Lin-ya Tang
Impact in
- Clinical Biochemistry top 5%
- 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
-
- Metabolism and Genetic Disorders 3
- Co-authors
- Lee‐Jun C. Wong (4 shared papers)David Dimmock (3 shared papers)Eric Schmitt (3 shared papers)Chad A. Shaw (1 shared paper)Ellen K. Brundage (1 shared paper)A. Craig Chinault (1 shared paper)S. Lane Rutledge (1 shared paper)Maria Descartes (1 shared paper)
- Journals
- Mitochondrion (2 papers)Neuro-Oncology (1 paper)Journal of Pediatric Gastroenterology and Nutrition (1 paper)Clinical Chemistry (1 paper)Genetics in Medicine (1 paper)
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
Lin-ya Tang
6 papers receiving 185 citations
Peers
Comparison fields: 5 of 41
- Clinical Biochemistry 95
- Molecular Biology 160
- Aging 2
- Biochemistry 6
- Biophysics 4
Countries citing papers authored by Lin-ya Tang
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 102 | |
| 2 | 2009 | 40 | |
| 3 | 2010 | 24 | |
| 4 | 2009 | 13 | |
| 5 | 2009 | 8 | |
| 6 | 2019 | 1 |
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 188 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Metabolism and Genetic Disorders (3 papers), Neonatal Health and Biochemistry (1 paper), Infectious Encephalopathies and Encephalitis (1 paper), Cancer Genomics and Diagnostics (1 paper), Biochemical and Molecular Research (1 paper), Glioma Diagnosis and Treatment (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Clinical Biochemistry (95 citations), Molecular Biology (160 citations), Aging (2 citations), Biochemistry (6 citations) and Biophysics (4 citations). Lin-ya Tang has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Lee‐Jun C. Wong, David Dimmock, Eric Schmitt, Chad A. Shaw, Ellen K. Brundage, A. Craig Chinault, S. Lane Rutledge, Maria Descartes, Yasuo Harigaya and Michiko Nonaka. Their work appears in journals such as Mitochondrion, Neuro-Oncology, Journal of Pediatric Gastroenterology and Nutrition, Clinical Chemistry and Genetics in Medicine.
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.