Si‐Tse Jiang

2.5k citations
59 papers · 1.9k · h-index 26

Impact in

Papers in

    • Renal and related cancers 8
    • Epigenetics and DNA Methylation 3
    • Ion Transport and Channel Regulation 3
    • Genetic and Kidney Cyst Diseases 9

Si‐Tse Jiang

58 papers receiving 1.9k citations

Peers

Si‐Tse Jiang
Comparison fields: 5 of 109
  • Immunology and Allergy 108
  • Cell Biology 285
  • Neurology 210
  • Genetics 145
  • Molecular Biology 942
Replace Uwe Michel with:
Uwe Michel Germany
Rehannah Borup Denmark
Akio Masuda Japan
Mary A. Ritter United Kingdom
Benny Motro Israel
Lucile Miquerol France
Lucio Nitsch Italy
Ari Rinne Finland
Jules J.E. Doré United States
Takao Senda Japan
Si‐Tse Jiang relative to Uwe Michel Germany Uwe Michel's profile →
Citations per field
00.5×3.0×
Uwe Michel · 1×
Citations per year

Countries citing papers authored by Si‐Tse Jiang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Si‐Tse Jiang Line = papers co-authored together Si‐Tse Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009208
2 2015185
3 2011117
4 2011103
5 200693
6 199975
7 200068
8 200866
9 199457
10 200956
11 200955
12 201052
13 201548
14 201345
15 201344
16 201140
17 200035
18 201433
19 199832
20 201031

About Si‐Tse Jiang

Si‐Tse Jiang is a scholar working on Molecular Biology, Genetics, Immunology, Surgery and Pathology and Forensic Medicine, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (9 papers), Renal and related cancers (8 papers), Mollusks and Parasites Studies (4 papers), Immune Response and Inflammation (4 papers), Cell Adhesion Molecules Research (4 papers), Biomedical Research and Pathophysiology (3 papers), Epigenetics and DNA Methylation (3 papers) and Ion Transport and Channel Regulation (3 papers). The work is most often cited by research in Immunology and Allergy (108 citations), Cell Biology (285 citations), Neurology (210 citations), Genetics (145 citations) and Molecular Biology (942 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, Yuting Yan, Shin‐Chen Hou, C.‐K. James Shen, Wei‐Cheng Cheng, Hsi‐Hui Lin, Hung Li, Yi‐Ping Hsueh and Chia‐Wen Lin. Their work appears in journals such as Kidney International, The Journal of Immunology, Scientific Reports, Proceedings of the National Academy of Sciences and Human Molecular Genetics.

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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