Tzu-Ling Tseng
Impact in
-
- Liver physiology and pathology
Papers in
-
- RNA modifications and cancer 2
- Epigenetics and DNA Methylation 1
- Bioinformatics and Genomic Networks 1
-
- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Chi‐Ying F. Huang (3 shared papers)Jin-Mei Lai (2 shared papers)Hsi-Hsien Chen (2 shared papers)Heng Lin (2 shared papers)Kun‐Mao Chao (1 shared paper)Sheng‐An Lee (1 shared paper)Jan‐Gowth Chang (1 shared paper)Yi-Ping Shih (1 shared paper)
- Journals
- General Hospital Psychiatry (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Bioinformatics (1 paper)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Tzu-Ling Tseng
12 papers receiving 315 citations
Peers
Comparison fields: 5 of 61
- Clinical Biochemistry 23
- Hepatology 25
- Cancer Research 38
- Rheumatology 36
- Molecular Biology 166
Countries citing papers authored by Tzu-Ling Tseng
This map shows the geographic impact of Tzu-Ling Tseng'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 Tzu-Ling Tseng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tzu-Ling Tseng more than expected).
Fields of papers citing papers by Tzu-Ling Tseng
This network shows the impact of papers produced by Tzu-Ling Tseng. 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 Tzu-Ling Tseng. The network helps show where Tzu-Ling Tseng may publish in the future.
Co-authors
The 25 scholars most cited alongside Tzu-Ling Tseng, 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 | 2008 | 80 | |
| 2 | Genotypic and phenotypic characterization of a putative tumor susceptibility gene, GNMT, in liver cancer. | 2003 | 67 |
| 3 | 2008 | 46 | |
| 4 | 2013 | 39 | |
| 5 | 2013 | 29 | |
| 6 | 2016 | 16 | |
| 7 | 2020 | 14 | |
| 8 | 2012 | 11 | |
| 9 | 2010 | 11 | |
| 10 | 2007 | 5 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 |
About Tzu-Ling Tseng
Tzu-Ling Tseng is a scholar working on Molecular Biology, Epidemiology, Hepatology, Cancer Research and Infectious Diseases, having authored 12 papers that have together received 320 indexed citations. Recurring topics across this work include Liver physiology and pathology (3 papers), Liver Disease Diagnosis and Treatment (2 papers), RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Antifungal resistance and susceptibility (1 paper), Drug-Induced Hepatotoxicity and Protection (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Clinical Biochemistry (23 citations), Hepatology (25 citations), Cancer Research (38 citations), Rheumatology (36 citations) and Molecular Biology (166 citations). Tzu-Ling Tseng has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chi‐Ying F. Huang, Jin-Mei Lai, Hsi-Hsien Chen, Heng Lin, Kun‐Mao Chao, Sheng‐An Lee, Jan‐Gowth Chang, Yi-Ping Shih, Yi‐Ming Arthur Chen and Yi‐Ren Hong. Their work appears in journals such as General Hospital Psychiatry, Evidence-based Complementary and Alternative Medicine, Bioinformatics, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Biochemical and Biophysical Research Communications.
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.