S.-S. Tan

631 citations
12 papers · 523 indexed · h-index 9

S.-S. Tan

12 papers receiving 516 citations

Peers

S.-S. Tan
Comparison fields: 5 of 66
  • Developmental Neuroscience 88
  • Cellular and Molecular Neuroscience 168
  • Molecular Biology 408
  • Cell Biology 82
  • Biophysics 26
Replace Ling Pan with:
Ling Pan China
Kristine A. Henningfeld Germany
Jimmy de Melo United States
R. Michael Henke United States
Albert Chesneau France
Seema Agarwala United States
Lucia Brown United States
Amy N. Riesenberg United States
Erin A. Bassett Canada
Andrea S. Viczian United States
S.-S. Tan relative to Ling Pan China Ling Pan's profile →
Citations per field
00.5×1.5×
Ling Pan · 1×
Citations per year

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

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

All Works

12 of 12 papers shown
#Work
1 20251
2 20232
3 200225
4 199998
5 19984
6 199716
7
Transformation of astrocytes in transgenic mice expressing SV40 T antigen under the transcriptional control of the glial fibrillary acidic protein promoter.
199530
8 199596
9 199597
10 199521
11 199313
12 1986120

About S.-S. Tan

S.-S. Tan is a scholar working on Aging, Cellular and Molecular Neuroscience, Immunology and Allergy, Molecular Biology and Cell Biology, having authored 12 papers that have together received 523 indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Neuroscience and Neuropharmacology Research (3 papers), RNA modifications and cancer (2 papers), Retinal Development and Disorders (2 papers), RNA Research and Splicing (2 papers), Developmental Biology and Gene Regulation (2 papers), Adipose Tissue and Metabolism (2 papers) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Developmental Neuroscience (88 citations), Cellular and Molecular Neuroscience (168 citations), Molecular Biology (408 citations), Cell Biology (82 citations) and Biophysics (26 citations). S.-S. Tan has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Benjamin E. Reese, Gillian Morriss‐Kay, Beverly E. Faulkner-Jones, Andrew R. Harvey, Patrick Tam, John F. Bertram, Sibilah Breen, Michelle Walsh, Donald F. Newgreen and Andrew H. Kaye. Their work appears in journals such as Development, American Journal of Physiology-Renal Physiology, The International Journal of Developmental Biology, European Journal of Neuroscience and BMC Oral Health.

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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