Amanda J. Unsworth

62 total papers · 1.2k total citations
43 papers, 868 citations indexed

About

Amanda J. Unsworth is a scholar working on Hematology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Amanda J. Unsworth has authored 43 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hematology, 15 papers in Molecular Biology and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Amanda J. Unsworth's work include Platelet Disorders and Treatments (17 papers), Antiplatelet Therapy and Cardiovascular Diseases (14 papers) and Blood properties and coagulation (5 papers). Amanda J. Unsworth is often cited by papers focused on Platelet Disorders and Treatments (17 papers), Antiplatelet Therapy and Cardiovascular Diseases (14 papers) and Blood properties and coagulation (5 papers). Amanda J. Unsworth collaborates with scholars based in United Kingdom, United States and Singapore. Amanda J. Unsworth's co-authors include Jonathan M. Gibbins, Alexander P. Bye, Tanya Sage, Alexander R. Stainer, Gagan D. Flora, Neline Kriek, Sakthivel Vaiyapuri, Parvathy Sasikumar, Michael Fry and Marilena Crescente and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Amanda J. Unsworth

42 papers receiving 851 citations

Author Peers

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

Author Last Decade Papers Cites
Amanda J. Unsworth 342 261 185 173 131 43 868
Alexander P. Bye 298 0.9× 232 0.9× 159 0.9× 140 0.8× 107 0.8× 31 825
Takashi Dan 233 0.7× 287 1.1× 94 0.5× 59 0.3× 65 0.5× 51 1.1k
David J. Crutchley 174 0.5× 213 0.8× 76 0.4× 125 0.7× 38 0.3× 30 829
Stefania Momi 316 0.9× 166 0.6× 57 0.3× 282 1.6× 50 0.4× 25 955
Yumiko Matsubara 368 1.1× 138 0.5× 138 0.7× 184 1.1× 28 0.2× 32 974
Yuichi Nakamura 240 0.7× 391 1.5× 110 0.6× 122 0.7× 123 0.9× 62 1.0k
Hiroshi Ohkawara 172 0.5× 322 1.2× 77 0.4× 180 1.0× 31 0.2× 59 949
Anna Kobsar 279 0.8× 241 0.9× 43 0.2× 277 1.6× 33 0.3× 44 961
Giuseppina Nicolini 102 0.3× 419 1.6× 91 0.5× 164 0.9× 117 0.9× 47 946
Young‐Suk Cho 97 0.3× 299 1.1× 72 0.4× 89 0.5× 78 0.6× 41 822

Countries citing papers authored by Amanda J. Unsworth

Since Specialization
Citations

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

Fields of papers citing papers by Amanda J. Unsworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda J. Unsworth. 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 Amanda J. Unsworth. The network helps show where Amanda J. Unsworth may publish in the future.

Co-authorship network of co-authors of Amanda J. Unsworth

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda J. Unsworth. A scholar is included among the top collaborators of Amanda J. Unsworth 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 Amanda J. Unsworth. Amanda J. Unsworth 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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