Hadas Moshonov

36 total papers · 880 total citations
28 papers, 621 citations indexed

About

Hadas Moshonov is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hadas Moshonov has authored 28 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Surgery and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hadas Moshonov's work include Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (5 papers) and Breast Lesions and Carcinomas (4 papers). Hadas Moshonov is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (5 papers) and Breast Lesions and Carcinomas (4 papers). Hadas Moshonov collaborates with scholars based in Canada, United States and Brazil. Hadas Moshonov's co-authors include Michael Evans, Pavel Crystal, Sandeep Ghai, Frederick Au, Michael A.S. Jewett, Harriette Kahn, Kartik Jhaveri, Fang‐I Lu, Andrew Crean and Bernd J. Wintersperger and has published in prestigious journals such as Radiology, The Journal of Urology and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Hadas Moshonov

27 papers receiving 613 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hadas Moshonov	277	177	123	118	86	28	621
William A. Chilcote	230 0.8×	249 1.4×	45 0.4×	90 0.8×	54 0.6×	23	614
Kehao Zhu	83 0.3×	231 1.3×	23 0.2×	135 1.1×	46 0.5×	14	564
Lovedeep Gondara	183 0.7×	234 1.3×	62 0.5×	64 0.5×	16 0.2×	41	770
Michael Feldman	285 1.0×	143 0.8×	64 0.5×	140 1.2×	289 3.4×	22	664
V.A. Dumane	357 1.3×	128 0.7×	163 1.3×	40 0.3×	13 0.2×	33	600
Vittoria D’Avino	393 1.4×	274 1.5×	60 0.5×	39 0.3×	63 0.7×	42	746
Joost Huiskens	153 0.6×	93 0.5×	44 0.4×	138 1.2×	29 0.3×	31	570
Jaehyung Cha	386 1.4×	150 0.8×	150 1.2×	142 1.2×	36 0.4×	48	767
Leigh Conroy	307 1.1×	173 1.0×	156 1.3×	41 0.3×	35 0.4×	35	604
Stefania Volpe	283 1.0×	275 1.6×	61 0.5×	144 1.2×	17 0.2×	57	740

Countries citing papers authored by Hadas Moshonov

Since Specialization

Citations

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

Fields of papers citing papers by Hadas Moshonov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hadas Moshonov

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

All Works

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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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