Michael Tsang

6.0k total citations
82 papers, 4.4k citations indexed

About

Michael Tsang is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael Tsang has authored 82 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 25 papers in Cell Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael Tsang's work include Congenital heart defects research (23 papers), Zebrafish Biomedical Research Applications (18 papers) and Developmental Biology and Gene Regulation (12 papers). Michael Tsang is often cited by papers focused on Congenital heart defects research (23 papers), Zebrafish Biomedical Research Applications (18 papers) and Developmental Biology and Gene Regulation (12 papers). Michael Tsang collaborates with scholars based in United States, Italy and China. Michael Tsang's co-authors include Igor B. Dawid, Tetsuhiro Kudoh, Alexander Deiters, Simon C. Watkins, Robert Friesel, Andreas Vogt, Daniel J. Sussman, Maria A Missinato, Won‐Woo Lee and Mingcan Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Michael Tsang

78 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Tsang United States 36 3.3k 976 492 397 364 82 4.4k
Andrea Rossi Germany 28 2.5k 0.8× 684 0.7× 414 0.8× 381 1.0× 248 0.7× 77 3.6k
Frank N. van Leeuwen Netherlands 45 3.3k 1.0× 1.4k 1.4× 353 0.7× 792 2.0× 480 1.3× 112 6.7k
Shun‐ichiro Iemura Japan 35 3.6k 1.1× 1.3k 1.4× 443 0.9× 300 0.8× 294 0.8× 77 4.5k
Dianqing Wu United States 40 3.7k 1.1× 880 0.9× 576 1.2× 812 2.0× 386 1.1× 85 5.3k
Xinmin Li United States 34 3.4k 1.0× 551 0.6× 742 1.5× 319 0.8× 777 2.1× 97 5.1k
Michael B. Gorin United States 40 3.0k 0.9× 415 0.4× 781 1.6× 309 0.8× 359 1.0× 147 5.5k
Patricia J. Gallagher United States 35 2.8k 0.8× 1.2k 1.3× 228 0.5× 419 1.1× 313 0.9× 56 4.0k
Jay W. Schneider United States 29 4.4k 1.3× 406 0.4× 491 1.0× 309 0.8× 502 1.4× 52 5.7k
Aleyde Van Eynde Belgium 27 3.3k 1.0× 511 0.5× 397 0.8× 212 0.5× 472 1.3× 52 3.9k
Andrew Burgess Australia 30 2.8k 0.9× 1.1k 1.2× 230 0.5× 222 0.6× 294 0.8× 71 4.0k

Countries citing papers authored by Michael Tsang

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tsang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Tsang

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Tsang. A scholar is included among the top collaborators of Michael Tsang 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 Michael Tsang. Michael Tsang 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.
Paul, Amit, Wei Feng, Katarzyna M. Kedziora, et al.. (2025). Cited4a limits cardiomyocyte dedifferentiation and proliferation during zebrafish heart regeneration. Development. 152(20).
2.
Missinato, Maria A, et al.. (2023). Foxm1 regulates cardiomyocyte proliferation in adult zebrafish after cardiac injury. Development. 150(6). 11 indexed citations
3.
Brown, Wes, et al.. (2023). Chemically Acylated tRNAs are Functional in Zebrafish Embryos. Journal of the American Chemical Society. 145(4). 2414–2420. 6 indexed citations
4.
Shin, Joseph H., et al.. (2023). Sin3a associated protein 130 kDa, sap130, plays an evolutionary conserved role in zebrafish heart development. Frontiers in Cell and Developmental Biology. 11. 1197109–1197109.
5.
Missinato, Maria A, Elizabeth R. Rochon, Abha Bais, et al.. (2019). Enhancing regeneration after acute kidney injury by promoting cellular dedifferentiation in zebrafish. Disease Models & Mechanisms. 12(4). 22 indexed citations
6.
Tsang, Michael, et al.. (2019). Zebrafish heart regeneration: Factors that stimulate cardiomyocyte proliferation. Seminars in Cell and Developmental Biology. 100. 3–10. 10 indexed citations
7.
Dente, Luciana, Gaia Gestri, Michael Tsang, et al.. (2011). Cloning and developmental expression of zebrafish pdzrn3. The International Journal of Developmental Biology. 55(10-11-12). 989–993. 11 indexed citations
8.
Willaert, Andy, Bert Callewaert, Paul Coucke, et al.. (2011). GLUT10 is required for the development of the cardiovascular system and the notochord and connects mitochondrial function to TGFβ signaling. Human Molecular Genetics. 21(6). 1248–1259. 45 indexed citations
9.
Wang, Guangliang, et al.. (2010). The Rho kinase Rock2b establishes anteroposterior asymmetry of the ciliated Kupffer's vesicle in zebrafish. Development. 138(1). 45–54. 66 indexed citations
10.
Thomas, Kirk R., et al.. (2010). Overlapping functions of Pea3 ETS transcription factors in FGF signaling during zebrafish development. Developmental Biology. 342(1). 11–25. 53 indexed citations
11.
Edeling, Melissa A., Subramaniam Sanker, Takaki Shima, et al.. (2009). Structural Requirements for PACSIN/Syndapin Operation during Zebrafish Embryonic Notochord Development. PLoS ONE. 4(12). e8150–e8150. 37 indexed citations
12.
Peterson, Randall T. & Michael Tsang. (2008). Cell Signaling (Reporters and Chemical Screens). Zebrafish. 5(3). 201–203.
13.
Tsang, Michael, et al.. (2007). Cost of Type 2 Diabetes mellitus in Hong Kong Chinese. International Journal of Clinical Pharmacology and Therapeutics. 45(8). 455–468. 39 indexed citations
14.
Watkins, Simon C., et al.. (2007). Generation of FGF reporter transgenic zebrafish and their utility in chemical screens. BMC Developmental Biology. 7(1). 62–62. 103 indexed citations
15.
Plisov, Sergey, Michael Tsang, Genbin Shi, et al.. (2005). Cited1 Is a Bifunctional Transcriptional Cofactor That Regulates Early Nephronic Patterning. Journal of the American Society of Nephrology. 16(6). 1632–1644. 48 indexed citations
16.
Tsang, Michael, S. Maegawa, Anne Kiang, et al.. (2004). A role for MKP3 in axial patterning of the zebrafish embryo. Development. 131(12). 2769–2779. 106 indexed citations
17.
Tsang, Michael, Robert Friesel, Tetsuhiro Kudoh, & Igor B. Dawid. (2002). Identification of Sef, a novel modulator of FGF signalling. Nature Cell Biology. 4(2). 165–169. 251 indexed citations
18.
Chin, Alvin J., Michael Tsang, & Eric S. Weinberg. (2000). Heart and Gut Chiralities Are Controlled Independently from Initial Heart Position in the Developing Zebrafish. Developmental Biology. 227(2). 403–421. 49 indexed citations
19.
Lijam, Nardos, et al.. (1996). Genomic organization of mouse Dishevelled genes. Gene. 180(1-2). 121–123. 14 indexed citations
20.
Tsang, Michael, et al.. (1996). WNT-mediated relocalization of dishevelled proteins. In Vitro Cellular & Developmental Biology - Animal. 32(7). 441–445. 23 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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