Andrew Aukerman

832 total citations
2 papers, 99 citations indexed

About

Andrew Aukerman is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrew Aukerman has authored 2 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Oncology and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrew Aukerman's work include Radiomics and Machine Learning in Medical Imaging (1 paper), Colorectal Cancer Screening and Detection (1 paper) and Colorectal Cancer Surgical Treatments (1 paper). Andrew Aukerman is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (1 paper), Colorectal Cancer Screening and Detection (1 paper) and Colorectal Cancer Surgical Treatments (1 paper). Andrew Aukerman collaborates with scholars based in United States, Italy and Argentina. Andrew Aukerman's co-authors include Ravi P. Kiran, Cristiana Bonifacio, Deborah S. Keller, Sachin Jambawalikar, Armando Del Portillo, Margarita Kirienko, Hiram Shaish, Antonino Spinelli, R. Vanguri and Stuart Bentley–Hibbert and has published in prestigious journals such as Journal of Clinical Oncology and European Radiology.

In The Last Decade

Andrew Aukerman

2 papers receiving 99 citations

Peers

Countries citing papers authored by Andrew Aukerman

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Aukerman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Aukerman

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

All Works

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2 of 2 papers shown

#	Work	Indexed citations
1	Radiomics of MRI for pretreatment prediction of pathologic complete response, tumor regression grade, and neoadjuvant rectal score in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiation: an international multicenter study 2020 ·European Radiology ·Hiram Shaish, Andrew Aukerman, R. Vanguri, Antonino Spinelli, (unknown), Sachin Jambawalikar, (unknown), Stuart Bentley–Hibbert, Armando Del Portillo, Ravi P. Kiran, (unknown), Cristiana Bonifacio, Margarita Kirienko, Kevin Gardner, Lawrence H. Schwartz, Deborah S. Keller	96
2	Subcellular partitioning of Kaiso (ZBTB33) as a biomarker to predict overall breast cancer survival. 2020 ·Journal of Clinical Oncology ·Sandeep K. Singhal, Donald A. Sens, Mary Ann Sens, Jung S. Byun, (unknown), (unknown), (unknown), (unknown), Mark N. Bobrow, (unknown), Jason White, Andrew Aukerman, Clayton Yates, R. Vanguri, Rohan Bareja, Romina Lenci, Adriana De Siervi, Anna María Nápoles, Nasreen A. Vohra, Kevin Gardner	3

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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