Preminda Kessar
- Radiology, Nuclear Medicine and Imaging top 5%
- Pathology and Forensic Medicine top 5%
- Cancer Research top 10%
- Oncology top 10%
- Genetics top 10%
- Co-authors
- Ruth WarrenMartin O. LeachA NerurkarSunil R. LakhaniLinda PointonAdrian K. DixonSue MossAnwar R. Padhani
- Topics
- Mitochondrial Function and Pathology (5 papers)MRI in cancer diagnosis (4 papers)Breast Lesions and Carcinomas (4 papers)
- Partner nations
- United KingdomGermanyJapan
In The Last Decade
Preminda Kessar
17 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Radiology, Nuclear Medicine and Imaging 491
- Pathology and Forensic Medicine 318
- Cancer Research 287
- Oncology 269
- Genetics 267
Countries citing papers authored by Preminda Kessar
This map shows the geographic impact of Preminda Kessar'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 Preminda Kessar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preminda Kessar more than expected).
Fields of papers citing papers by Preminda Kessar
This network shows the impact of papers produced by Preminda Kessar. 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 Preminda Kessar. The network helps show where Preminda Kessar may publish in the future.
Co-authorship network of co-authors of Preminda Kessar
This figure shows the co-authorship network connecting the top 25 collaborators of Preminda Kessar. A scholar is included among the top collaborators of Preminda Kessar 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 Preminda Kessar. Preminda Kessar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 17 | |
| 3 | Screening with magnetic resonance imaging and mammography of a UK population at high familial risk of breast cancer: a prospective multicentre cohort study (MARIBS) | 1 |
| 4 | Screening with magnetic resonance imaging and mammography of a UK population at high familial risk of breast cancer: a prospective multicentre cohort study (MARIBS)breakdown → | 765 |
| 5 | Clustering approach for wavelet transformed MR image data | 2 |
| 6 | 13 | |
| 7 | 13 | |
| 8 | 9 | |
| 9 | 14 | |
| 10 | 116 | |
| 11 | 10 | |
| 12 | 62 | |
| 13 | 6 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 27 | |
| 17 | 29 | |
| 18 | 3 |
About Preminda Kessar
Preminda Kessar is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), MRI in cancer diagnosis (4 papers) and Breast Lesions and Carcinomas (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (491 citations), Cancer Research (287 citations) and Pathology and Forensic Medicine (318 citations). Preminda Kessar has collaborated with scholars based in United Kingdom, Germany and Japan. Frequent co-authors include Ruth Warren, Martin O. Leach, A Nerurkar, Sunil R. Lakhani, Linda Pointon, Adrian K. Dixon, Sue Moss, Anwar R. Padhani, Fiona J. Gilbert and Douglas F. Easton. Their work appears in journals such as The Lancet, Biochemical Journal and Biochemical Pharmacology.
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.