Shelly Soffer

3.3k total citations · 2 hit papers
97 papers, 2.1k citations indexed

About

Shelly Soffer is a scholar working on Artificial Intelligence, Surgery and Epidemiology. According to data from OpenAlex, Shelly Soffer has authored 97 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 18 papers in Surgery and 18 papers in Epidemiology. Recurrent topics in Shelly Soffer's work include Machine Learning in Healthcare (14 papers), Artificial Intelligence in Healthcare and Education (13 papers) and Inflammatory Bowel Disease (10 papers). Shelly Soffer is often cited by papers focused on Machine Learning in Healthcare (14 papers), Artificial Intelligence in Healthcare and Education (13 papers) and Inflammatory Bowel Disease (10 papers). Shelly Soffer collaborates with scholars based in Israel, United States and Germany. Shelly Soffer's co-authors include Eyal Klang, Orit Shimon, Yiftach Barash, Hayit Greenspan, Michal Marianne Amitai, Avi Ben-Cohen, Uri Kopylov, Shomron Ben‐Horin, Rami Eliakim and Robert Freeman and has published in prestigious journals such as Nature Medicine, Blood and Cancer Research.

In The Last Decade

Shelly Soffer

89 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide

2019 372 citations Shelly Soffer, Eyal Klang et al. profile →
Sociodemographic biases in medical decision making by large language models

2025 27 citations Mahmud Omar, Shelly Soffer et al. Nature Medicine profile →

Peers

Countries citing papers authored by Shelly Soffer

Since Specialization

Citations

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

Fields of papers citing papers by Shelly Soffer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shelly Soffer

This figure shows the co-authorship network connecting the top 25 collaborators of Shelly Soffer. A scholar is included among the top collaborators of Shelly Soffer 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 Shelly Soffer. Shelly Soffer 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:

20 of 20 papers shown

#	Work	Indexed citations
1	Predictive machine-learning model for screening iron deficiency without anaemia: a retrospective cohort study 2025 ·BMJ Open ·(unknown), Shelly Soffer, (unknown), (unknown), (unknown), Girish N. Nadkarni, Eyal Klang	0
2	Artificial intelligence classifies surgical technical skills in simulated laparoscopy: a pilot study 2025 ·Surgical Endoscopy ·(unknown), Roi Anteby, Eyal Klang, Shelly Soffer, (unknown), Ido Nachmany, Imri Amiel, Yiftach Barash	1
3	A scalable framework for benchmark embedding models in semantic health-care tasks 2025 ·Journal of the American Medical Informatics Association ·Shelly Soffer, Mahmud Omar, (unknown), Benjamin S. Glicksberg, Patricia Kovatch, (unknown), Robert Freeman, Alexander W. Charney, Girish N. Nadkarni, Eyal Klang	0
4	Retrieval-Augmented Generation: Advancing personalized care and research in oncology 2025 ·European Journal of Cancer ·(unknown), Shelly Soffer, Girish N. Nadkarni, Eyal Klang	7
5	Sociodemographic biases in medical decision making by large language models breakdown → 2025 ·Nature Medicine ·Mahmud Omar, Shelly Soffer, (unknown), Nicola Luigi Bragazzi, (unknown), Carol R. Horowitz, Alexander W. Charney, Robert Freeman, (unknown), Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang	27
6	Exploring the role of Large Language Models in haematology: A focused review of applications, benefits and limitations 2024 ·British Journal of Haematology ·(unknown), Girish N. Nadkarni, (unknown), Benjamin S. Glicksberg, Eyal Klang, Shelly Soffer	6
7	The role of deep learning in diagnostic imaging of spondyloarthropathies: a systematic review 2024 ·European Radiology ·Mahmud Omar, ‬‬‬‬Abdulla Watad, Dennis McGonagle, Shelly Soffer, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang	2
8	Deep learning in voice analysis for diagnosing vocal cord pathologies: a systematic review 2023 ·European Archives of Oto-Rhino-Laryngology ·(unknown), Adi Primov‐Fever, Shelly Soffer, Roi Anteby, (unknown), (unknown), Eran E. Alon, Eyal Zimlichman, Eyal Klang	7
9	Deep learning for embryo evaluation using time-lapse: a systematic review of diagnostic test accuracy 2023 ·American Journal of Obstetrics and Gynecology ·(unknown), Roi Anteby, (unknown), Eyal Klang, Shelly Soffer	7
10	A systematic review of adeno‐associated virus gene therapy clinical trials for HIV – A potential solution for patients with haemophilia and HIV? 2023 ·Haemophilia ·Sarina Levy‐Mendelovich, Christopher Walsh, Jonathan Schapiro, Shelly Soffer, Eyal Klang, Gili Kenet	1
11	Fluctuations in Serum Creatinine Levels During Hospitalization and Long-Term End-Stage Kidney Disease and Mortality 2023 ·JAMA Network Open ·(unknown), Pazit Beckerman, (unknown), (unknown), Eyal Klang, (unknown), Shelly Soffer, Noam Barda, Ehud Grossman	5
12	MRI features of intraductal papillary mucinous neoplasm of the bile ducts, “The myth about the cyst”: A systematic review 2023 ·European Journal of Radiology Open ·(unknown), Eyal Klang, Shelly Soffer, Yael Inbar, Eli Konen, (unknown), Sara Apter	4
13	The Effect of Oral Iron Chelator Deferiprone on Iron Overload and Oxidative Stress in Patients with Myelodysplastic Syndromes: A Study by the Israeli MDS Working Group 2023 ·Acta Haematologica ·Drorit Merkel, Shelly Soffer, Kalman Filanovsky, Andrei Braester, Eitan Fibach, (unknown), Yishai Ofran, Uri Greenbaum, Arnon Nagler, (unknown), Moshe Mittelman	3
14	The Prognostic Role of Neutrophil-to-Lymphocyte Ratio in Patients Hospitalized with Acute Pulmonary Embolism 2021 ·Journal of Clinical Medicine ·(unknown), (unknown), (unknown), Shelly Soffer, Noam Barda, Omri Cohen, Gili Kenet, Aharon Lubetsky	32
15	Synergistic effect of hypoalbuminaemia and hypotension in predicting in-hospital mortality and intensive care admission: a retrospective cohort study 2021 ·BMJ Open ·Eyal Klang, Shelly Soffer, Eyal Zimlichman, Alexis Zebrowski, Benjamin S. Glicksberg, Ehud Grossman, David L. Reich, Robert Freeman, Matthew A. Levin	3
16	Yield of head CT for acute findings in patients presenting to the emergency department 2020 ·Clinical Imaging ·(unknown), Eyal Klang, Shelly Soffer, (unknown), (unknown), Chen Hoffmann, Eli Konen, Eyal Zimlichman	9
17	Risk factors and mortality in patients with pneumonia and elevated troponin levels 2020 ·Scientific Reports ·(unknown), Shelly Soffer, Avshalom Leibowitz, Alexander Fardman, Robert Klempfner, (unknown), Ehud Grossman	8
18	A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score 2019 ·Journal of General Internal Medicine ·(unknown), Yiftach Barash, (unknown), Yehezkel S. Resheff, (unknown), (unknown), Shelly Soffer, Eyal Zimlichman, Eyal Klang	83
19	Promoting head CT exams in the emergency department triage using a machine learning model 2019 ·Neuroradiology ·Eyal Klang, Yiftach Barash, Shelly Soffer, (unknown), Yehezkel S. Resheff, (unknown), Moni Shahar, (unknown), (unknown), Eyal Zimlichman, Eli Konen	15
20	Incipient Melanoma Brain Metastases Instigate Astrogliosis and Neuroinflammation 2016 ·Cancer Research ·(unknown), Eran Blacher, (unknown), (unknown), Lilach Abramovitz, Anat Klein, Dikla Ben‐Shushan, Shelly Soffer, Raquel Blazquez, Alonso Barrantes‐Freer, Meike Müller, Karin Müller‐Decker, Reuven Stein, Galia Tsarfaty, Ronit Satchi‐Fainaro, Viktor Umansky, Tobias Pukrop, Neta Erez	68

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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