Michael Bereket

878 total citations
3 papers, 87 citations indexed

About

Michael Bereket is a scholar working on Genetics, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael Bereket has authored 3 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Genetics, 1 paper in Oncology and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Bereket's work include Radiomics and Machine Learning in Medical Imaging (1 paper), Genomics and Rare Diseases (1 paper) and Colorectal Cancer Screening and Detection (1 paper). Michael Bereket is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (1 paper), Genomics and Rare Diseases (1 paper) and Colorectal Cancer Screening and Detection (1 paper). Michael Bereket collaborates with scholars based in United States and Germany. Michael Bereket's co-authors include Domenico Mastrodicasa, Matthew P. Lungren, Andrew Y. Ng, Bhavik N. Patel, Jeremy Irvin, Curtis P. Langlotz, Pranav Rajpurkar, Chris Chute, Theofanis Karaletsos and Colm O’Dushlaine and has published in prestigious journals such as Scientific Reports and The American Journal of Human Genetics.

In The Last Decade

Michael Bereket

2 papers receiving 85 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Bereket United States 2 30 26 24 22 13 3 87
Mayur Patel India 5 16 0.5× 10 0.4× 13 0.5× 9 0.4× 9 0.7× 12 88
Jakub Soršák Slovakia 2 17 0.6× 11 0.4× 9 0.4× 5 0.2× 5 0.4× 3 62
Clare Grazal United States 5 9 0.3× 57 2.2× 7 0.3× 9 0.4× 20 1.5× 7 107
Christopher Holmes United Kingdom 4 3 0.1× 18 0.7× 37 1.5× 11 0.5× 28 2.2× 8 106
Ulf Landmesser Germany 6 7 0.2× 24 0.9× 7 0.3× 7 0.3× 6 0.5× 14 95
Delaram J. Ghadimi Iran 7 3 0.1× 14 0.5× 43 1.8× 8 0.4× 4 0.3× 24 84
Nishith Khandwala United States 5 5 0.2× 25 1.0× 95 4.0× 18 0.8× 34 2.6× 5 159
Stephen J. Granite United States 4 10 0.3× 9 0.3× 3 0.1× 37 1.7× 6 0.5× 4 83
Jennifer Proper United States 3 6 0.2× 18 0.7× 6 0.3× 6 0.3× 8 72
Tzu-Ming Harry Hsu United States 9 2 0.1× 11 0.4× 51 2.1× 57 2.6× 14 1.1× 10 164

Countries citing papers authored by Michael Bereket

Since Specialization
Citations

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

Fields of papers citing papers by Michael Bereket

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Bereket

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

All Works

3 of 3 papers shown
1.
2.
McCaw, Zachary R., Colm O’Dushlaine, Michael Bereket, et al.. (2023). An allelic-series rare-variant association test for candidate-gene discovery. The American Journal of Human Genetics. 110(8). 1330–1342. 7 indexed citations
3.
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

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

Breakdown of academic impact, for papers by Mayur Patel Breakdown of academic impact, for papers by Jakub Soršák Breakdown of academic impact, for papers by Clare Grazal Breakdown of academic impact, for papers by Christopher Holmes Breakdown of academic impact, for papers by Ulf Landmesser Breakdown of academic impact, for papers by Delaram J. Ghadimi Breakdown of academic impact, for papers by Nishith Khandwala Breakdown of academic impact, for papers by Stephen J. Granite Breakdown of academic impact, for papers by Jennifer Proper Breakdown of academic impact, for papers by Tzu-Ming Harry Hsu
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