Jay Chang

2.8k total citations · 1 hit paper
20 papers, 2.1k citations indexed

About

Jay Chang is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jay Chang has authored 20 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jay Chang's work include TGF-β signaling in diseases (8 papers), Renal and related cancers (4 papers) and Genetic factors in colorectal cancer (4 papers). Jay Chang is often cited by papers focused on TGF-β signaling in diseases (8 papers), Renal and related cancers (4 papers) and Genetic factors in colorectal cancer (4 papers). Jay Chang collaborates with scholars based in United States, Hungary and Cameroon. Jay Chang's co-authors include Jeffery L. Twiss, Ki‐Baik Hahm, Shin-Geon Choi, Dianna E. Willis, Bai Lu, Seong‐Jin Kim, Carol J. Thiele, Young-Hyuck Im, Poul H. Sorensen and Ka Wan Li and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jay Chang

19 papers receiving 2.1k citations

Hit Papers

Disrupted-In-Schizophrenia 1 Regulates Integration of New... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jay Chang United States 17 1.4k 505 401 289 275 20 2.1k
Francesco Bifari Italy 25 879 0.6× 333 0.7× 252 0.6× 410 1.4× 122 0.4× 55 2.3k
Linda K. Long United States 13 1.2k 0.8× 1.0k 2.0× 436 1.1× 447 1.5× 117 0.4× 13 2.4k
Shuhong Huang China 22 1.1k 0.8× 379 0.8× 269 0.7× 144 0.5× 155 0.6× 61 1.6k
Ilaria T. Cavarretta Italy 26 839 0.6× 490 1.0× 527 1.3× 177 0.6× 99 0.4× 49 2.2k
Daniela Virgintino Italy 30 862 0.6× 400 0.8× 346 0.9× 215 0.7× 75 0.3× 94 2.3k
Travis L. Biechele United States 24 2.6k 1.9× 442 0.9× 310 0.8× 180 0.6× 98 0.4× 31 3.4k
Peter H. Larsen Canada 19 762 0.5× 433 0.9× 393 1.0× 244 0.8× 190 0.7× 28 2.1k
L. Julie Huber United States 15 1.2k 0.8× 955 1.9× 296 0.7× 365 1.3× 86 0.3× 17 2.2k
Jacqueline L. Vanderluit Canada 25 1.2k 0.8× 366 0.7× 354 0.9× 305 1.1× 78 0.3× 33 1.8k
Mariella Errede Italy 27 861 0.6× 273 0.5× 338 0.8× 169 0.6× 106 0.4× 75 2.1k

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-authorship network of co-authors of Jay Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Chang. A scholar is included among the top collaborators of Jay 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 Jay Chang. Jay 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
1.
Short, Brian, et al.. (2017). Toxicology Evaluation of Drugs Administered via Uncommon Routes: Intranasal, Intraocular, Intrathecal/Intraspinal, and Intra-Articular. International Journal of Toxicology. 37(1). 4–27. 55 indexed citations
2.
3.
Doshi, Bharat T., et al.. (2015). Mobile geolocation techniques for location-aware emergency response services. 2. 1618–1623. 1 indexed citations
4.
Anderson, Kenneth E., et al.. (2010). Duckweed as a Feed Ingredient in Laying Hen Diets and its Effect on Egg Production and Composition. International Journal of Poultry Science. 10(1). 4–7. 54 indexed citations
5.
Duan, Xin, Jay Chang, Shaoyu Ge, et al.. (2007). Disrupted-In-Schizophrenia 1 Regulates Integration of Newly Generated Neurons in the Adult Brain. Cell. 130(6). 1146–1158. 503 indexed citations breakdown →
6.
Niekerk, Erna A. van, Dianna E. Willis, Jay Chang, et al.. (2007). Sumoylation in axons triggers retrograde transport of the RNA-binding protein La. Proceedings of the National Academy of Sciences. 104(31). 12913–12918. 92 indexed citations
7.
Chang, Jay, Deepika Vuppalanchi, Erna van Niekerk, et al.. (2006). PC12 cells regulate inducible cyclic AMP (cAMP) element repressor expression to differentially control cAMP response element‐dependent transcription in response to nerve growth factor and cAMP. Journal of Neurochemistry. 99(6). 1517–1530. 13 indexed citations
8.
Twiss, Jeffery L., Jay Chang, & N. Carolyn Schanen. (2006). Pathophysiological Mechanisms for Actions of the Neurotrophins. Brain Pathology. 16(4). 320–332. 45 indexed citations
9.
Willis, Dianna E., Ka Wan Li, Jay Chang, et al.. (2005). Differential Transport and Local Translation of Cytoskeletal, Injury-Response, and Neurodegeneration Protein mRNAs in Axons. Journal of Neuroscience. 25(4). 778–791. 328 indexed citations
10.
Lu, Bai & Jay Chang. (2004). Regulation of neurogenesis by neurotrophins: implications in hippocampus-dependent memory. PubMed. 1(4). 377–384. 26 indexed citations
11.
Espineda, Cromwell E., Jay Chang, Jeffery L. Twiss, Sigrid A. Rajasekaran, & Ayyappan K. Rajasekaran. (2003). Repression of Na,K-ATPase β1-Subunit by the Transcription Factor Snail in Carcinoma. Molecular Biology of the Cell. 15(3). 1364–1373. 86 indexed citations
12.
Chang, Jay, Eric A. Mellon, N. Carolyn Schanen, & Jeffery L. Twiss. (2003). Persistent TrkA Activity Is Necessary to Maintain Transcription in Neuronally Differentiated PC12 Cells. Journal of Biological Chemistry. 278(44). 42877–42885. 41 indexed citations
13.
Kundu, Shilajit, Isaac Yi Kim, T.Y. Yang, et al.. (2000). Absence of proximal duct apoptosis in the ventral prostate of transgenic mice carrying the C3(1)-TGF-? type II dominant negative receptor. The Prostate. 43(2). 118–124. 27 indexed citations
15.
Engel, Jason D., Shilajit Kundu, T.Y. Yang, et al.. (1999). Transforming growth factor-beta type II receptor confers tumor suppressor activity in murine renal carcinoma (renca) cells. Urology. 54(1). 164–170. 20 indexed citations
16.
Hahm, Ki‐Baik, Young-Hyuck Im, Jay Chang, et al.. (1999). Repression of the gene encoding the TGF-β type II receptor is a major target of the EWS-FLI1 oncoprotein. Nature Genetics. 23(2). 222–227. 302 indexed citations
17.
Grady, William M., Lois L. Myeroff, Sandra E. Swinler, et al.. (1999). Mutational inactivation of transforming growth factor beta receptor type II in microsatellite stable colon cancers.. PubMed. 59(2). 320–4. 307 indexed citations
18.
Choi, Shin-Geon, Youngsuk Yi, Yong-Seok Kim, et al.. (1998). A Novel ets-related Transcription Factor, ERT/ESX/ESE-1, Regulates Expression of the Transforming Growth Factor-β Type II Receptor. Journal of Biological Chemistry. 273(1). 110–117. 100 indexed citations
19.
Chang, Jay, et al.. (1997). Expression of transforming growth factor beta type II receptor reduces tumorigenicity in human gastric cancer cells.. PubMed. 57(14). 2856–9. 72 indexed citations
20.
Kim, David H., et al.. (1997). Mechanism of E1A-Induced Transforming Growth Factor-β (TGF-β) Resistance in Mouse Keratinocytes Involves Repression of TGF-β Type II Receptor Transcription. Journal of Biological Chemistry. 272(1). 688–694. 34 indexed citations

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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