Chris I. Flowers
- Cancer Research top 5%
- Breast Cancer Treatment Studies 4
- Otorhinolaryngology top 5%
- Oncology top 10%
- Global Cancer Incidence and Screening 10
- Colorectal Cancer Screening and Detection 6
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- Radiomics and Machine Learning in Medical Imaging 2
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- Digital Radiography and Breast Imaging 5
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- AI in cancer detection 8
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- Breast Lesions and Carcinomas 5
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- BRCA gene mutations in cancer 3
- Co-authors
- Karla KerlikowskeDiana L. MigliorettiBonnie C. YankaskasRebecca A. HubbardWeiwei ZhuJennifer S. DrukteinisRobert A. GatenbyBlaise Mooney
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Chris I. Flowers
22 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 86
- Cancer Research 349
- Otorhinolaryngology 66
- Oncology 412
- Radiology, Nuclear Medicine and Imaging 247
- Pulmonary and Respiratory Medicine 322
Countries citing papers authored by Chris I. Flowers
This map shows the geographic impact of Chris I. Flowers'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 Chris I. Flowers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris I. Flowers more than expected).
Fields of papers citing papers by Chris I. Flowers
This network shows the impact of papers produced by Chris I. Flowers. 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 Chris I. Flowers. The network helps show where Chris I. Flowers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chris I. Flowers, 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 | 6 | |
| 2 | 2020 | 9 | |
| 3 | 2017 | 5 | |
| 4 | 2016 | 44 | |
| 5 | 2014 | 11 | |
| 6 | 2013 | 31 | |
| 7 | 2013 | 156 | |
| 8 | 2012 | 14 | |
| 9 | 2012 | 43 | |
| 10 | 2012 | 11 | |
| 11 | 2012 | 10 | |
| 12 | 2012 | 5 | |
| 13 | 2012 | 2 | |
| 14 | 2011 | 21 | |
| 15 | 2011 | 302 | |
| 16 | 2011 | 88 | |
| 17 | 2009 | 179 | |
| 18 | 2009 | 53 | |
| 19 | Clinician Inter-rater Reliability Using a Medical Wound Imaging System | 2008 | 11 |
| 20 | 2006 | 42 |
About Chris I. Flowers
Chris I. Flowers is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (10 papers), AI in cancer detection (8 papers), Colorectal Cancer Screening and Detection (6 papers), Breast Lesions and Carcinomas (5 papers), Digital Radiography and Breast Imaging (5 papers), Breast Cancer Treatment Studies (4 papers), BRCA gene mutations in cancer (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Cancer Research (349 citations), Otorhinolaryngology (66 citations) and Oncology (412 citations). Chris I. Flowers has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Karla Kerlikowske, Diana L. Miglioretti, Bonnie C. Yankaskas, Rebecca A. Hubbard, Weiwei Zhu, Jennifer S. Drukteinis, Robert A. Gatenby, Blaise Mooney, Dan H. Moore and Laura J. Esserman. Their work appears in journals such as Annals of Internal Medicine, Cancer Research and Radiology.
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.