M. Shih

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

M. Shih

24 papers receiving 1.1k citations

Peers

M. Shih
Comparison fields: 5 of 78
  • Cell Biology 482
  • Clinical Biochemistry 166
  • Molecular Biology 1.0k
  • Physiology 270
  • Ophthalmology 67
Replace Kirsten J. Lampi with:
Kirsten J. Lampi United States
Alejandra Clark United Kingdom
Shigehiro A. Kawashima Japan
Bryan M. Dunyak United States
Bernat Crosas Spain
Quan Zhong United States
Navin Rauniyar United States
Takumi Takata Japan
Shigeo Masaki Japan
Miroslav Nikolov Germany
M. Shih relative to Kirsten J. Lampi United States Kirsten J. Lampi's profile →
Citations per field
00.5×1.7×
Kirsten J. Lampi · 1×
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-authorship network

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
#Work
1 200523
2 20045
3
Different Expression Patterns for Human Css1 and Css2 During Lens Maturation
20031
4 200318
5 200247
6 200198
7 200129
8
Influence of specific regions in Lp82 calpain on protein stability, activity, and localization within lens.
200029
9 199928
10 199937
11 199839
12 199835
13 1998224
14 1997172
15 199710
16 199622
17 19966
18 199528
19 199076
20 198716

About M. Shih

M. Shih is a scholar working on Cell Biology, Physiology, Molecular Biology, Animal Science and Zoology and Periodontics, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Connexins and lens biology (21 papers), Calpain Protease Function and Regulation (16 papers), Heat shock proteins research (8 papers), Biochemical effects in animals (7 papers), Meat and Animal Product Quality (3 papers), Erythrocyte Function and Pathophysiology (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Hemoglobin structure and function (2 papers). The work is most often cited by research in Cell Biology (482 citations), Clinical Biochemistry (166 citations), Molecular Biology (1.0k citations), Physiology (270 citations) and Ophthalmology (67 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, Hong Ma, Jean B. Smith, David L. Smith, 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 Investigative Ophthalmology & Visual Science.

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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