S S Tan

570 total citations
9 papers, 488 citations indexed

About

S S Tan is a scholar working on Molecular Biology, Genetics and Developmental Neuroscience. According to data from OpenAlex, S S Tan has authored 9 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Developmental Neuroscience. Recurrent topics in S S Tan's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Animal Genetics and Reproduction (3 papers) and CRISPR and Genetic Engineering (2 papers). S S Tan is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Animal Genetics and Reproduction (3 papers) and CRISPR and Genetic Engineering (2 papers). S S Tan collaborates with scholars based in Australia, United States and Japan. S S Tan's co-authors include Gerald M. Edelman, Kathryn L. Crossin, S Hoffman, Thomas E. Finger, Patrick Tam, Martin Begemann, Don Newgreen, Bruce A. Cunningham, Anne L. Prieto and Nobuo Takagi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuroscience Letters and The International Journal of Developmental Biology.

In The Last Decade

S S Tan

9 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S S Tan Australia 8 273 144 123 120 91 9 488
Melissa L. Harris United States 10 359 1.3× 330 2.3× 25 0.2× 80 0.7× 80 0.9× 29 693
Denis Moran United States 11 258 0.9× 205 1.4× 18 0.1× 86 0.7× 43 0.5× 19 458
Nancy E. Paradies United States 8 384 1.4× 117 0.8× 37 0.3× 12 0.1× 28 0.3× 8 476
A. M. Meyer zum Gottesberge Germany 13 112 0.4× 98 0.7× 49 0.4× 40 0.3× 15 0.2× 22 384
Shuichi Obata Japan 15 679 2.5× 212 1.5× 37 0.3× 16 0.1× 66 0.7× 27 828
Nobuko Obara Japan 15 225 0.8× 42 0.3× 14 0.1× 178 1.5× 13 0.1× 37 462
Paul Wakenight United States 6 304 1.1× 117 0.8× 37 0.3× 11 0.1× 93 1.0× 8 467
Antonella Pragliola Italy 9 484 1.8× 40 0.3× 12 0.1× 65 0.5× 486 5.3× 10 958
Viviane Baral France 12 363 1.3× 140 1.0× 10 0.1× 56 0.5× 183 2.0× 14 683
Yuli Watanabe France 11 205 0.8× 67 0.5× 8 0.1× 34 0.3× 121 1.3× 12 426

Countries citing papers authored by S S Tan

Since Specialization
Citations

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

Fields of papers citing papers by S S Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S S Tan

This figure shows the co-authorship network connecting the top 25 collaborators of S S Tan. A scholar is included among the top collaborators of S S Tan 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 S S Tan. S S Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Morley, Steven D., et al.. (2004). Validity of the 21‐OH/LacZTransgenic Mouse as a Model for Studying Adrenocortical Cell Lineage. Endocrine Research. 30(4). 513–519. 4 indexed citations
2.
Takagi, Nobuo, Michihiko Sugimoto, Shinpei Yamaguchi, et al.. (2002). Nonrandom X chromosome inactivation in mouse embryos carrying Searle’s T(X;16)16H translocation visualized using X-linked <i>lacZ</i> and <i>GFP</i> transgenes. Cytogenetic and Genome Research. 99(1-4). 52–58. 13 indexed citations
3.
Sugimoto, Michihiko, S S Tan, & Nobuo Takagi. (2000). X chromosome inactivation revealed by the X-linked lacZ transgene activity in periimplantation mouse embryos. The International Journal of Developmental Biology. 44(2). 177–182. 12 indexed citations
4.
Finger, Thomas E., et al.. (1995). Taste receptor cells arise from local epithelium, not neurogenic ectoderm.. Proceedings of the National Academy of Sciences. 92(6). 1916–1920. 151 indexed citations
5.
Richards, Linda J., Mark Murphy, Renée Dutton, et al.. (1995). Lineage specification of neuronal precursors in the mouse spinal cord.. Proceedings of the National Academy of Sciences. 92(22). 10079–10083. 12 indexed citations
6.
Kilpatrick, Trevor J., Surindar S. Cheema, Simon A. Koblar, S S Tan, & Perry F. Bartlett. (1994). The engraftment of transplanted primary neuroepithelial cells within the postnatal mouse brain. Neuroscience Letters. 181(1-2). 129–133. 10 indexed citations
7.
Tan, S S, Anne L. Prieto, Don Newgreen, Kathryn L. Crossin, & Gerald M. Edelman. (1991). Cytotactin expression in somites after dorsal neural tube and neural crest ablation in chicken embryos.. Proceedings of the National Academy of Sciences. 88(15). 6398–6402. 34 indexed citations
8.
Begemann, Martin, S S Tan, Bruce A. Cunningham, & Gerald M. Edelman. (1990). Expression of chicken liver cell adhesion molecule fusion genes in transgenic mice.. Proceedings of the National Academy of Sciences. 87(22). 9042–9046. 27 indexed citations
9.
Tan, S S, Kathryn L. Crossin, S Hoffman, & Gerald M. Edelman. (1987). Asymmetric expression in somites of cytotactin and its proteoglycan ligand is correlated with neural crest cell distribution.. Proceedings of the National Academy of Sciences. 84(22). 7977–7981. 225 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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