Tsg-Hui Chang

1.2k citations
12 papers · 1.0k · h-index 10

Impact in

Papers in

Tsg-Hui Chang

11 papers receiving 1.0k citations

Peers

Tsg-Hui Chang
Comparison fields: 5 of 91
  • Physiology 137
  • Sensory Systems 74
  • Cellular and Molecular Neuroscience 227
  • Molecular Biology 838
  • Cancer Research 176
Replace Linda Groom with:
Linda Groom United States
Carmen D. Lobatón Spain
Stephanie L. Barrow United Kingdom
Jörg Knapp Germany
Anke Fabian Germany
Robert M. Drummond United Kingdom
Valentina Lissandron Italy
Quang‐Kim Tran United States
Uwe Kirchhefer Germany
George Shapovalov France
Tsg-Hui Chang relative to Linda Groom United States Linda Groom's profile →
Citations per field
00.5×3.8×
Linda Groom · 1×
Citations per year

Countries citing papers authored by Tsg-Hui Chang

Since Specialization
Citations

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

Fields of papers citing papers by Tsg-Hui Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsg-Hui 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 Tsg-Hui Chang. The network helps show where Tsg-Hui Chang may publish in the future.

Co-authors

The 21 scholars most cited alongside Tsg-Hui 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 Tsg-Hui Chang Line = papers co-authored together Tsg-Hui Chang links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Induction of differentiation and apoptosis by ligands of peroxisome proliferator-activated receptor gamma in non-small cell lung cancer.
2000337
2 2002157
3 200892
4 200683
5 199778
6
Enhanced growth inhibition by combination differentiation therapy with ligands of peroxisome proliferator-activated receptor-gamma and inhibitors of histone deacetylase in adenocarcinoma of the lung.
200277
7 201764
8 200563
9 202255
10 201913
11 20221
12 20220

About Tsg-Hui Chang

Tsg-Hui Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Physiology and Electrical and Electronic Engineering, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ion channel regulation and function (9 papers), Neuroscience and Neuropharmacology Research (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Connexins and lens biology (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Adenosine and Purinergic Signaling (2 papers), Advanced Memory and Neural Computing (2 papers) and Yersinia bacterium, plague, ectoparasites research (1 paper). The work is most often cited by research in Physiology (137 citations), Sensory Systems (74 citations), Cellular and Molecular Neuroscience (227 citations), Molecular Biology (838 citations) and Cancer Research (176 citations). Tsg-Hui Chang has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Éva Szabó, Kenton J. Swartz, David H. Hackos, Shai D. Silberberg, Gilberto Soler‐Llavina, Mufeng Li, Valerie W. Hu, Dale W. Laird, Chanhyung Bae and Andrés Jara-Oseguera. Their work appears in journals such as The Journal of General Physiology, Biophysical Journal, The Journal of Cell Biology, Science Advances and Nature Neuroscience.

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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