Yoel Shoshan

438 total citations
5 papers, 177 citations indexed

About

Yoel Shoshan is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yoel Shoshan has authored 5 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Yoel Shoshan's work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Artificial Intelligence in Healthcare (1 paper). Yoel Shoshan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Artificial Intelligence in Healthcare (1 paper). Yoel Shoshan collaborates with scholars based in Israel, United States and Switzerland. Yoel Shoshan's co-authors include Ella Barkan, Michal Rosen‐Zvi, Esma Herzel, Varda Shalev, Roie Melamed, Michal Guindy, Michal Chorev, Ehud Karavani, Adam Spiro and Gideon Koren and has published in prestigious journals such as Radiology, Journal of Chemical Information and Modeling and Computational and Structural Biotechnology Journal.

In The Last Decade

Yoel Shoshan

5 papers receiving 173 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yoel Shoshan Israel	4	132	120	48	42	21	5	177
Ella Barkan Israel	8	197 1.5×	178 1.5×	54 1.1×	54 1.3×	26 1.2×	14	273
Beiyi Shen United States	6	61 0.5×	169 1.4×	32 0.7×	59 1.4×	20 1.0×	9	238
Richard W. Lee United Kingdom	4	89 0.7×	125 1.0×	60 1.3×	50 1.2×	25 1.2×	6	240
Richard Osuala Spain	6	96 0.7×	96 0.8×	38 0.8×	21 0.5×	10 0.5×	12	175
Hu Luo China	6	107 0.8×	176 1.5×	46 1.0×	34 0.8×	14 0.7×	14	248
Jong Seok Ahn South Korea	5	70 0.5×	130 1.1×	67 1.4×	46 1.1×	17 0.8×	9	201
Anglin Dent Canada	5	96 0.7×	104 0.9×	126 2.6×	23 0.5×	19 0.9×	6	255
Taman Upadhaya France	6	58 0.4×	103 0.9×	21 0.4×	26 0.6×	11 0.5×	12	142
Lingyun Bao China	4	189 1.4×	220 1.8×	45 0.9×	36 0.9×	23 1.1×	7	285
Brendon Lutnick United States	7	159 1.2×	78 0.7×	30 0.6×	59 1.4×	43 2.0×	18	306

Countries citing papers authored by Yoel Shoshan

Since Specialization

Citations

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

Fields of papers citing papers by Yoel Shoshan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoel Shoshan

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Barkan, Ella, Kevin J. Cheng, Yoel Shoshan, et al.. (2025). Leveraging large language models to predict antibody biological activity against influenza A hemagglutinin. Computational and Structural Biotechnology Journal. 27. 1286–1295. 2 indexed citations

2.

Shoshan, Yoel, et al.. (2023). FuseMedML: a framework for accelerated discovery inmachine learning based biomedicine. The Journal of Open Source Software. 8(81). 4943–4943. 4 indexed citations

3.

Shoshan, Yoel, Vadim Ratner, Ella Barkan, et al.. (2022). Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis. Radiology. 303(1). 69–77. 40 indexed citations

4.

Born, Jannis, Yoel Shoshan, Toan Huynh, et al.. (2022). On the Choice of Active Site Sequences for Kinase-Ligand Affinity Prediction. Journal of Chemical Information and Modeling. 62(18). 4295–4299. 5 indexed citations

5.

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

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