Neoma T. Boardman

31 total papers · 705 total citations
21 papers, 530 citations indexed

About

Neoma T. Boardman is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Neoma T. Boardman has authored 21 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Neoma T. Boardman's work include Cardiovascular Function and Risk Factors (13 papers), Cardiovascular and exercise physiology (6 papers) and Cardiovascular Effects of Exercise (6 papers). Neoma T. Boardman is often cited by papers focused on Cardiovascular Function and Risk Factors (13 papers), Cardiovascular and exercise physiology (6 papers) and Cardiovascular Effects of Exercise (6 papers). Neoma T. Boardman collaborates with scholars based in Norway, Canada and United Kingdom. Neoma T. Boardman's co-authors include Ellen Aasum, Anne D. Hafstad, Terje S. Larsen, Jim Lund, Ahmed M. Khalid, Ulrik Wisløff, David L. Severson, Ole-Jakob How, Andrew J. Murray and Rob C. I. Wüst and has published in prestigious journals such as Circulation, PLoS ONE and Endocrine Reviews.

In The Last Decade

Neoma T. Boardman

21 papers receiving 528 citations

Author Peers

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

Author Last Decade Papers Cites
Neoma T. Boardman 308 183 183 90 67 21 530
Eduardo M. Escudero 355 1.2× 240 1.3× 95 0.5× 67 0.7× 76 1.1× 20 582
G. Gaia 250 0.8× 233 1.3× 126 0.7× 43 0.5× 148 2.2× 18 564
Dalma Kellermayer 356 1.2× 139 0.8× 76 0.4× 68 0.8× 34 0.5× 16 493
Mochamad Ali Sobirin 221 0.7× 197 1.1× 173 0.9× 37 0.4× 32 0.5× 23 500
Daniele Mendes Guizoni 256 0.8× 141 0.8× 174 1.0× 85 0.9× 25 0.4× 30 518
Shuichi Osaki 288 0.9× 89 0.5× 53 0.3× 101 1.1× 73 1.1× 28 505
Ya Xu 208 0.7× 240 1.3× 94 0.5× 25 0.3× 72 1.1× 24 498
Andrew O. Kadlec 229 0.7× 171 0.9× 184 1.0× 38 0.4× 22 0.3× 19 606
Richard Grocott-Mason 364 1.2× 82 0.4× 248 1.4× 60 0.7× 53 0.8× 20 484
Sumit Kar 241 0.8× 256 1.4× 68 0.4× 34 0.4× 50 0.7× 18 594

Countries citing papers authored by Neoma T. Boardman

Since Specialization
Citations

This map shows the geographic impact of Neoma T. Boardman'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 Neoma T. Boardman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neoma T. Boardman more than expected).

Fields of papers citing papers by Neoma T. Boardman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neoma T. Boardman. 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 Neoma T. Boardman. The network helps show where Neoma T. Boardman may publish in the future.

Co-authorship network of co-authors of Neoma T. Boardman

This figure shows the co-authorship network connecting the top 25 collaborators of Neoma T. Boardman. A scholar is included among the top collaborators of Neoma T. Boardman 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 Neoma T. Boardman. Neoma T. Boardman 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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