M. Shih

1.4k citations
24 papers · 1.2k · h-index 18

Impact in

Papers in

    • Connexins and lens biology 18
    • Heat shock proteins research 6
    • Calpain Protease Function and Regulation 12
    • Hemoglobin structure and function 2

M. Shih

24 papers receiving 1.2k citations

Peers

M. Shih
Comparison fields: 5 of 77
  • Cell Biology 400
  • Clinical Biochemistry 117
  • Molecular Biology 995
  • Physiology 215
  • Ophthalmology 64
Replace Bryan M. Dunyak with:
Bryan M. Dunyak United States
Quan Zhong United States
Navin Rauniyar United States
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Ilektra Kouranti France
Miroslav Nikolov Germany
Elena L. Rudashevskaya Austria
Troy A. A. Harkness Canada
Mickaël M. Cohen France
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Citations per field
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Citations per year

Countries citing papers authored by M. Shih

Since Specialization
Citations

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

Fields of papers citing papers by M. Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Shih. 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 M. Shih. The network helps show where M. Shih may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998244
2 1997186
3 1993108
4 2001100
5
Lens proteomics: analysis of rat crystallin sequences and two-dimensional electrophoresis map.
200284
6 199081
7 200247
8 199839
9 199937
10
Cleavage of beta crystallins during maturation of bovine lens.
199836
11 199835
12 200130
13
Influence of specific regions in Lp82 calpain on protein stability, activity, and localization within lens.
200029
14 199528
15 199928
16 200523
17 199623
18 200318
19 198716
20 198610

About M. Shih

M. Shih is a scholar working on Molecular Biology, Cell Biology, Physiology, Genetics and Animal Science and Zoology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Connexins and lens biology (18 papers), Calpain Protease Function and Regulation (12 papers), Heat shock proteins research (6 papers), Biochemical effects in animals (4 papers), Meat and Animal Product Quality (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Hemoglobin structure and function (2 papers). The work is most often cited by research in Cell Biology (400 citations), Clinical Biochemistry (117 citations), Molecular Biology (995 citations), Physiology (215 citations) and Ophthalmology (64 citations). M. Shih has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Thomas R. Shearer, Kirsten J. Lampi, Larry L. David, Chiho Fukiage, Jean B. Smith, David L. Smith, Hong Ma, L.L. David, Larry L. David and Miyuki Azuma. Their work appears in journals such as Experimental Eye Research, Current Eye Research, Journal of Biological Chemistry, Molecular & Cellular Proteomics and Ophthalmic Research.

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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