Kathleen E. Puca

20 total papers · 769 total citations
10 papers, 210 citations indexed

About

Kathleen E. Puca is a scholar working on Hematology, Biochemistry and Immunology. According to data from OpenAlex, Kathleen E. Puca has authored 10 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 5 papers in Biochemistry and 3 papers in Immunology. Recurrent topics in Kathleen E. Puca's work include Blood transfusion and management (5 papers), Complement system in diseases (3 papers) and Forensic Toxicology and Drug Analysis (2 papers). Kathleen E. Puca is often cited by papers focused on Blood transfusion and management (5 papers), Complement system in diseases (3 papers) and Forensic Toxicology and Drug Analysis (2 papers). Kathleen E. Puca collaborates with scholars based in United States. Kathleen E. Puca's co-authors include Kenneth D. Friedman, Brian DuChateau, Bradley C. Pietz, Jerome L. Gottschall, Jessica L. Churchill, Michael J. Anderson, Susan T. Johnson, Joshua J. Field, Lisa Baumann Kreuziger and Arun K. Singavi and has published in prestigious journals such as Blood, The Journal of Arthroplasty and Transfusion.

In The Last Decade

Kathleen E. Puca

10 papers receiving 209 citations

Author Peers

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

Author Last Decade Papers Cites
Kathleen E. Puca 124 84 63 46 36 10 210
Mathijs R. Wirtz 72 0.6× 33 0.4× 126 2.0× 16 0.3× 51 1.4× 15 205
Derek J. B. Kleinveld 32 0.3× 21 0.3× 96 1.5× 9 0.2× 40 1.1× 18 171
Nora Di Tomasso 99 0.8× 12 0.1× 102 1.6× 16 0.3× 98 2.7× 11 283
Henna Wong 51 0.4× 67 0.8× 118 1.9× 11 0.2× 51 1.4× 13 219
Fei Huang 129 1.0× 30 0.4× 33 0.5× 7 0.2× 126 3.5× 10 251
Tim Watts 49 0.4× 122 1.5× 19 0.3× 3 0.1× 14 0.4× 10 264
Eva Rombout‐Sestrienkova 37 0.3× 231 2.8× 9 0.1× 31 0.7× 8 0.2× 14 278
K Peggs 10 0.1× 73 0.9× 22 0.3× 2 0.0× 28 0.8× 12 211
C. Murphy 12 0.1× 118 1.4× 6 0.1× 26 0.6× 14 0.4× 11 207
Dianne Plews 44 0.4× 160 1.9× 11 0.2× 35 0.8× 12 0.3× 7 256

Countries citing papers authored by Kathleen E. Puca

Since Specialization
Citations

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

Fields of papers citing papers by Kathleen E. Puca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathleen E. Puca. 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 Kathleen E. Puca. The network helps show where Kathleen E. Puca may publish in the future.

Co-authorship network of co-authors of Kathleen E. Puca

This figure shows the co-authorship network connecting the top 25 collaborators of Kathleen E. Puca. A scholar is included among the top collaborators of Kathleen E. Puca 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 Kathleen E. Puca. Kathleen E. Puca 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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