Lin-ya Tang

490 citations
6 papers · 187 · h-index 5

Impact in

    • Metabolism and Genetic Disorders
    • Mitochondrial Function and Pathology
    • ATP Synthase and ATPases Research
    • Metabolomics and Mass Spectrometry Studies
    • RNA modifications and cancer
    • Molecular Biology Techniques and Applications

Papers in

    • Mitochondrial Function and Pathology 4
    • Biochemical and Molecular Research 1
    • RNA and protein synthesis mechanisms 1
    • ATP Synthase and ATPases Research 1
    • Metabolism and Genetic Disorders 5

Lin-ya Tang

6 papers receiving 184 citations

Peers

Lin-ya Tang
Comparison fields: 5 of 44
  • Clinical Biochemistry 118
  • Molecular Biology 169
  • Aging 2
  • Hepatology 7
  • Biochemistry 6
Replace Yukiko Yatsuka with:
Yukiko Yatsuka Japan
Ping Chun Wu United States
William Lee Australia
Jose Carlo United States
Tatiana Krylova Russia
Tom Hofste Netherlands
Marietta Truger Germany
Flávia Piazzon Brazil
Rocío Rius Australia
Vibha Patil Australia
Lin-ya Tang relative to Yukiko Yatsuka Japan Yukiko Yatsuka's profile →
Citations per field
00.5×7.5×
Yukiko Yatsuka · 1×
Citations per year

Countries citing papers authored by Lin-ya Tang

Since Specialization
Citations

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

Fields of papers citing papers by Lin-ya Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2010101
2 200940
3 201024
4 200913
5 20098
6 20191

About Lin-ya Tang

Lin-ya Tang is a scholar working on Molecular Biology, Clinical Biochemistry, Infectious Diseases, Genetics and Pediatrics, Perinatology and Child Health, having authored 6 papers that have together received 187 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (5 papers), Mitochondrial Function and Pathology (4 papers), Cancer Genomics and Diagnostics (1 paper), Genomics and Rare Diseases (1 paper), Neonatal Health and Biochemistry (1 paper), Biochemical and Molecular Research (1 paper), RNA and protein synthesis mechanisms (1 paper) and ATP Synthase and ATPases Research (1 paper). The work is most often cited by research in Clinical Biochemistry (118 citations), Molecular Biology (169 citations), Aging (2 citations), Hepatology (7 citations) and Biochemistry (6 citations). Lin-ya Tang has collaborated with scholars based in United States, Taiwan and France. Frequent co-authors include Lee‐Jun C. Wong, Eric Schmitt, David Dimmock, A. Craig Chinault, Ellen K. Brundage, Chad A. Shaw, Maria Descartes, S. Lane Rutledge, Chia‐Wei Liou and Tatsuya Fujii. Their work appears in journals such as Mitochondrion, Genetics in Medicine, Clinical Chemistry, Neuro-Oncology and Journal of Pediatric Gastroenterology and Nutrition.

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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