David S.P. Tan

10.1k total citations · 2 hit papers
181 papers, 5.1k citations indexed

About

David S.P. Tan is a scholar working on Oncology, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, David S.P. Tan has authored 181 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Oncology, 67 papers in Reproductive Medicine and 58 papers in Molecular Biology. Recurrent topics in David S.P. Tan's work include Ovarian cancer diagnosis and treatment (67 papers), PARP inhibition in cancer therapy (35 papers) and Endometrial and Cervical Cancer Treatments (21 papers). David S.P. Tan is often cited by papers focused on Ovarian cancer diagnosis and treatment (67 papers), PARP inhibition in cancer therapy (35 papers) and Endometrial and Cervical Cancer Treatments (21 papers). David S.P. Tan collaborates with scholars based in Singapore, United Kingdom and United States. David S.P. Tan's co-authors include Stan B. Kaye, Stanley B. Kaye, Jorge S. Reis‐Filho, Emma Kipps, Roshan Agarwal, Natalie Y.L. Ngoi, Mitch Dowsett, Alan Mackay, Caterina Marchiò and Rachael Natrajan and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Nature reviews. Cancer.

In The Last Decade

David S.P. Tan

159 papers receiving 5.0k citations

Hit Papers

Meeting the challenge of ascites in ovarian cancer: new a... 2013 2026 2017 2021 2013 2023 100 200 300 400

Peers

David S.P. Tan
Comparison fields: 5 of 137
  • Oncology 2.5k
  • Molecular Biology 2.2k
  • Cancer Research 1.5k
  • Reproductive Medicine 1.3k
  • Genetics 664
Replace Joyce F. Liu with:
Joyce F. Liu United States
Stanley B. Kaye United Kingdom
Paul Haluska United States
Ingo B. Runnebaum Germany
Federica Tomao Italy
Steve E. Kalloger Canada
Stefania Bellone United States
Hal W. Hirte Canada
Gillian Mitchell Australia
Elena Ioana Braicu Germany
Joyce F. Liu United States View profile →
Citations per field, relative to David S.P. Tan
David S.P. Tan · 1×
Citations per year, relative to David S.P. Tan
David S.P. Tan · 1×

Countries citing papers authored by David S.P. Tan

Since Specialization
Citations

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

Fields of papers citing papers by David S.P. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S.P. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of David S.P. Tan. A scholar is included among the top collaborators of David S.P. 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 David S.P. Tan. David S.P. Tan 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
# Work Indexed citations
1 0
2 0
3 2
4 0
5 8
6 0
7 4
8 0
9 5
10 33
11 0
12 0
13 0
14 0
15 1
16 5
17 6
18 19
19 9
20 75

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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