Sakunthala C. Kudahetti
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 3
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- Prostate Cancer Treatment and Research 18
- Prostate Cancer Diagnosis and Treatment 8
- Urology top 10%
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- Cancer-related gene regulation 3
- Molecular Biology Techniques and Applications 2
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- Genital Health and Disease 7
- Testicular diseases and treatments 3
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- Urologic and reproductive health conditions 3
- Co-authors
- Daniel M. BerneyYong‐Jie LuXueying MaoJack CuzickElzbieta StankiewiczR.T.D. OliverLuis BeltránLara K. Boyd
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Sakunthala C. Kudahetti
27 papers receiving 993 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 309
- Pulmonary and Respiratory Medicine 533
- Urology 48
- Molecular Biology 491
- Oncology 169
Countries citing papers authored by Sakunthala C. Kudahetti
This map shows the geographic impact of Sakunthala C. Kudahetti'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 Sakunthala C. Kudahetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sakunthala C. Kudahetti more than expected).
Fields of papers citing papers by Sakunthala C. Kudahetti
This network shows the impact of papers produced by Sakunthala C. Kudahetti. 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 Sakunthala C. Kudahetti. The network helps show where Sakunthala C. Kudahetti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sakunthala C. Kudahetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2022 | 5 | |
| 3 | 2021 | 7 | |
| 4 | 2018 | 5 | |
| 5 | 2018 | 6 | |
| 6 | 2016 | 0 | |
| 7 | 2013 | 88 | |
| 8 | 2012 | 50 | |
| 9 | 2011 | 24 | |
| 10 | 2011 | 1 | |
| 11 | 2010 | 78 | |
| 12 | 2010 | 126 | |
| 13 | 2010 | 106 | |
| 14 | 2010 | 86 | |
| 15 | 2010 | 14 | |
| 16 | 2009 | 106 | |
| 17 | 2009 | 54 | |
| 18 | Ki-67 is an independent predictor of outcome in conservatively treated clinically localised prostate cancer | 2008 | 1 |
| 19 | 2008 | 33 | |
| 20 | 2008 | 3 |
About Sakunthala C. Kudahetti
Sakunthala C. Kudahetti is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Surgery, Periodontics and Rheumatology, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (18 papers), Prostate Cancer Diagnosis and Treatment (8 papers), Genital Health and Disease (7 papers), Testicular diseases and treatments (3 papers), Urologic and reproductive health conditions (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related gene regulation (3 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (309 citations), Pulmonary and Respiratory Medicine (533 citations), Urology (48 citations), Molecular Biology (491 citations) and Oncology (169 citations). Sakunthala C. Kudahetti has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Daniel M. Berney, Yong‐Jie Lu, Xueying Mao, Jack Cuzick, Elzbieta Stankiewicz, R.T.D. Oliver, Luis Beltrán, Lara K. Boyd, Henrik Møller and Yongwei Yu. Their work appears in journals such as Cancer Research, British Journal of Cancer, Modern Pathology, Asian Journal of Andrology and Genes Chromosomes and Cancer.
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.