Nan‐Shan Chang

114 papers receiving 3.5k citations

Peers

Nan‐Shan Chang
Comparison fields: 5 of 129
  • Genetics 1.4k
  • Cellular and Molecular Neuroscience 766
  • Immunology and Allergy 209
  • Cell Biology 536
  • Dermatology 248
Replace Nigel J. Brand with:
Nigel J. Brand United Kingdom
Dianqing Wu United States
Daniel J. Schramek Canada
Radovan Dvorský Germany
Julie L. Prior United States
Xiaoyan Sun China
H. Randolph Byers United States
Fernando Larcher Spain
Jörg Walter Bartsch Germany
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Citations per field
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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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001197
2
Latex allergy can induce clinical reactions to specific foods.
1996182
3 1996160
4 2003116
5 2019116
6 2006112
7 2012112
8 2004111
9 2005110
10 200999
11 200479
12 200974
13 201272
14 200369
15 200559
16 200457
17 200455
18 201453
19 200449
20 200949

About Nan‐Shan Chang

Nan‐Shan Chang is a scholar working on Genetics, Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology and Cancer Research, having authored 116 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (41 papers), Nuclear Receptors and Signaling (23 papers), Ubiquitin and proteasome pathways (21 papers), NF-κB Signaling Pathways (12 papers), Proteoglycans and glycosaminoglycans research (10 papers), Cell death mechanisms and regulation (9 papers), Advanced Fluorescence Microscopy Techniques (8 papers) and Moyamoya disease diagnosis and treatment (7 papers). The work is most often cited by research in Genetics (1.4k citations), Cellular and Molecular Neuroscience (766 citations), Immunology and Allergy (209 citations), Cell Biology (536 citations) and Dermatology (248 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 Lloyd Sussman, Donald H. Beezhold, Gary M. Liss, Chun‐I Sze, John K. Heath, Qunying Hong, Shean‐Jen Chen and Nicole L. Pratt. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Experimental Biology and Medicine, Optics Express and Oncotarget.

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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