I‐Shing Yu

2.6k citations
72 papers · 1.9k · h-index 26

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Ion Transport and Channel Regulation
    • Ion channel regulation and function
    • RNA Research and Splicing

Papers in

I‐Shing Yu

68 papers receiving 1.9k citations

Peers

I‐Shing Yu
Comparison fields: 5 of 105
  • Cancer Research 292
  • Molecular Biology 1.2k
  • Sensory Systems 80
  • Reproductive Medicine 131
  • Cell Biology 200
Replace Gwen Lomberk with:
Gwen Lomberk United States
Chaker N. Adra United States
Christophe Poirier United States
Kazumasa Morita Japan
Jeffrey L. Stock United States
Benny Motro Israel
Joell L. Solan United States
Diana Escalante‐Alcalde Mexico
Laura L. Mitic United States
Mugen Liu China
I‐Shing Yu relative to Gwen Lomberk United States Gwen Lomberk's profile →
Citations per field
00.5×1.5×
Gwen Lomberk · 1×
Citations per year

Countries citing papers authored by I‐Shing Yu

Since Specialization
Citations

This map shows the geographic impact of I‐Shing Yu'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 I‐Shing Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Shing Yu more than expected).

Fields of papers citing papers by I‐Shing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I‐Shing Yu. 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 I‐Shing Yu. The network helps show where I‐Shing Yu may publish in the future.

Co-authors

The 25 scholars most cited alongside I‐Shing Yu, 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 I‐Shing Yu Line = papers co-authored together I‐Shing Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015144
2 2014120
3 2011117
4 199990
5 200980
6 200777
7 201768
8 201857
9 201153
10 201752
11 201051
12 201246
13 201343
14 201142
15 200041
16 201539
17 201338
18 202038
19 202234
20 201033

About I‐Shing Yu

I‐Shing Yu is a scholar working on Molecular Biology, Immunology, Cell Biology, Genetics and Cancer Research, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Reproductive Biology and Fertility (5 papers), Sperm and Testicular Function (5 papers), Ion Transport and Channel Regulation (5 papers), Liver physiology and pathology (4 papers), Pancreatic function and diabetes (4 papers), Hemophilia Treatment and Research (4 papers) and Renal and related cancers (4 papers). The work is most often cited by research in Cancer Research (292 citations), Molecular Biology (1.2k citations), Sensory Systems (80 citations), Reproductive Medicine (131 citations) and Cell Biology (200 citations). I‐Shing Yu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Shu‐Wha Lin, Shu‐Rung Lin, Alexander Y. Rudensky, Li‐Fan Lu, Shih‐Hua Lin, Shinichi Uchida, Ying‐Hung Lin, Huey‐Kang Sytwu, Sei Sasaki and Pan‐Chyr Yang. Their work appears in journals such as PLoS ONE, Nature Communications, Scientific Reports, Thrombosis and Haemostasis and International Journal of Molecular Sciences.

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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