Nan‐Shan Chang

4.2k citations
114 papers · 3.5k indexed · h-index 33
Topics
Genetics and Neurodevelopmental Disorders (42 papers)Ubiquitin and proteasome pathways (24 papers)Nuclear Receptors and Signaling (23 papers)
Partner nations
United StatesTaiwanIndia

In The Last Decade

Nan‐Shan Chang

112 papers receiving 3.4k citations

Peers

Nan‐Shan Chang
Comparison fields: 5 of 130
  • Molecular Biology 1.9k
  • Genetics 1.4k
  • Cellular and Molecular Neuroscience 766
  • Cell Biology 503
  • Oncology 358
Replace Henry J. Kaplan with:
Henry J. Kaplan United States
Nigel J. Brand United Kingdom
Dennis J. Mitchell United States
Heidi Hahn Germany
H. Randolph Byers United States
Derek Davies United Kingdom
Dianqing Wu United States
Colin Jamora United States
Madelon M. Maurice Netherlands
Paolo Macchi Italy
Nan‐Shan Chang relative to Henry J. Kaplan United States Henry J. Kaplan's profile →
Citations per field
00.5×3.8×
Henry J. Kaplan · 1×
Citations per year

Countries citing papers authored by Nan‐Shan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Nan‐Shan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan‐Shan Chang. 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 Nan‐Shan Chang. The network helps show where Nan‐Shan Chang may publish in the future.

Co-authorship network of co-authors of Nan‐Shan Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Nan‐Shan Chang. A scholar is included among the top collaborators of Nan‐Shan Chang 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 Nan‐Shan Chang. Nan‐Shan Chang 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
#WorkIndexed citations
1 11
2 22
3 1
4 49
5 20
6 71
7 33
8 14
9 9
10 109
11 108
12 16
13 79
14 56
15 14
16 48
17 69
18 191
19 19
20 10

About Nan‐Shan Chang

Nan‐Shan Chang is a scholar working on Genetics, Biophysics and Cellular and Molecular Neuroscience, having authored 114 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (42 papers), Ubiquitin and proteasome pathways (24 papers) and Nuclear Receptors and Signaling (23 papers). The work is most often cited by research in Genetics (1.4k citations), Cellular and Molecular Neuroscience (766 citations) and Immunology and Allergy (254 citations). Nan‐Shan Chang has collaborated with scholars based in United States, Taiwan and India. Frequent co-authors include Li‐Jin Hsu, Lori Schultz, Gordon L. Sussman, Gary M. Liss, Donald H. Beezhold, Chun‐I Sze, John K. Heath, Qunying Hong, Shean-Jen Chen and Shenq‐Shyang Huang. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

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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