Beatrice S. Knudsen
- Cancer Research top 0.05%
- Molecular Biology top 0.5%
- Molecular Biology Techniques and Applications 14
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research 17
- Oncology top 1%
- Cancer Cells and Metastasis 10
-
- Prostate Cancer Treatment and Research 41
- Prostate Cancer Diagnosis and Treatment 16
-
- AI in cancer detection 18
-
- Radiomics and Machine Learning in Medical Imaging 12
-
- Liver physiology and pathology 11
- Co-authors
- Peter S. NelsonDaniel W. LinMuneesh TewariCharles W. DrescherKathy O'BriantNicole UrbanRobert L. VessellaRachael K. Parkin
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (5 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesSouth AfricaCanada
In The Last Decade
Beatrice S. Knudsen
140 papers receiving 14.0k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Cancer Research 7.2k
- Molecular Biology 9.4k
- Immunology and Allergy 640
- Oncology 2.0k
- Pulmonary and Respiratory Medicine 2.1k
Countries citing papers authored by Beatrice S. Knudsen
This map shows the geographic impact of Beatrice S. Knudsen'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 Beatrice S. Knudsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatrice S. Knudsen more than expected).
Fields of papers citing papers by Beatrice S. Knudsen
This network shows the impact of papers produced by Beatrice S. Knudsen. 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 Beatrice S. Knudsen. The network helps show where Beatrice S. Knudsen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Beatrice S. Knudsen, 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 | 2024 | 4 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 28 | |
| 8 | 2019 | 119 | |
| 9 | 2019 | 6 | |
| 10 | 2018 | 15 | |
| 11 | 2018 | 53 | |
| 12 | 2017 | 20 | |
| 13 | 2016 | 132 | |
| 14 | 2014 | 29 | |
| 15 | 2010 | 43 | |
| 16 | Circulating microRNAs as stable blood-based markers for cancer detectionbreakdown → | 2008 | 6512 |
| 17 | 2007 | 388 | |
| 18 | 2005 | 10 | |
| 19 | 2004 | 19 | |
| 20 | 2001 | 80 |
About Beatrice S. Knudsen
Beatrice S. Knudsen is a scholar working on Immunology and Allergy, Cancer Research and Biophysics, having authored 144 papers that have together received 14.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (41 papers), AI in cancer detection (18 papers), Cell Adhesion Molecules Research (17 papers), Prostate Cancer Diagnosis and Treatment (16 papers), Molecular Biology Techniques and Applications (14 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Liver physiology and pathology (11 papers) and Cancer Cells and Metastasis (10 papers). The work is most often cited by research in Cancer Research (7.2k citations), Molecular Biology (9.4k citations) and Immunology and Allergy (640 citations). Beatrice S. Knudsen has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include Peter S. Nelson, Daniel W. Lin, Muneesh Tewari, Charles W. Drescher, Kathy O'Briant, Nicole Urban, Robert L. Vessella, Rachael K. Parkin, Patrick S. Mitchell and Evan M. Kroh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.