M A Helvie

14 total papers · 478 total citations
12 papers, 371 citations indexed

About

M A Helvie is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, M A Helvie has authored 12 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 4 papers in Cancer Research and 3 papers in Pathology and Forensic Medicine. Recurrent topics in M A Helvie's work include Breast Cancer Treatment Studies (4 papers), BRCA gene mutations in cancer (3 papers) and Digital Radiography and Breast Imaging (3 papers). M A Helvie is often cited by papers focused on Breast Cancer Treatment Studies (4 papers), BRCA gene mutations in cancer (3 papers) and Digital Radiography and Breast Imaging (3 papers). M A Helvie collaborates with scholars based in United States. M A Helvie's co-authors include Chintana Paramagul, Dorit D. Adler, Marilyn A. Roubidoux, TM Silver, Timothy F. Kresowik, Kjell Jonsson, William Martel, Kenneth A. Buckwalter, Loren T. Niklason and Todd E. Wilson and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Medical Physics.

In The Last Decade

M A Helvie

12 papers receiving 363 citations

Author Peers

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

Author Last Decade Papers Cites
M A Helvie 142 118 105 98 92 12 371
Sylvia O’Keeffe 141 1.0× 118 1.0× 108 1.0× 87 0.9× 135 1.5× 22 426
Richard P. Jacobs 142 1.0× 92 0.8× 147 1.4× 107 1.1× 55 0.6× 18 380
Dick Venderink 50 0.4× 32 0.3× 63 0.6× 128 1.3× 133 1.4× 17 388
Tova Koenigsberg 168 1.2× 85 0.7× 129 1.2× 41 0.4× 38 0.4× 15 345
W K Bernreuter 95 0.7× 63 0.5× 117 1.1× 52 0.5× 71 0.8× 16 338
Hilary Moss 157 1.1× 49 0.4× 64 0.6× 202 2.1× 63 0.7× 11 378
Chiaki Takasawa 65 0.5× 69 0.6× 54 0.5× 48 0.5× 238 2.6× 10 334
J G Rabinowitz 44 0.3× 36 0.3× 104 1.0× 180 1.8× 65 0.7× 16 397
Jacquelyn P. Hogge 206 1.5× 98 0.8× 120 1.1× 54 0.6× 76 0.8× 14 403
Rosa Zabala 93 0.7× 35 0.3× 270 2.6× 100 1.0× 85 0.9× 13 436

Countries citing papers authored by M A Helvie

Since Specialization
Citations

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

Fields of papers citing papers by M A Helvie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M A Helvie. 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 M A Helvie. The network helps show where M A Helvie may publish in the future.

Co-authorship network of co-authors of M A Helvie

This figure shows the co-authorship network connecting the top 25 collaborators of M A Helvie. A scholar is included among the top collaborators of M A Helvie 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 M A Helvie. M A Helvie 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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