Anouk Stein

925 total citations
9 papers, 257 citations indexed

About

Anouk Stein is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Oncology. According to data from OpenAlex, Anouk Stein has authored 9 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Surgery and 4 papers in Oncology. Recurrent topics in Anouk Stein's work include Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Anouk Stein is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Anouk Stein collaborates with scholars based in United States, Canada and Australia. Anouk Stein's co-authors include George Shih, Palmi Shah, Stephen Hobbs, Archana Laroia, Dharshan Vummidi, Ritu R. Gill, Kavitha Yaddanapudi, Maya Galperin-Aizenberg, Jean Jeudy and Carol C. Wu and has published in prestigious journals such as Gastroenterology, International Journal of Radiation Oncology*Biology*Physics and Scientific Data.

In The Last Decade

Anouk Stein

8 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anouk Stein United States	6	186	114	49	47	46	9	257
Satyananda Kashyap United States	8	156 0.8×	87 0.8×	54 1.1×	41 0.9×	56 1.2×	18	276
Guilherme Silva Brazil	6	166 0.9×	111 1.0×	23 0.5×	33 0.7×	35 0.8×	18	333
Emi Yamaga Japan	9	225 1.2×	152 1.3×	27 0.6×	46 1.0×	25 0.5×	28	311
Hitoshi Mori Japan	9	98 0.5×	135 1.2×	24 0.5×	31 0.7×	42 0.9×	65	449
Jinyu Cong China	7	217 1.2×	144 1.3×	68 1.4×	27 0.6×	53 1.2×	20	310
Michail Mamalakis United Kingdom	9	157 0.8×	70 0.6×	34 0.7×	32 0.7×	37 0.8×	19	245
Yanfei Hong China	5	236 1.3×	196 1.7×	70 1.4×	28 0.6×	53 1.2×	6	319
Ruobing Huang China	10	162 0.9×	167 1.5×	88 1.8×	16 0.3×	29 0.6×	29	316
Tianyu Zhang China	11	212 1.1×	181 1.6×	26 0.5×	51 1.1×	69 1.5×	31	372

Countries citing papers authored by Anouk Stein

Since Specialization

Citations

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

Fields of papers citing papers by Anouk Stein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anouk Stein

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

All Works

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9 of 9 papers shown

Ladbury, Colton, Savita Dandapani, Chunhui Han, et al.. (2024). Radiation-Related Late Toxicities Following Total Marrow Irradiation Transplant Conditioning Regimens. International Journal of Radiation Oncology*Biology*Physics. 120(2). S177–S177.

Filice, Ross W., Anouk Stein, Ian Pan, & George Shih. (2022). Federated Deep Learning to More Reliably Detect Body Part for Hanging Protocols, Relevant Priors, and Workflow Optimization. Journal of Digital Imaging. 35(2). 335–339. 7 indexed citations

Seah, Jarrel, Jay Gajera, Helen Kavnoudias, et al.. (2021). CLiP, catheter and line position dataset. Scientific Data. 8(1). 285–285. 10 indexed citations

Shih, George, Carol C. Wu, Safwan S. Halabi, et al.. (2019). Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia. Radiology Artificial Intelligence. 1(1). e180041–e180041. 181 indexed citations

Filice, Ross W., Anouk Stein, Carol C. Wu, et al.. (2019). Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset. Journal of Digital Imaging. 33(2). 490–496. 34 indexed citations

Popplewell, Leslie, et al.. (2006). Targeted total marrow irradiation using 3D image guided tomographic intensity modulated radiation therapy: An alternative to standard TBI. Biology of Blood and Marrow Transplantation. 12(2). 91–91. 3 indexed citations

Barreiro, Jesús, Marisa Crespo Leiro, M.J. Paniagua, et al.. (2004). Severe cardiac allograft dysfunction without endomyocardial biopsy signs of cellular rejection: incidence and management. Transplantation Proceedings. 36(3). 778–779. 10 indexed citations

Stein, Anouk, et al.. (2001). Computed Tomography for Pancreatic Diseases. Surgical Clinics of North America. 81(2). 283–306. 10 indexed citations

Stein, Anouk, J A Siegel, Shenhav Cohen, et al.. (1998). Three dimensional reconstructed computed tomography (3DCT), the determinant of resectibility in pancreatic biliary lesions (PBL). Gastroenterology. 114. A1428–A1428. 2 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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