Preetha Madhukumar
Impact in
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Cancer, Lipids, and Metabolism
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- Breast Lesions and Carcinomas
Papers in
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- Breast Cancer Treatment Studies 13
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- Breast Lesions and Carcinomas 9
- Co-authors
- Wei Sean Yong (23 shared papers)Benita Kiat Tee Tan (25 shared papers)Yoon Sim Yap (6 shared papers)Raymond Chee Hui Ng (4 shared papers)Kong Wee Ong (16 shared papers)Chow Yin Wong (18 shared papers)Wen-Yee Chay (3 shared papers)Yee Pin Tan (2 shared papers)
- Journals
- Journal of Clinical Pathology (5 papers)Cancers (3 papers)The Breast Journal (3 papers)Breast Cancer Research and Treatment (3 papers)ANZ Journal of Surgery (3 papers)
- Partner nations
- SingaporeAustraliaUnited Kingdom
In The Last Decade
Preetha Madhukumar
43 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Cancer Research 286
- Pathology and Forensic Medicine 280
- Dermatology 127
- Pulmonary and Respiratory Medicine 403
- Genetics 108
Countries citing papers authored by Preetha Madhukumar
This map shows the geographic impact of Preetha Madhukumar'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 Preetha Madhukumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preetha Madhukumar more than expected).
Fields of papers citing papers by Preetha Madhukumar
This network shows the impact of papers produced by Preetha Madhukumar. 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 Preetha Madhukumar. The network helps show where Preetha Madhukumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Preetha Madhukumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 201 | |
| 2 | 2015 | 180 | |
| 3 | 2014 | 107 | |
| 4 | 2015 | 88 | |
| 5 | 2021 | 72 | |
| 6 | 2003 | 51 | |
| 7 | 2012 | 47 | |
| 8 | 2019 | 45 | |
| 9 | 2015 | 44 | |
| 10 | 2015 | 32 | |
| 11 | 2018 | 28 | |
| 12 | 2022 | 26 | |
| 13 | 2019 | 25 | |
| 14 | 2021 | 24 | |
| 15 | 2013 | 21 | |
| 16 | 2018 | 20 | |
| 17 | 2013 | 18 | |
| 18 | 2021 | 17 | |
| 19 | 2004 | 16 | |
| 20 | 2021 | 16 |
About Preetha Madhukumar
Preetha Madhukumar is a scholar working on Cancer Research, Pathology and Forensic Medicine, Dermatology, Surgery and Oncology, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (13 papers), Breast Lesions and Carcinomas (9 papers), Breast Implant and Reconstruction (7 papers), Cancer and Skin Lesions (4 papers), BRCA gene mutations in cancer (4 papers), Cancer-related cognitive impairment studies (3 papers), Global Cancer Incidence and Screening (3 papers) and Salivary Gland Tumors Diagnosis and Treatment (3 papers). The work is most often cited by research in Cancer Research (286 citations), Pathology and Forensic Medicine (280 citations), Dermatology (127 citations), Pulmonary and Respiratory Medicine (403 citations) and Genetics (108 citations). Preetha Madhukumar has collaborated with scholars based in Singapore, Australia and United Kingdom. Frequent co-authors include Wei Sean Yong, Benita Kiat Tee Tan, Yoon Sim Yap, Raymond Chee Hui Ng, Kong Wee Ong, Chow Yin Wong, Wen-Yee Chay, Yee Pin Tan, Gilbert Kam Tong Fan and Rebecca Alexandra Dent. Their work appears in journals such as Journal of Clinical Pathology, Cancers, The Breast Journal, Breast Cancer Research and Treatment and ANZ Journal of Surgery.
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.