Naama Bogot

1.6k total citations
50 papers, 1.0k citations indexed

About

Naama Bogot is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Naama Bogot has authored 50 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pulmonary and Respiratory Medicine, 19 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Naama Bogot's work include Lung Cancer Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Advanced X-ray and CT Imaging (6 papers). Naama Bogot is often cited by papers focused on Lung Cancer Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Advanced X-ray and CT Imaging (6 papers). Naama Bogot collaborates with scholars based in Israel, United States and Italy. Naama Bogot's co-authors include Ella A. Kazerooni, Philip N. Cascade, Heang‐Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Ted W. Way, Dorith Shaham, Chuan Zhou, Aamer Chughtai and Allan I. Bloom and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Bone and Joint Surgery and Radiology.

In The Last Decade

Naama Bogot

45 papers receiving 983 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naama Bogot Israel 19 548 515 166 144 98 50 1.0k
Daniel Moses Australia 19 648 1.2× 758 1.5× 177 1.1× 66 0.5× 109 1.1× 81 1.4k
Simone Schiaffino Italy 19 595 1.1× 310 0.6× 127 0.8× 244 1.7× 85 0.9× 76 1.1k
Andrea Ponsiglione Italy 19 635 1.2× 403 0.8× 148 0.9× 73 0.5× 182 1.9× 77 1.1k
Aydın Demircioğlu Germany 16 545 1.0× 186 0.4× 113 0.7× 132 0.9× 168 1.7× 53 861
Michelle Melany United States 14 244 0.4× 212 0.4× 217 1.3× 124 0.9× 91 0.9× 20 873
Aamer Chughtai United States 19 832 1.5× 930 1.8× 207 1.2× 112 0.8× 188 1.9× 66 1.7k
Maurizio Cariati Italy 15 190 0.3× 266 0.5× 233 1.4× 148 1.0× 38 0.4× 93 833
Thomas Weikert Switzerland 16 427 0.8× 173 0.3× 83 0.5× 103 0.7× 144 1.5× 38 759
Marco Moschetta Italy 22 521 1.0× 436 0.8× 430 2.6× 221 1.5× 120 1.2× 85 1.5k
Ju Gang Nam South Korea 19 988 1.8× 517 1.0× 107 0.6× 171 1.2× 241 2.5× 43 1.3k

Countries citing papers authored by Naama Bogot

Since Specialization
Citations

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

Fields of papers citing papers by Naama Bogot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naama Bogot

This figure shows the co-authorship network connecting the top 25 collaborators of Naama Bogot. A scholar is included among the top collaborators of Naama Bogot 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 Naama Bogot. Naama Bogot 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.
Bogot, Naama, Ariel Rokach, Yehudit Cohen, et al.. (2025). A Novel Method Using Dual‐Energy Computed Tomography for Detecting Amiodarone‐Induced Lung Injury: A Cohort Pilot Study. Respirology. 31(3). 276–283.
2.
Rav, Moshe, Yoav Michowitz, Naama Bogot, et al.. (2025). Prediction of Atrial Fibrillation Using Radiomic Features of Left Atrial Epicardial Adipose Tissue on Noncontrast Cardiac Computed Tomography. CJC Open. 7(7). 936–947. 1 indexed citations
3.
Bogot, Naama, et al.. (2024). Post-contrast acute kidney injury in the super-elder patients: a CT-scan perspective. Japanese Journal of Radiology. 43(2). 247–254. 1 indexed citations
4.
Roisman, Laila C., et al.. (2023). Radiological artificial intelligence - predicting personalized immunotherapy outcomes in lung cancer. npj Precision Oncology. 7(1). 25 indexed citations
5.
Bogot, Naama, Yigal Helviz, Lorenzo Ball, et al.. (2023). Distribution of Aeration and Pulmonary Blood Volume in Healthy, ARDS and COVID-19 Lungs: A Dual-Energy Computed Tomography Retrospective Cohort Study. Academic Radiology. 30(11). 2548–2556. 1 indexed citations
6.
Bogot, Naama, et al.. (2021). Diffuse pulmonary calcifications: A case series and review of literature. Respirology Case Reports. 9(10). e0839–e0839. 7 indexed citations
7.
Hasin, Tal, Aryeh Shaleṿ, Max Godfrey, et al.. (2021). Loss of left ventricular rotation is a significant determinant of functional mitral regurgitation. International Journal of Cardiology. 345. 143–149.
8.
Bogot, Naama, et al.. (2019). Complete heart block in lupus. Lupus. 28(13). 1589–1593. 9 indexed citations
9.
10.
Moriel, Mady, et al.. (2014). Extremely high Agatston calcium score without significant coronary artery stenoses. European Heart Journal - Cardiovascular Imaging. 16(3). 346–346. 1 indexed citations
11.
Arish, Nissim, et al.. (2013). The "Tree in bud" pattern on chest CT: Radiologic and microbiologic correlation. European Respiratory Journal. 42(Suppl 57). P2713–P2713.
12.
Leibowitz, David, et al.. (2011). Quantification of Pericardial Effusions by Echocardiography and Computed Tomography. The American Journal of Cardiology. 107(2). 331–335. 12 indexed citations
13.
Shaham, Dorith, Madeline Vazquez, Naama Bogot, Claudia I. Henschke, & David F. Yankelevitz. (2010). CT features of intrapulmonary lymph nodes confirmed by cytology. Clinical Imaging. 34(3). 185–190. 21 indexed citations
14.
Durst, Ronen, Naama Bogot, Dan Gilon, & Benjamin Drenger. (2010). Potential Role for Coronary Computerized Angiography for Assessing Preoperative Ischemic Risk. Journal of Cardiothoracic and Vascular Anesthesia. 24(2). 348–355. 1 indexed citations
15.
Way, Ted W., Berkman Sahiner, Heang‐Ping Chan, et al.. (2009). Computer‐aided diagnosis of pulmonary nodules on CT scans: Improvement of classification performance with nodule surface features. Medical Physics. 36(7). 3086–3098. 114 indexed citations
16.
Arish, Nissim, Roy Eldor, Yakov Fellig, et al.. (2006). Lymphocytic interstitial pneumonia associated with common variable immunodeficiency resolved with intravenous immunoglobulins. Thorax. 61(12). 1096–1097. 22 indexed citations
17.
Roth, Christopher J., Michael B. Sneider, Naama Bogot, Michael Todd, & Paul Cronin. (2006). Dependent Venous Contrast Pooling and Layering: A Sign of Imminent Cardiogenic Shock. American Journal of Roentgenology. 186(4). 1116–1119. 27 indexed citations
18.
Bogot, Naama, Ella A. Kazerooni, Aine Marie Kelly, et al.. (2005). Interobserver and Intraobserver Variability in the Assessment of Pulmonary Nodule Size on CT Using Film and Computer Display Methods1. Academic Radiology. 12(8). 948–956. 52 indexed citations
19.
Sahiner, Berkman, Heang‐Ping Chan, Lubomir M. Hadjiiski, et al.. (2005). Computer‐aided detection of lung nodules: False positive reduction using a 3D gradient field method and 3D ellipsoid fitting. Medical Physics. 32(8). 2443–2454. 63 indexed citations
20.
Bogot, Naama. (2004). Imaging of recurrent lung cancer. Cancer Imaging. 4(2). 61–67. 10 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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