K. Rosenzweig

1.9k total citations
44 papers, 1.5k citations indexed

About

K. Rosenzweig is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, K. Rosenzweig has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pulmonary and Respiratory Medicine, 27 papers in Radiation and 26 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in K. Rosenzweig's work include Advanced Radiotherapy Techniques (27 papers), Lung Cancer Diagnosis and Treatment (20 papers) and Medical Imaging Techniques and Applications (16 papers). K. Rosenzweig is often cited by papers focused on Advanced Radiotherapy Techniques (27 papers), Lung Cancer Diagnosis and Treatment (20 papers) and Medical Imaging Techniques and Applications (16 papers). K. Rosenzweig collaborates with scholars based in United States, France and Belgium. K. Rosenzweig's co-authors include G Mageras, Ellen Yorke, Steven M. Larson, Yusuf E. Erdi, John L. Humm, Charlotte Ling, Sadek A. Nehmeh, Olivia Squire, Heiko Schöder and Brendan D. Price and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

In The Last Decade

K. Rosenzweig

43 papers receiving 1.4k citations

Peers

K. Rosenzweig
K Prado United States
Maddalena Rossi Netherlands
Lise Bentzen Denmark
Ellen M. Kerkhof Netherlands
Thomas J. Dilling United States
Roberto Alonzi United Kingdom
Rosalind Perrin Switzerland
Louise Braban United States
K Prado United States
K. Rosenzweig
Citations per year, relative to K. Rosenzweig K. Rosenzweig (= 1×) peers K Prado

Countries citing papers authored by K. Rosenzweig

Since Specialization
Citations

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

Fields of papers citing papers by K. Rosenzweig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Rosenzweig

This figure shows the co-authorship network connecting the top 25 collaborators of K. Rosenzweig. A scholar is included among the top collaborators of K. Rosenzweig 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 K. Rosenzweig. K. Rosenzweig 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.
Sullivan, Donald R., Juan P. Wisnivesky, Shannon M. Nugent, et al.. (2023). Decision Regret among Patients with Early-stage Lung Cancer Undergoing Radiation Therapy or Surgical Resection. Clinical Oncology. 35(6). e352–e361. 3 indexed citations
2.
Salgado, Lucas Resende, et al.. (2019). Comparison of Pathologic Complete Response Rates and Outcomes in Patients Receiving Neoadjuvant Chemoradiation to 50.4Gy Vs 41.4 Gy in the Treatment of Surgically Resectable Esophageal Cancer. International Journal of Radiation Oncology*Biology*Physics. 105(1). E192–E193. 1 indexed citations
3.
Salgado, Lucas Resende, et al.. (2019). Delays in Radiation Therapy as a Result of Peer to Peer Review Process. International Journal of Radiation Oncology*Biology*Physics. 105(1). E615–E615. 1 indexed citations
4.
Lazarev, Stanislav, et al.. (2018). Stereotactic Body Radiation Therapy for Centrally Located Hepatocellular Carcinoma: Outcomes and Toxicities. International Journal of Radiation Oncology*Biology*Physics. 102(3). e57–e57. 2 indexed citations
5.
Lehrer, Steven, Peter H. Rheinstein, & K. Rosenzweig. (2018). Increased expression of von Willebrand factor gene is associated with poorer survival in primary lower grade glioma. SHILAP Revista de lepidopterología. 1(4). 132–132. 5 indexed citations
6.
Rosenzweig, K. & P. Giraud. (2017). Radiation therapy for malignant pleural mesothelioma. Cancer/Radiothérapie. 21(1). 73–76. 6 indexed citations
7.
Chao, Ming, Sébastien Brousmiche, Yading Yuan, K. Rosenzweig, & Yeh‐Chi Lo. (2015). SU‐D‐207‐01: Markerless Respiratory Motion Tracking with Contrast Enhanced Thoracic Cone Beam CT Projections. Medical Physics. 42(6Part4). 3218–3218. 1 indexed citations
8.
Williams, Eric, J. Belderbos, Walter Bosch, et al.. (2013). Using gEUD to Model Volume Effects for Pneumonitis in Prospective Data From 4 Non-Small Cell Lung Cancer (NSCLC) Dose-Escalation Trials. International Journal of Radiation Oncology*Biology*Physics. 87(2). S45–S45. 1 indexed citations
9.
Yorke, Ellen, et al.. (2012). A study of respiration‐correlated cone‐beam CT scans to correct target positioning errors in radiotherapy of thoracic cancer. Medical Physics. 39(10). 5825–5834. 9 indexed citations
10.
Abdelnour, A. Farras, Sadek A. Nehmeh, Tinsu Pan, et al.. (2007). Phase and amplitude binning for 4D-CT imaging. Physics in Medicine and Biology. 52(12). 3515–3529. 115 indexed citations
11.
Ling, Charlotte, et al.. (2007). SU‐FF‐J‐49: Reducting of Motion Artifacts in Cone Beam CT Using a Patient Specific Respiratory Motion Model. Medical Physics. 34(6Part5). 2379–2379. 2 indexed citations
12.
Pevsner, A., Bradley Moore Davis, Sarang Joshi, et al.. (2006). Evaluation of an automated deformable image matching method for quantifying lung motion in respiration‐correlated CT images. Medical Physics. 33(2). 369–376. 53 indexed citations
13.
Giraud, P., Ellen Yorke, Steve Jiang, et al.. (2006). Reduction of organ motion effects in IMRT and conformal 3D radiation delivery by using gating and tracking techniques. Cancer/Radiothérapie. 10(5). 269–282. 89 indexed citations
14.
Erdi, Yusuf E., Tin-Su Pan, Ellen Yorke, et al.. (2004). Quantitation of respiratory motion during 4D‐PET/CT acquisition. Medical Physics. 31(6). 1333–1338. 187 indexed citations
15.
Nehmeh, Sadek A., Yusuf E. Erdi, Tinsu Pan, et al.. (2004). Four‐dimensional (4D) PET/CT imaging of the thorax. Medical Physics. 31(12). 3179–3186. 277 indexed citations
16.
Mageras, G, A. Pevsner, K. Rosenzweig, et al.. (2004). Measurement of lung tumor motion using respiration-correlated CT. International Journal of Radiation Oncology*Biology*Physics. 60(3). 933–941. 26 indexed citations
17.
Ford, Eric C., G Mageras, Ellen Yorke, et al.. (2002). Evaluation of respiratory movement during gated radiotherapy using film and electronic portal imaging. International Journal of Radiation Oncology*Biology*Physics. 52(2). 522–531. 217 indexed citations
18.
Nehmeh, Sadek A., Yusuf E. Erdi, Charlotte Ling, et al.. (2002). Effect of respiratory gating on reducing lung motion artifacts in PET imaging of lung cancer. Medical Physics. 29(3). 366–371. 228 indexed citations
19.
Sidhu, K., Eric C. Ford, G Mageras, et al.. (2001). Optimization of conformal thoracic radiotherapy plans while using cone-beam CT imaging for treatment verification. International Journal of Radiation Oncology*Biology*Physics. 51(3). 175–176. 1 indexed citations
20.
Giraud, P., K. Rosenzweig, Ellen Yorke, et al.. (2001). Radiotherapy for lung cancer: can IMRT decrease the risk of esophagitis. International Journal of Radiation Oncology*Biology*Physics. 51(3). 355–356. 5 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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