Noam Nissan

1.2k total citations
54 papers, 870 citations indexed

About

Noam Nissan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Noam Nissan has authored 54 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in Noam Nissan's work include MRI in cancer diagnosis (35 papers), Advanced Neuroimaging Techniques and Applications (23 papers) and Advanced MRI Techniques and Applications (19 papers). Noam Nissan is often cited by papers focused on MRI in cancer diagnosis (35 papers), Advanced Neuroimaging Techniques and Applications (23 papers) and Advanced MRI Techniques and Applications (19 papers). Noam Nissan collaborates with scholars based in Israel, United States and Netherlands. Noam Nissan's co-authors include Eric E. Sigmund, Habib Rahbar, Savannah C. Partridge, Averi E. Kitsch, Edna Furman‐Haran, Hadassa Degani, Dov Grobgeld, Myra Shapiro‐Feinberg, Miri Sklair‐Levy and Lucio Frydman and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

In The Last Decade

Noam Nissan

51 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noam Nissan Israel 17 691 167 107 102 68 54 870
Kathy R. Brandt United States 12 319 0.5× 149 0.9× 163 1.5× 58 0.6× 196 2.9× 22 845
Duo Liu China 16 230 0.3× 111 0.7× 184 1.7× 48 0.5× 86 1.3× 38 728
Vineet Prakash United Kingdom 12 382 0.6× 104 0.6× 110 1.0× 85 0.8× 52 0.8× 29 582
L. Gill Naul United States 16 299 0.4× 84 0.5× 198 1.9× 100 1.0× 152 2.2× 30 712
Ana María García Vicente Spain 15 441 0.6× 111 0.7× 208 1.9× 40 0.4× 112 1.6× 98 752
Stanley F. Smazal United States 8 796 1.2× 116 0.7× 109 1.0× 441 4.3× 83 1.2× 14 1.1k
Roberta M. Strigel United States 14 415 0.6× 99 0.6× 109 1.0× 145 1.4× 45 0.7× 43 615
L. Diggles United States 17 676 1.0× 188 1.1× 235 2.2× 251 2.5× 92 1.4× 30 902
Liuquan Cheng China 11 474 0.7× 34 0.2× 172 1.6× 50 0.5× 44 0.6× 42 676
Sahaja Acharya United States 18 370 0.5× 129 0.8× 394 3.7× 22 0.2× 79 1.2× 58 999

Countries citing papers authored by Noam Nissan

Since Specialization
Citations

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

Fields of papers citing papers by Noam Nissan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noam Nissan

This figure shows the co-authorship network connecting the top 25 collaborators of Noam Nissan. A scholar is included among the top collaborators of Noam Nissan 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 Noam Nissan. Noam Nissan 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.
Nissan, Noam, Varadan Sevilimedu, Jill S. Gluskin, et al.. (2025). Hormonal Regulation of Background Parenchymal Enhancement at Contrast-enhanced Mammography. Radiology. 314(2). e241158–e241158. 4 indexed citations
2.
Arita, Yuki, Thomas C. Kwee, Ramesh Paudyal, et al.. (2025). Advancements in artificial intelligence for prostate cancer: Optimizing diagnosis, treatment, and prognostic assessment. Asian journal of urology. 12(4). 434–444. 5 indexed citations
3.
Nissan, Noam, Christopher Comstock, Varadan Sevilimedu, et al.. (2024). Diagnostic Accuracy of Screening Contrast-enhanced Mammography for Women with Extremely Dense Breasts at Increased Risk of Breast Cancer. Radiology. 313(1). e232580–e232580. 9 indexed citations
4.
Iima, Mami, Masako Kataoka, Mārtiņš Otikovs, et al.. (2024). Comparing Lesion Conspicuity and ADC Reliability in High-resolution Diffusion-weighted Imaging of the Breast. Magnetic Resonance in Medical Sciences. 24(4). n/a–n/a. 2 indexed citations
5.
Nissan, Noam, Victoria L. Mango, Jill S. Gluskin, et al.. (2024). Non-enhancing asymmetries on screening contrast-enhanced mammography: Is further diagnostic workup required?. European Journal of Radiology. 183. 111883–111883. 1 indexed citations
6.
7.
Nissan, Noam, Arsalan Abu‐Much, David Samoocha, et al.. (2023). Pacemaker in patients undergoing mammography: A limitation for breast cancer diagnosis?. Journal of Medical Imaging and Radiation Oncology. 67(6). 587–594. 3 indexed citations
8.
Otikovs, Mārtiņš, et al.. (2023). Prostate lesions characterization using diffusion‐weighted spatiotemporal encoded MRI: Feasibility and initial assessment. Magnetic Resonance in Medicine. 90(2). 643–654. 1 indexed citations
9.
Nissan, Noam, et al.. (2023). Ultrafast DCE-MRI for discriminating pregnancy-associated breast cancer lesions from lactation related background parenchymal enhancement. European Radiology. 33(11). 8122–8131. 9 indexed citations
10.
Nissan, Noam, Tanir M. Allweis, Ilana Haas, et al.. (2023). Probing lipids relaxation times in breast cancer using magnetic resonance spectroscopic fingerprinting. European Radiology. 33(5). 3744–3753. 2 indexed citations
11.
Otikovs, Mārtiņš, et al.. (2023). Relaxation–Diffusion T2–ADC Correlations in Breast Cancer Patients: A Spatiotemporally Encoded 3T MRI Assessment. Diagnostics. 13(23). 3516–3516. 1 indexed citations
12.
Nissan, Noam, Jill S. Gluskin, Sarah Eskreis‐Winkler, et al.. (2023). Breast MRI in patients with implantable loop recorder: initial experience. European Radiology. 34(1). 155–164. 2 indexed citations
13.
Domachevsky, Liran, et al.. (2021). Background parenchymal enhancement and uptake as breast cancer imaging biomarkers: A state-of-the-art review. Clinical Imaging. 83. 41–50. 21 indexed citations
14.
Nissan, Noam, Vera Sorin, David Samoocha, et al.. (2021). MRI of the Lactating Breast: Computer-Aided Diagnosis False Positive Rates and Background Parenchymal Enhancement Kinetic Features. Academic Radiology. 29(9). 1332–1341. 8 indexed citations
15.
Nissan, Noam, Israel Sandler, Michal Eifer, et al.. (2020). Physiologic and hypermetabolic breast 18-F FDG uptake on PET/CT during lactation. European Radiology. 31(1). 163–170. 10 indexed citations
16.
Nissan, Noam, et al.. (2020). Incidental Detection of COVID-2019 on Magnetic Resonance Imaging.. PubMed. 22(8). 521–522. 1 indexed citations
17.
Abu‐Much, Arsalan, Israel M. Barbash, Victor Guetta, et al.. (2020). Don’t Trust the Imaging. SHILAP Revista de lepidopterología. 2(15). 2339–2343. 2 indexed citations
18.
Nissan, Noam. (2017). Modifications of pancreatic diffusion MRI by tissue characteristics: what are we weighting for?. NMR in Biomedicine. 30(8). 11 indexed citations
19.
Nissan, Noam, et al.. (2014). Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging. Journal of Visualized Experiments. 10 indexed citations
20.
Shapiro‐Feinberg, Myra, et al.. (2012). Clinical results of DTI. European Journal of Radiology. 81. S151–S152. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kathy R. Brandt Breakdown of academic impact, for papers by Duo Liu Breakdown of academic impact, for papers by Vineet Prakash Breakdown of academic impact, for papers by L. Gill Naul Breakdown of academic impact, for papers by Ana María García Vicente Breakdown of academic impact, for papers by Stanley F. Smazal Breakdown of academic impact, for papers by Roberta M. Strigel Breakdown of academic impact, for papers by L. Diggles Breakdown of academic impact, for papers by Liuquan Cheng Breakdown of academic impact, for papers by Sahaja Acharya
Rankless by CCL
2026