Hsin‐Yi Tseng
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Histone Deacetylase Inhibitors Research 6
- Cell death mechanisms and regulation 6
- Melanoma and MAPK Pathways 5
- PI3K/AKT/mTOR signaling in cancer 4
- Protein Degradation and Inhibitors 3
- Epidemiology 11
- Autophagy in Disease and Therapy 9
- Co-authors
- Xu Dong Zhang (20 shared papers)Lei Jin (16 shared papers)Chen Chen Jiang (13 shared papers)Su Guo (13 shared papers)Kwang Hong Tay (10 shared papers)Peter Hersey (16 shared papers)Amanda Croft (8 shared papers)Rick F. Thorne (5 shared papers)
In The Last Decade
Hsin‐Yi Tseng
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Cancer Research 302
- Cell Biology 234
- Molecular Biology 776
- Immunology 235
- Oncology 210
Countries citing papers authored by Hsin‐Yi Tseng
This map shows the geographic impact of Hsin‐Yi 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 Hsin‐Yi Tseng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin‐Yi Tseng more than expected).
Fields of papers citing papers by Hsin‐Yi Tseng
This network shows the impact of papers produced by Hsin‐Yi 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 Hsin‐Yi Tseng. The network helps show where Hsin‐Yi Tseng may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsin‐Yi 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
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 186 | |
| 2 | 2013 | 77 | |
| 3 | 2015 | 66 | |
| 4 | 2013 | 64 | |
| 5 | 2015 | 58 | |
| 6 | 2012 | 55 | |
| 7 | 2009 | 52 | |
| 8 | 2010 | 49 | |
| 9 | 2013 | 39 | |
| 10 | 2014 | 37 | |
| 11 | 2015 | 37 | |
| 12 | 2014 | 36 | |
| 13 | 2013 | 33 | |
| 14 | 2012 | 32 | |
| 15 | 2016 | 28 | |
| 16 | 2017 | 25 | |
| 17 | 2016 | 25 | |
| 18 | 2017 | 24 | |
| 19 | 2012 | 22 | |
| 20 | 2010 | 22 |
About Hsin‐Yi Tseng
Hsin‐Yi Tseng is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Oncology and Immunology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (9 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Histone Deacetylase Inhibitors Research (6 papers), Cell death mechanisms and regulation (6 papers), Melanoma and MAPK Pathways (5 papers), Immunotherapy and Immune Responses (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Cancer Research (302 citations), Cell Biology (234 citations), Molecular Biology (776 citations), Immunology (235 citations) and Oncology (210 citations). Hsin‐Yi Tseng has collaborated with scholars based in Australia, China and Taiwan. Frequent co-authors include Xu Dong Zhang, Lei Jin, Chen Chen Jiang, Su Guo, Kwang Hong Tay, Peter Hersey, Amanda Croft, Rick F. Thorne, Fritz Lai and Xu Guang Yan. Their work appears in journals such as Pigment Cell & Melanoma Research, Journal of Investigative Dermatology, Oncotarget, Oncogene and Autophagy.
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.