Erin Chinn

494 total citations · 1 hit paper
4 papers, 260 citations indexed

About

Erin Chinn is a scholar working on Pathology and Forensic Medicine, Neurology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Erin Chinn has authored 4 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Pathology and Forensic Medicine, 1 paper in Neurology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Erin Chinn's work include Radiomics and Machine Learning in Medical Imaging (1 paper), Animal Behavior and Reproduction (1 paper) and Amphibian and Reptile Biology (1 paper). Erin Chinn is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (1 paper), Animal Behavior and Reproduction (1 paper) and Amphibian and Reptile Biology (1 paper). Erin Chinn collaborates with scholars based in United States. Erin Chinn's co-authors include Rima Arnaout, Jami C. Levine, Lara Curran, Anita J. Moon‐Grady, Yili Zhao, Aaron Rundus, Donald H. Owings, Sanjay S. Joshi, Ramy Arnaout and DonaldI. Abrams and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Urology.

In The Last Decade

Erin Chinn

4 papers receiving 251 citations

Hit Papers

An ensemble of neural networks provides expert-level pren... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erin Chinn United States 4 77 61 50 49 38 4 260
Sanjeet Kumar Singh India 10 21 0.3× 22 0.4× 35 0.7× 51 1.0× 40 1.1× 39 282
Matt Richardson United Kingdom 6 33 0.4× 23 0.4× 5 0.1× 68 1.4× 12 235
Jonathan Rosenblatt France 13 55 0.7× 15 0.2× 40 0.8× 212 4.3× 51 470
M Murase Japan 11 107 1.4× 38 0.6× 29 0.6× 49 1.0× 25 300
Lynette B. MacKay United States 10 215 2.8× 12 0.2× 20 0.4× 63 1.3× 1 0.0× 12 387
William Reynolds United States 9 51 0.7× 5 0.1× 28 0.6× 40 0.8× 5 0.1× 27 237
Mark S. Burke United States 11 25 0.3× 25 0.4× 17 0.3× 8 0.2× 1 0.0× 21 327
Marina Ivančić United States 8 14 0.2× 16 0.3× 42 0.8× 8 0.2× 1 0.0× 21 230
Tilde Rodrigues Fróes Brazil 10 22 0.3× 8 0.1× 67 1.3× 55 1.1× 64 334
Natalie Uy United States 7 18 0.2× 19 0.3× 18 0.4× 38 0.8× 11 219

Countries citing papers authored by Erin Chinn

Since Specialization
Citations

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

Fields of papers citing papers by Erin Chinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erin Chinn

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

All Works

4 of 4 papers shown
1.
Chinn, Erin, et al.. (2023). ENRICHing medical imaging training sets enables more efficient machine learning. Journal of the American Medical Informatics Association. 30(6). 1079–1090. 10 indexed citations
2.
Arnaout, Rima, Lara Curran, Yili Zhao, et al.. (2021). An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease. Nature Medicine. 27(5). 882–891. 152 indexed citations breakdown →
3.
Rundus, Aaron, et al.. (2007). Ground squirrels use an infrared signal to deter rattlesnake predation. Proceedings of the National Academy of Sciences. 104(36). 14372–14376. 95 indexed citations
4.
Abrams, DonaldI., et al.. (1984). Hematologic Manifestations in Homosexual Men With Kaposi’s Sarcoma. The Journal of Urology. 132(1). 195–195. 3 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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