Jay Chang

20 papers receiving 2.4k citations

Peers

Jay Chang
Comparison fields: 5 of 95
  • Developmental Neuroscience 273
  • Cellular and Molecular Neuroscience 361
  • Psychiatry and Mental health 304
  • Molecular Biology 903
  • Pulmonary and Respiratory Medicine 205
Replace Travis L. Biechele with:
Travis L. Biechele United States
John F. Bechberger Canada
Lisa Chakrabarti United Kingdom
Jingli Cai United States
Kory R. Johnson United States
Guangyu Gu United States
Frans W. Verheijen Netherlands
Serena Gea Giannelli Italy
Rolf Knoth Germany
Christoph Wießner Switzerland
Jay Chang relative to Travis L. Biechele United States Travis L. Biechele's profile →
Citations per field
00.5×2×3×4×4.7×
Travis L. Biechele · 1×
Citations per year

Countries citing papers authored by Jay Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jay Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2007539
2 2005342
3
Mutational inactivation of transforming growth factor beta receptor type II in microsatellite stable colon cancers.
1999328
4 1999314
5 2009216
6 1998100
7 200794
8 200389
9
Expression of transforming growth factor beta type II receptor reduces tumorigenicity in human gastric cancer cells.
199774
10 201767
11 201061
12 200647
13 200046
14 200341
15 199734
16 200032
17 200427
18 199922
19 200613
20 20243

About Jay Chang

Jay Chang is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Small Animals and Immunology, having authored 20 papers that have together received 2.5k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (8 papers), Nerve injury and regeneration (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), RNA Research and Splicing (2 papers), Animal testing and alternatives (2 papers), Immunotoxicology and immune responses (2 papers), RNA and protein synthesis mechanisms (1 paper) and Schizophrenia research and treatment (1 paper). The work is most often cited by research in Developmental Neuroscience (273 citations), Cellular and Molecular Neuroscience (361 citations), Psychiatry and Mental health (304 citations), Molecular Biology (903 citations) and Pulmonary and Respiratory Medicine (205 citations). Jay Chang has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Jeffery L. Twiss, Ki‐Baik Hahm, Shin-Geon Choi, Dianna E. Willis, Bai Lu, Seong‐Jin Kim, Carol J. Thiele, Seong‐Jin Kim, Young‐Hyuck Im and Poul H. B. Sorensen. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine, Molecular Biology of the Cell, Journal of Neurochemistry and The Prostate.

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