Colleen Buckless

517 total citations
18 papers, 366 citations indexed

About

Colleen Buckless is a scholar working on Surgery, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Colleen Buckless has authored 18 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Epidemiology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Colleen Buckless's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Bone and Joint Diseases (3 papers). Colleen Buckless is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Bone and Joint Diseases (3 papers). Colleen Buckless collaborates with scholars based in United States, Netherlands and Switzerland. Colleen Buckless's co-authors include Martin Torriani, Robert Hemke, Benjamin Wang, Miriam A. Bredella, Luke S. Oh, Lindsay T. Fourman, Takara L. Stanley, Connie Y. Chang, Hang Lee and Kathleen E. Corey and has published in prestigious journals such as Gastroenterology, Clinical Infectious Diseases and International Journal of Obesity.

In The Last Decade

Colleen Buckless

18 papers receiving 365 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Colleen Buckless United States 10 121 96 78 75 72 18 366
Anja Rieger Germany 10 171 1.4× 117 1.2× 35 0.4× 86 1.1× 17 0.2× 36 476
Monica Ragucci Italy 12 92 0.8× 39 0.4× 29 0.4× 44 0.6× 26 0.4× 22 286
Tae Hun Kim South Korea 12 62 0.5× 161 1.7× 11 0.1× 42 0.6× 83 1.2× 84 456
John Lakoumentas Greece 13 133 1.1× 106 1.1× 120 1.5× 17 0.2× 16 0.2× 64 493
E. Leen United Kingdom 3 107 0.9× 82 0.9× 35 0.4× 103 1.4× 36 0.5× 3 368
HeiShun Yu United States 11 81 0.7× 99 1.0× 18 0.2× 110 1.5× 13 0.2× 20 442
Adam Stangierski Poland 15 26 0.2× 177 1.8× 37 0.5× 58 0.8× 298 4.1× 41 476
Masaaki Nemoto Japan 11 86 0.7× 179 1.9× 11 0.1× 80 1.1× 9 0.1× 42 354
Luca Pio Stoppino Italy 10 93 0.8× 125 1.3× 7 0.1× 45 0.6× 11 0.2× 26 279
Inki Moon South Korea 12 81 0.7× 88 0.9× 17 0.2× 40 0.5× 39 0.5× 36 439

Countries citing papers authored by Colleen Buckless

Since Specialization
Citations

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

Fields of papers citing papers by Colleen Buckless

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colleen Buckless. 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 Colleen Buckless. The network helps show where Colleen Buckless may publish in the future.

Co-authorship network of co-authors of Colleen Buckless

This figure shows the co-authorship network connecting the top 25 collaborators of Colleen Buckless. A scholar is included among the top collaborators of Colleen Buckless 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 Colleen Buckless. Colleen Buckless is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Groot, Olivier Q., Colleen Buckless, P. Twining, et al.. (2024). Opportunistic CT for Prediction of Adverse Postoperative Events in Patients with Spinal Metastases. Diagnostics. 14(8). 844–844. 1 indexed citations
2.
Huber, Florian A., et al.. (2023). Cross-sectional areas of rotator cuff muscles in males without tears on shoulder MRI. Skeletal Radiology. 53(2). 285–291. 1 indexed citations
3.
Chang, Connie Y., et al.. (2023). Original research: utilization of a convolutional neural network for automated detection of lytic spinal lesions on body CTs. Skeletal Radiology. 52(7). 1377–1384. 7 indexed citations
4.
Groot, Olivier Q., Michiel E. R. Bongers, Colleen Buckless, et al.. (2022). Body composition predictors of mortality in patients undergoing surgery for long bone metastases. Journal of Surgical Oncology. 125(5). 916–923. 7 indexed citations
5.
Tenforde, Adam S., Jereme Outerleys, Mary Bouxsein, et al.. (2022). Metatarsal Bone Marrow Edema on Magnetic Resonance Imaging and Its Correlation to Bone Stress Injuries in Male Collegiate Basketball Players. Orthopaedic Journal of Sports Medicine. 10(1). 941668561–941668561. 4 indexed citations
6.
Bongers, Michiel E. R., Olivier Q. Groot, Colleen Buckless, et al.. (2021). Body composition predictors of mortality on computed tomography in patients with spinal metastases undergoing surgical treatment. The Spine Journal. 22(4). 595–604. 9 indexed citations
7.
Thaweethai, Tanayott, Colleen Buckless, Daniel J. Shinnick, et al.. (2021). Body composition predictors of outcome in patients with COVID-19. International Journal of Obesity. 45(10). 2238–2243. 34 indexed citations
8.
9.
Chang, Connie Y., et al.. (2021). Automated detection and segmentation of sclerotic spinal lesions on body CTs using a deep convolutional neural network. Skeletal Radiology. 51(2). 391–399. 23 indexed citations
10.
Bredella, Miriam A., Colleen Buckless, Pouneh K. Fazeli, et al.. (2021). Bone marrow adipose tissue composition following high-caloric feeding and fasting. Bone. 152. 116093–116093. 13 indexed citations
11.
Hemke, Robert, Colleen Buckless, & Martin Torriani. (2020). Quantitative Imaging of Body Composition. Seminars in Musculoskeletal Radiology. 24(4). 375–385. 17 indexed citations
12.
Fourman, Lindsay T., Colleen Buckless, Hang Lee, et al.. (2020). Effect of recombinant human growth hormone on liver fat content in young adults with nonalcoholic fatty liver disease. Clinical Endocrinology. 94(2). 183–192. 31 indexed citations
13.
Sell, Naomi M., Carlos Fernández‐del Castillo, Cristina R. Ferrone, et al.. (2020). 795 NEOADJUVANT THERAPY-INDUCED SARCOPENIA IS ASSOCIATED WITH DECREASED OVERALL SURVIVAL IN PANCREATIC DUCTAL ADENOCARCINOMA. Gastroenterology. 158(6). S–1527. 1 indexed citations
14.
Buckless, Colleen, Brooke Swearingen, Martin Torriani, et al.. (2020). MRI texture analysis in acromegaly and its role in predicting response to somatostatin receptor ligands. Pituitary. 23(3). 212–222. 15 indexed citations
15.
Buckless, Colleen, et al.. (2020). Deep learning method for segmentation of rotator cuff muscles on MR images. Skeletal Radiology. 50(4). 683–692. 48 indexed citations
16.
Fourman, Lindsay T., Takara L. Stanley, Isabel Zheng, et al.. (2020). Clinical Predictors of Liver Fibrosis Presence and Progression in Human Immunodeficiency Virus–Associated Nonalcoholic Fatty Liver Disease. Clinical Infectious Diseases. 72(12). 2087–2094. 23 indexed citations
17.
Stanley, Takara L., Lindsay T. Fourman, Meghan N. Feldpausch, et al.. (2019). Effects of tesamorelin on non-alcoholic fatty liver disease in HIV: a randomised, double-blind, multicentre trial. The Lancet HIV. 6(12). e821–e830. 59 indexed citations
18.
Hemke, Robert, et al.. (2019). Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment. Skeletal Radiology. 49(3). 387–395. 66 indexed citations

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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Rankless by CCL
2026