Shih‐hsin Kan

1.3k total citations
47 papers, 873 citations indexed

About

Shih‐hsin Kan is a scholar working on Physiology, Molecular Biology and Rheumatology. According to data from OpenAlex, Shih‐hsin Kan has authored 47 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Physiology, 11 papers in Molecular Biology and 11 papers in Rheumatology. Recurrent topics in Shih‐hsin Kan's work include Lysosomal Storage Disorders Research (29 papers), Glycogen Storage Diseases and Myoclonus (10 papers) and Cellular transport and secretion (6 papers). Shih‐hsin Kan is often cited by papers focused on Lysosomal Storage Disorders Research (29 papers), Glycogen Storage Diseases and Myoclonus (10 papers) and Cellular transport and secretion (6 papers). Shih‐hsin Kan collaborates with scholars based in United States, United Kingdom and India. Shih‐hsin Kan's co-authors include Andrew O.M. Wilkie, David Johnson, Ans M.W. van den Ouweland, Susannah J. Patey, Ben C.J. Hamel, Patricia Dickson, Henk Giele, Grant Gallagher, Steven Q. Le and Grazia M.S. Mancini and has published in prestigious journals such as Journal of Biological Chemistry, Brain and Scientific Reports.

In The Last Decade

Shih‐hsin Kan

40 papers receiving 860 citations

Peers

Shih‐hsin Kan
Comparison fields: 5 of 75
  • Molecular Biology 415
  • Genetics 337
  • Physiology 253
  • Cell Biology 106
  • Developmental Biology 99
Replace Sumita Danda with:
Sumita Danda India
Lakshmi Mehta United States
Katarina Lehmann Germany
Andreas Dufke Germany
Dorothea Bornholdt Germany
Luís Garcia Alonso Brazil
Nisha Patel Saudi Arabia
Luitgard Graul‐Neumann Germany
Aleksander Jamsheer Poland
P. Gallano Spain
Sumita Danda India View profile →
Citations per field, relative to Shih‐hsin Kan
Shih‐hsin Kan · 1×
Citations per year, relative to Shih‐hsin Kan
Shih‐hsin Kan · 1×

Countries citing papers authored by Shih‐hsin Kan

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐hsin Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shih‐hsin Kan

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐hsin Kan. A scholar is included among the top collaborators of Shih‐hsin Kan 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 Shih‐hsin Kan. Shih‐hsin Kan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 3
4 0
5 0
6 7
7 3
8 2
9 3
10 10
11 11
12 6
13 15
14 14
15 0
16 19
17 28
18 27
19 76
20 140

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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