Kathleen Brown

2.7k total citations
69 papers, 1.8k citations indexed

About

Kathleen Brown is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Kathleen Brown has authored 69 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Pulmonary and Respiratory Medicine, 20 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Surgery. Recurrent topics in Kathleen Brown's work include Lung Cancer Diagnosis and Treatment (22 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Medical Imaging and Pathology Studies (7 papers). Kathleen Brown is often cited by papers focused on Lung Cancer Diagnosis and Treatment (22 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Medical Imaging and Pathology Studies (7 papers). Kathleen Brown collaborates with scholars based in United States, United Kingdom and Japan. Kathleen Brown's co-authors include Denise R. Aberle, Poonam Batra, Denise R. Aberle, Fereidoun Abtin, Robert D. Suh, Jonathan Goldin, Sophie Chheang, Melissa Suter, Cynthia Shope and Lori Showalter and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American College of Cardiology and Radiology.

In The Last Decade

Kathleen Brown

63 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathleen Brown United States 23 893 513 278 244 199 69 1.8k
Susan Paine United States 27 732 0.8× 704 1.4× 364 1.3× 134 0.5× 265 1.3× 68 2.6k
Lothar Häberle Germany 28 381 0.4× 291 0.6× 251 0.9× 274 1.1× 529 2.7× 105 2.3k
David N. Korones United States 25 403 0.5× 265 0.5× 265 1.0× 238 1.0× 249 1.3× 88 1.9k
Johan Menten Belgium 32 1.0k 1.1× 662 1.3× 237 0.9× 244 1.0× 359 1.8× 100 3.7k
Jean‐François Chateil France 25 324 0.4× 611 1.2× 419 1.5× 248 1.0× 69 0.3× 133 1.9k
Katherine E. Maturen United States 30 621 0.7× 1.1k 2.1× 736 2.6× 199 0.8× 306 1.5× 142 3.4k
Linnea R. Goodman United States 28 673 0.8× 224 0.4× 547 2.0× 172 0.7× 58 0.3× 68 2.3k
Sook‐Young Woo South Korea 31 597 0.7× 220 0.4× 310 1.1× 147 0.6× 247 1.2× 108 2.5k
Eva V. Dubovsky United States 27 1.1k 1.2× 456 0.9× 674 2.4× 135 0.6× 339 1.7× 94 2.7k
Mark Deffebach United States 17 942 1.1× 204 0.4× 163 0.6× 124 0.5× 281 1.4× 36 1.5k

Countries citing papers authored by Kathleen Brown

Since Specialization
Citations

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

Fields of papers citing papers by Kathleen Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathleen Brown

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

All Works

20 of 20 papers shown
1.
2.
Prosper, Ashley E., Kosuke Inoue, Kathleen Brown, et al.. (2021). Association of Inclusion of More Black Individuals in Lung Cancer Screening With Reduced Mortality. JAMA Network Open. 4(8). e2119629–e2119629. 21 indexed citations
3.
Prosper, Ashley E., et al.. (2020). Lung Cancer Screening in African Americans: The Time to Act Is Now. Radiology Imaging Cancer. 2(5). e200107–e200107. 16 indexed citations
4.
Ruchalski, Kathleen & Kathleen Brown. (2016). Lung Cancer Screening Update. Journal of Thoracic Imaging. 31(4). 190–200. 7 indexed citations
5.
Mohammed, Tan-Lucien, Gautham P. Reddy, Judith K. Amorosa, et al.. (2011). ACR Appropriateness Criteria® Screening for Pulmonary Metastases. Journal of Thoracic Imaging. 26(1). W1–W3. 57 indexed citations
6.
Kirsch, Jacobo, Tan-Lucien Mohammed, Judith K. Amorosa, et al.. (2011). ACR Appropriateness Criteria® Acute Respiratory Illness in Immunocompetent Patients. Journal of Thoracic Imaging. 26(2). W42–W44. 15 indexed citations
7.
Wilde, Mary H., Judith Brasch, Kathryn Getliffe, et al.. (2010). Study on the Use of Long-term Urinary Catheters in Community-Dwelling Individuals. Journal of Wound Ostomy and Continence Nursing. 37(3). 301–310. 35 indexed citations
8.
Wu, Carol C., et al.. (2010). Lung Cancer Staging Essentials: The New TNM Staging System and Potential Imaging Pitfalls. Radiographics. 30(5). 1163–1181. 99 indexed citations
9.
Brown, Kathleen. (2009). An Iterative Needs Assessment/Evaluation Model for a Japanese University English-Language Program.. TUScholarShare (Temple University). 2 indexed citations
10.
Fujisawa, N., et al.. (2008). Visualization of scientific arts and some examples of applications. Journal of Visualization. 11(4). 387–394. 3 indexed citations
11.
Aberle, Denise R. & Kathleen Brown. (2008). Lung Cancer Screening with CT. Clinics in Chest Medicine. 29(1). 1–14. 21 indexed citations
12.
Petkovska, Iva, Sumit K. Shah, Michael F. McNitt‐Gray, et al.. (2006). Pulmonary nodule characterization: A comparison of conventional with quantitative and visual semi-quantitative analyses using contrast enhancement maps. European Journal of Radiology. 59(2). 244–252. 38 indexed citations
13.
Shah, Sumit K., Michael F. McNitt‐Gray, James Sayre, et al.. (2005). Solitary pulmonary nodule diagnosis on CT. Academic Radiology. 12(4). 496–501. 23 indexed citations
14.
Giuliano, François, et al.. (1996). Stimulation of the medial preoptic area of the hypothalamus in the rat elicits increases in intracavernous pressure. Neuroscience Letters. 209(1). 1–4. 90 indexed citations
15.
Kimme‐Smith, Carolyn, Denise R. Aberle, J.W. Sayre, et al.. (1995). Effects of reduced exposure on computed radiography: comparison of nodule detection accuracy with conventional and asymmetric screen-film radiographs of a chest phantom.. American Journal of Roentgenology. 165(2). 269–273. 17 indexed citations
16.
Batra, Poonam, et al.. (1995). Comparison of hard- and soft-copy digital chest images with different matrix sizes for managing coronary care unit patients.. American Journal of Roentgenology. 164(4). 837–841. 14 indexed citations
17.
Brown, Kathleen, et al.. (1994). Intrathoracic calcifications: radiographic features and differential diagnoses.. Radiographics. 14(6). 1247–1261. 50 indexed citations
18.
Batra, Poonam, Kathleen Brown, Denise R. Aberle, Duane A. Young, & Richard J. Steckel. (1992). Imaging Techniques in the Evaluation of Pulmonary Parenchymal Neoplasms. CHEST Journal. 101(1). 239–243. 5 indexed citations
19.
Collins, James D., et al.. (1989). Anatomy of the abdomen, back, and pelvis as displayed by magnetic resonance imaging: part three.. PubMed. 81(8). 857–61. 4 indexed citations
20.
Batra, Poonam, et al.. (1988). Evaluation of Intrathoracic Extent of Lung Cancer by Plain Chest Radiography, Computed Tomography, and Magnetic Resonance Imaging. American Review of Respiratory Disease. 137(6). 1456–1462. 15 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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