I‐Shing Yu

2.6k citations
75 papers · 2.0k · h-index 27

Impact in

Papers in

    • Ion Transport and Channel Regulation 5
    • CRISPR and Genetic Engineering 5
    • RNA Interference and Gene Delivery 4
    • Renal and related cancers 4

I‐Shing Yu

71 papers receiving 2.0k citations

Peers

I‐Shing Yu
Comparison fields: 5 of 105
  • Cancer Research 262
  • Sensory Systems 76
  • Reproductive Medicine 128
  • Molecular Biology 1.1k
  • Cell Biology 191
Replace Gwen Lomberk with:
Gwen Lomberk United States
Jeffrey L. Stock United States
Christophe Poirier United States
Jost Seibler Germany
Benny Motro Israel
Masao Katoh Japan
Kai Schuh Germany
Andrei Molotkov United States
Diana Escalante‐Alcalde Mexico
Gary S. Goldberg United States
I‐Shing Yu relative to Gwen Lomberk United States Gwen Lomberk's profile →
Citations per field
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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 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015144
2 2014122
3 2011117
4 199990
5 200982
6 200777
7 201773
8 201859
9 201753
10 201153
11 201052
12 201246
13 201343
14 200042
15 201142
16 201541
17 202039
18 202238
19 201337
20 201034

About I‐Shing Yu

I‐Shing Yu is a scholar working on Molecular Biology, Immunology, Cell Biology, Genetics and Cancer Research, having authored 75 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sperm and Testicular Function (6 papers), Ion Transport and Channel Regulation (5 papers), Reproductive Biology and Fertility (5 papers), CRISPR and Genetic Engineering (5 papers), Hemophilia Treatment and Research (4 papers), RNA Interference and Gene Delivery (4 papers), Renal and related cancers (4 papers) and Hearing, Cochlea, Tinnitus, Genetics (4 papers). The work is most often cited by research in Cancer Research (262 citations), Sensory Systems (76 citations), Reproductive Medicine (128 citations), Molecular Biology (1.1k citations) and Cell Biology (191 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, Li‐Fan Lu, Alexander Y. Rudensky, Ying‐Hung Lin, Shinichi Uchida, Shih‐Hua Lin, Sei Sasaki, Huey‐Kang Sytwu 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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