Meng-Fu Maxwell Shih

692 citations
15 papers · 520 indexed · h-index 10
Topics
Neurobiology and Insect Physiology Research (5 papers)Complex Network Analysis Techniques (3 papers)Connexins and lens biology (3 papers)
Partner nations
United StatesTaiwanJapan

In The Last Decade

Meng-Fu Maxwell Shih

14 papers receiving 508 citations

Peers

Meng-Fu Maxwell Shih
Comparison fields: 5 of 76
  • Molecular Biology 286
  • Cellular and Molecular Neuroscience 260
  • Genetics 121
  • Cell Biology 74
  • Ecology 63
Replace Sara L. Tobin with:
Sara L. Tobin United States
Stefanie Ryglewski Germany
Balaji Iyengar Canada
Valérie Goguel France
S. Jagadish United States
M. Järvilehto Finland
James D. Manton United Kingdom
Sudipta Saraswati United States
Zhenqing Chen United States
Shixing Zhang China
Meng-Fu Maxwell Shih relative to Sara L. Tobin United States Sara L. Tobin's profile →
Citations per field
00.5×10×15×20×
Sara L. Tobin · 1×
Citations per year

Countries citing papers authored by Meng-Fu Maxwell Shih

Since Specialization
Citations

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

Fields of papers citing papers by Meng-Fu Maxwell Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng-Fu Maxwell 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 Meng-Fu Maxwell Shih. The network helps show where Meng-Fu Maxwell Shih may publish in the future.

Co-authorship network of co-authors of Meng-Fu Maxwell Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Meng-Fu Maxwell Shih. A scholar is included among the top collaborators of Meng-Fu Maxwell Shih based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meng-Fu Maxwell Shih. Meng-Fu Maxwell Shih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 37
2 24
3 79
4 83
5 0
6 7
7 37
8 2
9 28
10
Contribution of calpain Lp82-induced proteolysis to experimental cataractogenesis in mice.
56
11 38
12 86
13 8
14 5
15 30

About Meng-Fu Maxwell Shih

Meng-Fu Maxwell Shih is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 15 papers that have together received 520 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (5 papers), Complex Network Analysis Techniques (3 papers) and Connexins and lens biology (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (260 citations), Cell Biology (74 citations) and Genetics (121 citations). Meng-Fu Maxwell Shih has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include C C Malbon, Ann‐Shyn Chiang, Chia‐Lin Wu, Alfred O. Hero, Pei-Tseng Lee, Thomas R. Shearer, Chiho Fukiage, Jason Sih-Yu Lai, Junetsu Ito and Kounosuke Watabe. Their work appears in journals such as Proceedings of the National Academy of Sciences, Current Biology and Biochemical and Biophysical Research Communications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026