Seong-Seng Tan

609 total citations
9 papers, 418 citations indexed

About

Seong-Seng Tan is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Seong-Seng Tan has authored 9 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Seong-Seng Tan's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Genetic Syndromes and Imprinting (1 paper) and Photoreceptor and optogenetics research (1 paper). Seong-Seng Tan is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Genetic Syndromes and Imprinting (1 paper) and Photoreceptor and optogenetics research (1 paper). Seong-Seng Tan collaborates with scholars based in Australia, United States and Japan. Seong-Seng Tan's co-authors include Gillian Morriss‐Kay, Sachiyo Nomura, Hiroyasu Esumi, Franck Polleux, Noriko Osumi, Joanne M. Britto, Masanori Takahashi, Yuji Tsunekawa, Jenny M. Gunnersen and Cheryl Augustine and has published in prestigious journals such as The EMBO Journal, PLoS ONE and Genetics.

In The Last Decade

Seong-Seng Tan

9 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seong-Seng Tan Australia	8	307	136	63	50	49	9	418
Crystal D. Rogers United States	12	404 1.3×	93 0.7×	72 1.1×	57 1.1×	61 1.2×	25	533
Ombretta Pozzoli Italy	12	403 1.3×	101 0.7×	35 0.6×	90 1.8×	48 1.0×	14	526
Carina van Rooijen Netherlands	12	509 1.7×	165 1.2×	31 0.5×	52 1.0×	42 0.9×	13	573
Elizabeth R. Farrell United Kingdom	11	587 1.9×	171 1.3×	33 0.5×	22 0.4×	43 0.9×	12	669
Jens Böse Germany	8	714 2.3×	187 1.4×	52 0.8×	46 0.9×	54 1.1×	8	839
Gloria Kwon United States	6	524 1.7×	110 0.8×	36 0.6×	89 1.8×	24 0.5×	6	586
Mitsuji Maruhashi Japan	8	425 1.4×	105 0.8×	29 0.5×	123 2.5×	72 1.5×	8	586
Mathew P. Dixon Australia	11	726 2.4×	214 1.6×	86 1.4×	20 0.4×	61 1.2×	14	864
Neil Chi United States	4	386 1.3×	89 0.7×	18 0.3×	61 1.2×	62 1.3×	7	499
Hendrik Knoetgen Germany	12	441 1.4×	100 0.7×	31 0.5×	16 0.3×	29 0.6×	15	538

Countries citing papers authored by Seong-Seng Tan

Since Specialization

Citations

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

Fields of papers citing papers by Seong-Seng Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seong-Seng Tan

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

All Works

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9 of 9 papers shown

Marchingo, Julia M., et al.. (2018). The Ubiquitin Ligase Adaptor NDFIP1 Selectively Enforces a CD8+ T Cell Tolerance Checkpoint to High-Dose Antigen. Cell Reports. 24(3). 577–584. 7 indexed citations

Tsunekawa, Yuji, Joanne M. Britto, Masanori Takahashi, et al.. (2012). Cyclin D2 in the basal process of neural progenitors is linked to non‐equivalent cell fates. The EMBO Journal. 31(8). 1879–1892. 86 indexed citations

Ling, King‐Hwa, Chelsee Hewitt, Tim Beißbarth, et al.. (2010). Spatiotemporal Regulation of Multiple Overlapping Sense and Novel Natural Antisense Transcripts at the Nrgn and Camk2n1 Gene Loci during Mouse Cerebral Corticogenesis. Cerebral Cortex. 21(3). 683–697. 32 indexed citations

Gunnersen, Jenny M., Joanna A. Phipps, Vicki E. Hammond, et al.. (2009). Seizure-Related Gene 6 (Sez-6) in Amacrine Cells of the Rodent Retina and the Consequence of Gene Deletion. PLoS ONE. 4(8). e6546–e6546. 8 indexed citations

Augustine, Cheryl, et al.. (2001). Place- and time-dependent expression of mouse sFRP-1 during development of the cerebral neocortex. Mechanisms of Development. 109(2). 395–397. 18 indexed citations

Hemberger, Myriam, Haymo Kurz, Annie Orth, et al.. (2001). Genetic and Developmental Analysis of X-Inactivation in Interspecific Hybrid Mice Suggests a Role for the Y Chromosome in Placental Dysplasia. Genetics. 157(1). 341–348. 24 indexed citations

Nomura, Sachiyo, et al.. (1998). Lineage and Clonal Development of Gastric Glands. Developmental Biology. 204(1). 124–135. 68 indexed citations

Tan, Seong-Seng. (1991). Liver-specific and position-effect expression of a retinol-binding protein-lacZ fusion gene (RBP-lacZ) in transgenic mice. Developmental Biology. 146(1). 24–37. 22 indexed citations

Tan, Seong-Seng & Gillian Morriss‐Kay. (1985). The development and distribution of the cranial neural crest in the rat embryo. Cell and Tissue Research. 240(2). 403–16. 153 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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