Brenda F. Kurland

8.5k citations
122 papers · 5.6k · h-index 43

Impact in

    • MRI in cancer diagnosis
    • Medical Imaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • Radiopharmaceutical Chemistry and Applications
    • Advanced MRI Techniques and Applications
  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation

Papers in

Brenda F. Kurland

122 papers receiving 5.4k citations

Peers

Brenda F. Kurland
Comparison fields: 5 of 167
  • Radiology, Nuclear Medicine and Imaging 2.0k
  • Hematology 521
  • Cancer Research 503
  • Statistics and Probability 291
  • Oncology 854
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Citations per field
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Citations per year

Countries citing papers authored by Brenda F. Kurland

Since Specialization
Citations

This map shows the geographic impact of Brenda F. Kurland'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 Brenda F. Kurland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brenda F. Kurland more than expected).

Fields of papers citing papers by Brenda F. Kurland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brenda F. Kurland. 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 Brenda F. Kurland. The network helps show where Brenda F. Kurland may publish in the future.

Co-authors

The 25 scholars most cited alongside Brenda F. Kurland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brenda F. Kurland Line = papers co-authored together Brenda F. Kurland links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014290
2 2011282
3 2009212
4 2001200
5 1995189
6 2013145
7 2010143
8 2010139
9 2009136
10 2009128
11 2003122
12 2008121
13 2011108
14 200797
15 200296
16 201494
17 200588
18 201186
19 201685
20 201184

About Brenda F. Kurland

Brenda F. Kurland is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Molecular Biology, having authored 122 papers that have together received 5.6k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (22 papers), MRI in cancer diagnosis (17 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Breast Cancer Treatment Studies (7 papers), Cancer Treatment and Pharmacology (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), Statistical Methods and Bayesian Inference (6 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.0k citations), Hematology (521 citations), Cancer Research (503 citations), Statistics and Probability (291 citations) and Oncology (854 citations). Brenda F. Kurland has collaborated with scholars based in United States, South Africa and Czechia. Frequent co-authors include Constance D. Lehman, David A. Mankoff, Wendy B. DeMartini, Hannah M. Linden, Peter R. Eby, Savannah C. Partridge, Patrick J. Heagerty, Erin K. Schubert, Catherine E. Snow and Jennifer M. Specht. Their work appears in journals such as Journal of Clinical Oncology, Biology of Blood and Marrow Transplantation, Journal of Nuclear Medicine, Molecular Imaging and Biology and Academic 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.

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