Puay‐Hoon Tan

3.2k citations
25 papers · 2.1k indexed · 2 hit papers · h-index 19
Topics
Urinary and Genital Oncology Studies (9 papers)Bladder and Urothelial Cancer Treatments (8 papers)Urological Disorders and Treatments (6 papers)

In The Last Decade

Puay‐Hoon Tan

25 papers receiving 2.1k citations

Hit Papers

Breast cancer prognostic classification in the molecular ...201020262015202020102010200400600

Peers

Puay‐Hoon Tan
Comparison fields: 5 of 102
  • Molecular Biology 843
  • Cancer Research 819
  • Oncology 727
  • Pulmonary and Respiratory Medicine 490
  • Surgery 427
Replace S. Aaltomaa with:
S. Aaltomaa Finland
Tuomas Mirtti Finland
Henning Reis Germany
Guido Bellezza Italy
Anne E. Kiltie United Kingdom
Bo Dai China
Urs Wagner Switzerland
Milton W. Datta United States
Herbert F.M. Karthaus Netherlands
Sarah Minner Germany
Puay‐Hoon Tan relative to S. Aaltomaa Finland S. Aaltomaa's profile →
Citations per field
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S. Aaltomaa · 1×
Citations per year

Countries citing papers authored by Puay‐Hoon Tan

Since Specialization
Citations

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

Fields of papers citing papers by Puay‐Hoon Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Puay‐Hoon Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Puay‐Hoon Tan. A scholar is included among the top collaborators of Puay‐Hoon 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 Puay‐Hoon Tan. Puay‐Hoon 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
#WorkIndexed citations
1 34
2 18
3 107
4 7
5 131
6 28
7 70
8 13
9
Basal-like and triple-negative breast cancers: a critical review with an emphasis on the implications for pathologists and oncologistsbreakdown →
506
10
Breast cancer prognostic classification in the molecular era: the role of histological gradebreakdown →
648
11 14
12 27
13 62
14 30
15 28
16 44
17 54
18 49
19 118
20 3

About Puay‐Hoon Tan

Puay‐Hoon Tan is a scholar working on Urology, Cancer Research and Surgery, having authored 25 papers that have together received 2.1k indexed citations. Recurring topics across this work include Urinary and Genital Oncology Studies (9 papers), Bladder and Urothelial Cancer Treatments (8 papers) and Urological Disorders and Treatments (6 papers). The work is most often cited by research in Cancer Research (819 citations), Oncology (727 citations) and Urology (153 citations). Puay‐Hoon Tan has collaborated with scholars based in Singapore, United States and Italy. Frequent co-authors include Sunil Badve, Gary M. Tse, Stephen B. Fox, Andrea L. Richardson, Vincenzo Eusebi, Stuart J. Schnitt, Thomas Decker, Emad A. Rakha, Sunil R. Lakhani and José Palacios. Their work appears in journals such as Clinical Cancer Research, The American Journal of Surgical Pathology and Human Pathology.

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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