Michal Guindy

905 total citations
25 papers, 444 citations indexed

About

Michal Guindy is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Michal Guindy has authored 25 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 9 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Michal Guindy's work include Global Cancer Incidence and Screening (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and AI in cancer detection (4 papers). Michal Guindy is often cited by papers focused on Global Cancer Incidence and Screening (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and AI in cancer detection (4 papers). Michal Guindy collaborates with scholars based in Israel, United Kingdom and United States. Michal Guindy's co-authors include Aviva Fattal‐Valevski, Michal Rosen‐Zvi, Ella Barkan, Varda Shalev, Michal Chorev, Adam Spiro, Tanir M. Allweis, Rinat Bernstein‐Molho, Yoram Greenstein and Nathanel Zelnik and has published in prestigious journals such as Radiology, Annals of Oncology and Vaccine.

In The Last Decade

Michal Guindy

24 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michal Guindy Israel	10	165	133	101	66	64	25	444
Jeevesh Kapur Singapore	12	169 1.0×	84 0.6×	29 0.3×	75 1.1×	76 1.2×	34	477
Kensuke Matsushita France	13	94 0.6×	27 0.2×	63 0.6×	47 0.7×	56 0.9×	60	523
Ohad Oren United States	11	147 0.9×	48 0.4×	130 1.3×	68 1.0×	79 1.2×	31	638
Dominik Soll Germany	8	51 0.3×	70 0.5×	29 0.3×	30 0.5×	87 1.4×	16	349
Eduardo Kaiser Ururahy Nunes Fonseca Brazil	11	124 0.8×	43 0.3×	54 0.5×	77 1.2×	23 0.4×	84	515
Enrico Longato Italy	12	48 0.3×	65 0.5×	116 1.1×	69 1.0×	8 0.1×	31	880
Joseph B. Leader United States	13	88 0.5×	52 0.4×	21 0.2×	31 0.5×	18 0.3×	23	748
Yimin Qu China	10	66 0.4×	75 0.6×	32 0.3×	24 0.4×	20 0.3×	39	339
David Martin United States	12	58 0.4×	35 0.3×	124 1.2×	131 2.0×	12 0.2×	31	630
Fahad Al‐Muhanna Saudi Arabia	10	94 0.6×	75 0.6×	24 0.2×	17 0.3×	195 3.0×	31	599

Countries citing papers authored by Michal Guindy

Since Specialization

Citations

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

Fields of papers citing papers by Michal Guindy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Guindy

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

All Works

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20 of 20 papers shown

Roux, Alexandra, Francesca Di Stefano, David French, et al.. (2025). Acceptability of risk-based breast cancer screening among professionals and healthcare providers from 6 countries contributing to the MyPeBS study. BMC Cancer. 25(1). 483–483.

Ozery-Flato, Michal, et al.. (2023). Impact of the COVID-19 Pandemic on Clinical Findings in Medical Imaging Exams in a Nationwide Israeli Health Organization: Observational Study. JMIR Formative Research. 7. e42930–e42930. 1 indexed citations

Brodov, Yafim, Joseph Shemesh, Gabriel Chodick, et al.. (2023). Calcium score of the entire thoracic aorta is an independent predictor of all-cause mortality in patients referred to chest computed tomography. The International Journal of Cardiovascular Imaging. 40(1). 177–183. 3 indexed citations

Chorev, Michal, Adam Spiro, Ella Evron, et al.. (2023). Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment. PubMed. 2022. 385–394. 2 indexed citations

Tlusty, Tsvi, et al.. (2022). Virtual Biopsy by Using Artificial Intelligence–based Multimodal Modeling of Binational Mammography Data. Radiology. 306(3). e220027–e220027. 10 indexed citations

Ozery-Flato, Michal, et al.. (2022). Predictive and Causal Analysis of No-Shows for Medical Exams During COVID-19: A Case Study of Breast Imaging in a Nationwide Israeli Health Organization. PubMed Central. 1 indexed citations

Reychav, Iris, et al.. (2022). Development of a mobile training app to assist radiographers’ diagnostic assessments. Health Informatics Journal. 28(2). 1197569156–1197569156. 2 indexed citations

Roux, Alexandra, Jonathan Sicsic, Nora Moumjid, et al.. (2022). Study protocol comparing the ethical, psychological and socio-economic impact of personalised breast cancer screening to that of standard screening in the “My Personal Breast Screening” (MyPeBS) randomised clinical trial. BMC Cancer. 22(1). 507–507. 47 indexed citations

Born, Jannis, David Beymer, Deepta Rajan, et al.. (2021). On the role of artificial intelligence in medical imaging of COVID-19. Patterns. 2(6). 100269–100269. 38 indexed citations

10.

Allweis, Tanir M., et al.. (2021). Personalized Screening for Breast Cancer: Rationale, Present Practices, and Future Directions. Annals of Surgical Oncology. 28(8). 4306–4317. 34 indexed citations

11.

Born, Jannis, David Beymer, Deepta Rajan, et al.. (2021). On the role of artificial intelligence in medical imaging of COVID-19. Patterns. 2(8). 100330–100330. 11 indexed citations

12.

Hod, Keren, et al.. (2021). The Pattern of Use of PET/CT Scans in the Clinical Management of Chronic Lymphocytic Leukemia. Clinical Lymphoma Myeloma & Leukemia. 21(8). 558–563. 2 indexed citations

13.

Goldshtein, Inbal, Orna Shamai‐Lubovitz, Michal Guindy, et al.. (2020). Development and efficacy of a computerized decision support system for osteoporosis management in the community. Archives of Osteoporosis. 15(1). 27–27. 8 indexed citations

14.

Akselrod-Ballin, Ayelet, Michal Chorev, Yoel Shoshan, et al.. (2019). Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms. Radiology. 292(2). 331–342. 126 indexed citations

15.

Stein, Dan J., Noam Goldberg, Liran Domachevsky, et al.. (2018). Quantitative biomarkers for liver metastases: comparison of MRI diffusion-weighted imaging heterogeneity index and fluorine-18-fluoro-deoxyglucose standardised uptake value in hybrid PET/MR. Clinical Radiology. 73(9). 832.e17–832.e22. 4 indexed citations

16.

Livoff, Alejandro, et al.. (2017). Chemotherapy may eradicate ductal carcinoma in situ (DCIS) but not the associated microcalcifications. European Journal of Surgical Oncology. 43(8). 1415–1420. 13 indexed citations

17.

Guindy, Michal, et al.. (2015). 4D MRI for the Localization of Parathyroid Adenoma. Otolaryngology. 154(3). 446–448. 30 indexed citations

18.

Raz, Raanan, et al.. (2013). Characteristics of the elderly who do not visit primary care physicians. Israel Journal of Health Policy Research. 2(1). 7–7. 7 indexed citations

19.

Fattal‐Valevski, Aviva, et al.. (2009). Delayed language development due to infantile thiamine deficiency. Developmental Medicine & Child Neurology. 51(8). 629–634. 55 indexed citations

20.

Kokia, Ehud, et al.. (2007). Deaths following influenza vaccination—background mortality or causal connection?. Vaccine. 25(51). 8557–8561. 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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