Amy Lynn Conners

68 total papers · 1.2k total citations
48 papers, 731 citations indexed

About

Amy Lynn Conners is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Amy Lynn Conners has authored 48 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Pulmonary and Respiratory Medicine and 12 papers in Pathology and Forensic Medicine. Recurrent topics in Amy Lynn Conners's work include Medical Imaging Techniques and Applications (29 papers), Digital Radiography and Breast Imaging (17 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Amy Lynn Conners is often cited by papers focused on Medical Imaging Techniques and Applications (29 papers), Digital Radiography and Breast Imaging (17 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Amy Lynn Conners collaborates with scholars based in United States and Vietnam. Amy Lynn Conners's co-authors include Carrie B. Hruska, Deborah J. Rhodes, Michael K. O’Connor, Cindy L. Tortorelli, Robert W. Maxwell, Katie N. Jones, Judy C. Boughey, Alicia Y. Toledano, Katie N. Hunt and Wendie A. Berg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Clinical Cancer Research.

In The Last Decade

Amy Lynn Conners

46 papers receiving 728 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Amy Lynn Conners 524 288 215 197 136 48 731
Markus Müller‐Schimpfle 583 1.1× 149 0.5× 129 0.6× 296 1.5× 129 0.9× 48 842
L. Diggles 675 1.3× 235 0.8× 162 0.8× 251 1.3× 188 1.4× 30 902
Luca Alessandro Carbonaro 637 1.2× 218 0.8× 163 0.8× 230 1.2× 95 0.7× 47 894
Yung‐Feng Lo 362 0.7× 309 1.1× 317 1.5× 289 1.5× 199 1.5× 46 815
Akiko Shimauchi 638 1.2× 85 0.3× 213 1.0× 287 1.5× 63 0.5× 31 815
Pietro Panizza 430 0.8× 116 0.4× 348 1.6× 327 1.7× 231 1.7× 44 861
Salim Kanoun 563 1.1× 284 1.0× 96 0.4× 518 2.6× 151 1.1× 41 870
J Masselot 521 1.0× 199 0.7× 184 0.9× 316 1.6× 60 0.4× 42 899
Ciqiu Yang 217 0.4× 120 0.4× 292 1.4× 139 0.7× 231 1.7× 58 646
Enida Bufi 591 1.1× 90 0.3× 230 1.1× 234 1.2× 88 0.6× 37 803

Countries citing papers authored by Amy Lynn Conners

Since Specialization
Citations

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

Fields of papers citing papers by Amy Lynn Conners

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy Lynn Conners. 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 Amy Lynn Conners. The network helps show where Amy Lynn Conners may publish in the future.

Co-authorship network of co-authors of Amy Lynn Conners

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

All Works

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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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