) and Molecular Biology (743 citations). Ten‐Yang Yen has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Bruce A. Macher, Hui Yan, Keith E. Mostov, Dara W. Frank, Vicky Vallas, Haruko Miyazaki, Teiji Sawa, Suzanne M. J. Fleiszig, J. P. Wiener-Kronish and Claudia A. McDonald. Their work appears in journals such as Journal of Biological Chemistry, Journal of Mass Spectrometry, Journal of Proteome Research, Infection and Immunity and Journal of the American Society for Mass Spectrometry.

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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