Chris Chute

1.1k total citations
5 papers, 207 citations indexed

About

Chris Chute is a scholar working on Internal Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Chris Chute has authored 5 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Internal Medicine, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Molecular Biology. Recurrent topics in Chris Chute's work include Venous Thromboembolism Diagnosis and Management (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Health, Environment, Cognitive Aging (1 paper). Chris Chute is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Health, Environment, Cognitive Aging (1 paper). Chris Chute collaborates with scholars based in United States and Canada. Chris Chute's co-authors include Matthew P. Lungren, Andrew Y. Ng, Bhavik N. Patel, Jeremy Irvin, Pranav Rajpurkar, Curtis P. Langlotz, Michael Bereket, Domenico Mastrodicasa, Shih-Cheng Huang and Robyn L. Ball and has published in prestigious journals such as Scientific Reports, npj Digital Medicine and PubMed.

In The Last Decade

Chris Chute

5 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Chute United States	5	86	65	52	47	31	5	207
Sanchit Chawla United States	8	37 0.4×	18 0.3×	109 2.1×	19 0.4×	14 0.5×	31	339
Silvia Luvarà Italy	5	173 2.0×	21 0.3×	24 0.5×	32 0.7×	11 0.4×	6	268
Pedro Cox‐Alomar United States	5	54 0.6×	23 0.4×	62 1.2×	19 0.4×	8 0.3×	10	260
Tarek Nafee United States	10	30 0.3×	176 2.7×	34 0.7×	18 0.4×	9 0.3×	32	340
Andrew Kesselman United States	8	81 0.9×	32 0.5×	14 0.3×	28 0.6×	3 0.1×	34	206
Roman Johannes Gertz Germany	11	353 4.1×	33 0.5×	29 0.6×	51 1.1×	6 0.2×	37	519
Jan Budzianowski Poland	6	32 0.4×	38 0.6×	50 1.0×	24 0.5×	5 0.2×	19	248
Tomofumi Nakamura Japan	16	68 0.8×	66 1.0×	26 0.5×	10 0.2×	3 0.1×	46	653
Alyssa T. Watanabe United States	9	140 1.6×	17 0.3×	31 0.6×	114 2.4×	4 0.1×	18	330
Nicholas Xiao United States	8	146 1.7×	37 0.6×	8 0.2×	43 0.9×	3 0.1×	21	258

Countries citing papers authored by Chris Chute

Since Specialization

Citations

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

Fields of papers citing papers by Chris Chute

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Chute

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

All Works

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5 of 5 papers shown

1.

Huang, Shih-Cheng, Imon Banerjee, Chris Chute, et al.. (2020). PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digital Medicine. 3(1). 61–61. 103 indexed citations

2.

Rajpurkar, Pranav, Jeremy Irvin, Chris Chute, et al.. (2020). AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining. Scientific Reports. 10(1). 3958–3958. 80 indexed citations

3.

Haendel, Melissa, et al.. (2020). The National COVID Cohort Collaborative (N3C): Rationale, Design, Infrastructure, and Deployment. Zenodo (CERN European Organization for Nuclear Research). 8 indexed citations

4.

Huang, Shih-Cheng, Imon Banerjee, Chris Chute, et al.. (2019). PENet - A Scalable Deep-Learning Model for Automated Diagnosis of Pulmonary Embolism Using Volumetric CT Imaging. SSRN Electronic Journal. 9 indexed citations

5.

Pathak, Jyotishman, et al.. (2008). LexValueSets: an approach for context-driven value sets extraction.. PubMed. 556–60. 7 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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