Nicholas Beauchamp

57 total papers · 1.3k total citations
22 papers, 804 citations indexed

About

Nicholas Beauchamp is a scholar working on Molecular Biology, Artificial Intelligence and Hematology. According to data from OpenAlex, Nicholas Beauchamp has authored 22 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Artificial Intelligence and 5 papers in Hematology. Recurrent topics in Nicholas Beauchamp's work include Blood Coagulation and Thrombosis Mechanisms (5 papers), Glycogen Storage Diseases and Myoclonus (4 papers) and Social Media and Politics (4 papers). Nicholas Beauchamp is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (5 papers), Glycogen Storage Diseases and Myoclonus (4 papers) and Social Media and Politics (4 papers). Nicholas Beauchamp collaborates with scholars based in United Kingdom, United States and Netherlands. Nicholas Beauchamp's co-authors include K. K. Hampton, Martina E. Daly, Peter Cooper, I. R. Peake, F. E. Preston, Michael Makris, Mary E. Daly, F E Preston, Gaynor Miller and P. Cooper and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, American Journal of Political Science and British Journal of Haematology.

In The Last Decade

Nicholas Beauchamp

21 papers receiving 772 citations

Author Peers

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

Author Last Decade Papers Cites
Nicholas Beauchamp 320 203 175 123 120 22 804
F Jobin 393 1.2× 34 0.2× 187 1.1× 80 0.7× 64 0.5× 22 849
Roel J.W. van Kampen 148 0.5× 7 0.0× 44 0.3× 53 0.4× 100 0.8× 18 886
Kevin S. Choe 188 0.6× 63 0.3× 19 0.1× 32 0.3× 184 1.5× 31 1.0k
Mazen K. Khalil 17 0.1× 9 0.0× 26 0.1× 121 1.0× 24 0.2× 11 799
Anna L. Godfrey 522 1.6× 260 1.3× 15 0.1× 23 0.2× 651 5.4× 35 880
Mahdi Jalili 231 0.7× 18 0.1× 5 0.0× 43 0.3× 57 0.5× 58 781
Michael Grow 102 0.3× 42 0.2× 9 0.1× 122 1.0× 66 0.6× 23 722
Paraskevi Kotsi 89 0.3× 49 0.2× 18 0.1× 36 0.3× 109 0.9× 19 725
Maria Diamandis 255 0.8× 23 0.1× 12 0.1× 67 0.5× 250 2.1× 15 814
Frédéric Vanhoutte 186 0.6× 391 1.9× 5 0.0× 93 0.8× 161 1.3× 35 978

Countries citing papers authored by Nicholas Beauchamp

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Beauchamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Beauchamp

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