Preetha Madhukumar
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
- BRCA gene mutations in cancer
Papers in
-
- Breast Cancer Treatment Studies 18
- Surgery 15
- Breast Implant and Reconstruction 9
- Co-authors
- Wei Sean Yong (26 shared papers)Benita Kiat Tee Tan (23 shared papers)Yoon Sim Yap (10 shared papers)Raymond Ng (7 shared papers)Kong Wee Ong (15 shared papers)Wen Yee Chay (6 shared papers)Yee Pin Tan (4 shared papers)Gilbert Fan (4 shared papers)
- Journals
- Journal of Clinical Pathology (5 papers)Journal of Clinical Oncology (4 papers)The Breast Journal (3 papers)ANZ Journal of Surgery (3 papers)Cancer Medicine (2 papers)
- Partner nations
- SingaporeAustraliaUnited Kingdom
In The Last Decade
Preetha Madhukumar
35 papers receiving 664 citations
Peers
Comparison fields: 5 of 81
- Genetics 139
- Biological Psychiatry 30
- Cancer Research 173
- Pulmonary and Respiratory Medicine 309
- Oncology 194
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 186 | |
| 2 | 2014 | 93 | |
| 3 | 2012 | 45 | |
| 4 | 2015 | 41 | |
| 5 | 2003 | 40 | |
| 6 | 2015 | 28 | |
| 7 | 2018 | 24 | |
| 8 | 2013 | 21 | |
| 9 | 2019 | 21 | |
| 10 | 2018 | 18 | |
| 11 | 2013 | 17 | |
| 12 | 2004 | 15 | |
| 13 | 2016 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2017 | 14 | |
| 16 | 2013 | 11 | |
| 17 | 2015 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2018 | 10 | |
| 20 | 2021 | 7 |
About Preetha Madhukumar
Preetha Madhukumar is a scholar working on Cancer Research, Surgery, Pathology and Forensic Medicine, Oncology and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 683 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (18 papers), Breast Lesions and Carcinomas (13 papers), Breast Implant and Reconstruction (9 papers), Cancer-related cognitive impairment studies (6 papers), Global Cancer Incidence and Screening (5 papers), BRCA gene mutations in cancer (4 papers), Cancer and Skin Lesions (4 papers) and Cancer survivorship and care (3 papers). The work is most often cited by research in Genetics (139 citations), Biological Psychiatry (30 citations), Cancer Research (173 citations), Pulmonary and Respiratory Medicine (309 citations) and Oncology (194 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 Ng, Kong Wee Ong, Wen Yee Chay, Yee Pin Tan, Gilbert Fan, Alexandre Chan and Wei Ooi. Their work appears in journals such as Journal of Clinical Pathology, Journal of Clinical Oncology, The Breast Journal, ANZ Journal of Surgery and Cancer Medicine.
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.