Si‐Tse Jiang
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 6
- Cell Biology top 5%
- Genetics top 10%
- Genetic and Kidney Cyst Diseases 10
- Molecular Biology top 10%
- Renal and related cancers 11
- Ion Transport and Channel Regulation 3
- Neurology top 5%
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- Mollusks and Parasites Studies 4
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- Liver physiology and pathology 3
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- Biomedical Research and Pathophysiology 3
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- Protease and Inhibitor Mechanisms 3
- Co-authors
- Ming‐Jer TangYuan‐Yow ChiouShin‐Chen HouWei‐Cheng ChengC.‐K. James ShenYuting YanHsi‐Hui LinHung Li
- Journals
- Kidney International (6 papers)The Journal of Immunology (3 papers)Scientific Reports (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Si‐Tse Jiang
53 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 111
- Immunology and Allergy 112
- Cell Biology 267
- Genetics 159
- Molecular Biology 977
- Neurology 199
Countries citing papers authored by Si‐Tse Jiang
This map shows the geographic impact of Si‐Tse Jiang'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 Si‐Tse Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si‐Tse Jiang more than expected).
Fields of papers citing papers by Si‐Tse Jiang
This network shows the impact of papers produced by Si‐Tse Jiang. 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 Si‐Tse Jiang. The network helps show where Si‐Tse Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Si‐Tse Jiang, 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 | 2024 | 0 | |
| 2 | 2022 | 3 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 13 | |
| 5 | 2021 | 8 | |
| 6 | 2020 | 13 | |
| 7 | MSX1 induces G0/G1 arrest and apoptosis by suppressing Notch signaling and is frequently methylated in cervical cancer | 2018 | 1 |
| 8 | 2017 | 37 | |
| 9 | 2016 | 14 | |
| 10 | 2016 | 8 | |
| 11 | 2015 | 47 | |
| 12 | 2014 | 3 | |
| 13 | 2013 | 45 | |
| 14 | 2005 | 7 | |
| 15 | 2004 | 26 | |
| 16 | 2002 | 17 | |
| 17 | 2000 | 28 | |
| 18 | 2000 | 68 | |
| 19 | 2000 | 35 | |
| 20 | 1999 | 26 |
About Si‐Tse Jiang
Si‐Tse Jiang is a scholar working on Immunology and Allergy, Genetics and Otorhinolaryngology, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Renal and related cancers (11 papers), Genetic and Kidney Cyst Diseases (10 papers), Cell Adhesion Molecules Research (6 papers), Mollusks and Parasites Studies (4 papers), Liver physiology and pathology (3 papers), Ion Transport and Channel Regulation (3 papers), Biomedical Research and Pathophysiology (3 papers) and Protease and Inhibitor Mechanisms (3 papers). The work is most often cited by research in Immunology and Allergy (112 citations), Cell Biology (267 citations) and Genetics (159 citations). Si‐Tse Jiang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Ming‐Jer Tang, Yuan‐Yow Chiou, Shin‐Chen Hou, Wei‐Cheng Cheng, C.‐K. James Shen, Yuting Yan, Hsi‐Hui Lin, Hung Li, Ming‐Zong Lai and Yu‐Ching Lin. Their work appears in journals such as Kidney International, The Journal of Immunology, Scientific Reports, Human Molecular Genetics and The Journal of Pathology.
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.