Ker Sin Tan

1.3k citations
13 papers · 962 · 1 hit paper · h-index 12

Impact in

Papers in

Ker Sin Tan

13 papers receiving 944 citations

Ker Sin Tan's Hit Papers

Cellular extrusion bioprinting improves kidney organoid reproducibility and conformation 2020 · 327 citations
3270+2+4Years since publication100200300

Peers

Ker Sin Tan
Comparison fields: 5 of 72
  • Genetics 82
  • Molecular Biology 519
  • Automotive Engineering 92
  • Biomedical Engineering 283
  • Surgery 217
Replace Stella Alimperti with:
Stella Alimperti United States
Jeremy Song United States
Holly Wobma United States
Gabriel González United States
Kynan T. Lawlor Australia
Ilea T. Swinehart United States
Mareike Barth Germany
Nevin Witman Sweden
Micha Sam Brickman Raredon United States
Dmitry Goldshtein Russia
Ker Sin Tan relative to Stella Alimperti United States Stella Alimperti's profile →
Citations per field
00.5×3.1×
Stella Alimperti · 1×
Citations per year

Countries citing papers authored by Ker Sin Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ker Sin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Cellular extrusion bioprinting improves kidney organoid reproducibility and conformation
Hit paper breakdown →
2020327
2 2009114
3 2013102
4 202081
5 201263
6 202261
7 201955
8 201543
9 201942
10 201130
11 202318
12 201817
13 20249

About Ker Sin Tan

Ker Sin Tan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Surgery and Genetics, having authored 13 papers that have together received 962 indexed citations. Recurring topics across this work include Renal and related cancers (7 papers), Renal cell carcinoma treatment (4 papers), Pluripotent Stem Cells Research (4 papers), Genetic and Kidney Cyst Diseases (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Mesenchymal stem cell research (2 papers), Kruppel-like factors research (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Genetics (82 citations), Molecular Biology (519 citations), Automotive Engineering (92 citations), Biomedical Engineering (283 citations) and Surgery (217 citations). Ker Sin Tan has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include Jessica M. Vanslambrouck, Melissa H. Little, Sean B. Wilson, Sara E. Howden, Caroline E. Gargett, Daniela Ulrich, Kynan T. Lawlor, Anna Rosamilia, Stephen L. Pentoney and Sharon C. Presnell. Their work appears in journals such as Journal of the American Society of Nephrology, Nature Protocols, Journal of Virology, Stem Cells and Cell stem cell.

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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