Nancy M. Tooney

26 total papers · 608 total citations
19 papers, 510 citations indexed

About

Nancy M. Tooney is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology and Allergy. According to data from OpenAlex, Nancy M. Tooney has authored 19 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Immunology and Allergy. Recurrent topics in Nancy M. Tooney's work include Blood properties and coagulation (4 papers), Cell Adhesion Molecules Research (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). Nancy M. Tooney is often cited by papers focused on Blood properties and coagulation (4 papers), Cell Adhesion Molecules Research (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). Nancy M. Tooney collaborates with scholars based in United States, Russia and Canada. Nancy M. Tooney's co-authors include Carolyn Cohen, Gerald D. Fasman, Betty Davidson, Ching‐San Lai, DL Amrani, Michael W. Mosesson, Else Ankel, James F. Hainfeld, J.S. Wall and Gene A. Homandberg and has published in prestigious journals such as Nature, The Journal of Cell Biology and Journal of Molecular Biology.

In The Last Decade

Nancy M. Tooney

19 papers receiving 451 citations

Author Peers

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

Author Last Decade Papers Cites
Nancy M. Tooney 219 123 99 78 67 19 510
R. Bernal Johnson 127 0.6× 189 1.5× 64 0.6× 90 1.2× 50 0.7× 10 451
D.L. Habliston 215 1.0× 52 0.4× 47 0.5× 83 1.1× 58 0.9× 20 512
Laurence Van Gulick 154 0.7× 68 0.6× 51 0.5× 51 0.7× 14 0.2× 23 483
Robert G. Parsons 245 1.1× 79 0.6× 19 0.2× 27 0.3× 11 0.2× 19 492
Utku Horzum 151 0.7× 59 0.5× 23 0.2× 126 1.6× 24 0.4× 17 542
Anissa N. Elayadi 303 1.4× 95 0.8× 13 0.1× 15 0.2× 63 0.9× 10 475
Sami Rissanen 389 1.8× 22 0.2× 26 0.3× 81 1.0× 23 0.3× 18 555
András Saftics 243 1.1× 35 0.3× 10 0.1× 72 0.9× 14 0.2× 29 553
Satish Rao 163 0.7× 16 0.1× 102 1.0× 42 0.5× 40 0.6× 21 559
G.V. Sherbet 226 1.0× 27 0.2× 25 0.3× 35 0.4× 18 0.3× 20 474

Countries citing papers authored by Nancy M. Tooney

Since Specialization
Citations

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

Fields of papers citing papers by Nancy M. Tooney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nancy M. Tooney

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