Puay‐Hoon Tan
- Molecular Biology
- Pathology and Forensic Medicine top 5%
- Cancer Research top 10%
- Surgery
- Dermatology top 2%
- Co-authors
- Boon‐Huat BayThiyagarajan JayabaskarSathiyamoorthy SelvarajanKhoon-Leong ChuahHui‐Kim YapCaroline LeeG.S.C. ChiangChangli Wei
- Topics
- Breast Lesions and Carcinomas (6 papers)Cancer and Skin Lesions (5 papers)Breast Cancer Treatment Studies (3 papers)
- Cited by
- DermatologyNephrologyCancer Research
- Journals
- Nucleic Acids ResearchJournal of the American Society of NephrologyJournal of Histochemistry & Cytochemistry
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Puay‐Hoon Tan
24 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 665
- Pathology and Forensic Medicine 320
- Cancer Research 284
- Surgery 222
- Dermatology 191
Countries citing papers authored by Puay‐Hoon Tan
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 27 | |
| 3 | 28 | |
| 4 | 6 | |
| 5 | 31 | |
| 6 | 14 | |
| 7 | 16 | |
| 8 | 9 | |
| 9 | 26 | |
| 10 | 44 | |
| 11 | 168 | |
| 12 | 46 | |
| 13 | 1 | |
| 14 | 182 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | 69 | |
| 18 | Evaluation of gene expression measurements from commercial microarray platformsbreakdown → | 523 |
| 19 | Primary amyloidosis of the bladder: a case report. | 2 |
| 20 | Breast carcinoma-in-situ: an emerging problem in Singapore. | 3 |
About Puay‐Hoon Tan
Puay‐Hoon Tan is a scholar working on Dermatology, Nephrology and Pathology and Forensic Medicine, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (6 papers), Cancer and Skin Lesions (5 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Dermatology (191 citations), Nephrology (150 citations) and Cancer Research (284 citations). Puay‐Hoon Tan has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Boon‐Huat Bay, Thiyagarajan Jayabaskar, Sathiyamoorthy Selvarajan, Khoon-Leong Chuah, Hui‐Kim Yap, Caroline Lee, G.S.C. Chiang, Changli Wei, Stanley C. Jordan and Li-Kiang Tan. Their work appears in journals such as Nucleic Acids Research, Journal of the American Society of Nephrology and Journal of Histochemistry & Cytochemistry.
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.