Laurie Pukac

27 total papers · 2.8k total citations
21 papers, 1.4k citations indexed

About

Laurie Pukac is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Laurie Pukac has authored 21 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Genetics. Recurrent topics in Laurie Pukac's work include Neutropenia and Cancer Infections (5 papers), Angiogenesis and VEGF in Cancer (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Laurie Pukac is often cited by papers focused on Neutropenia and Cancer Infections (5 papers), Angiogenesis and VEGF in Cancer (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Laurie Pukac collaborates with scholars based in United States, Israel and Germany. Laurie Pukac's co-authors include Morris J. Karnovsky, Qinghai Zhao, Michael E. Ottlinger, M J Karnovsky, Clemens W.G.M. Löwik, Peter ten Dijke, Maarten van Dinther, Zhen Liu, Marion Scharpfenecker and R.L. van Bezooijen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Laurie Pukac

21 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Laurie Pukac 840 230 200 185 166 21 1.4k
Sunita Patel–Hett 666 0.8× 160 0.7× 320 1.6× 201 1.1× 134 0.8× 21 1.8k
Marko Hyytiäinen 822 1.0× 178 0.8× 183 0.9× 295 1.6× 263 1.6× 27 1.5k
Ainhoa Letamendı́a 1.1k 1.3× 152 0.7× 265 1.3× 203 1.1× 107 0.6× 16 1.6k
A. Johnsson 963 1.1× 202 0.9× 134 0.7× 320 1.7× 179 1.1× 15 1.7k
M. A. Baker 699 0.8× 119 0.5× 166 0.8× 109 0.6× 158 1.0× 18 1.5k
Keith S. K. Fong 1.2k 1.4× 170 0.7× 204 1.0× 201 1.1× 63 0.4× 30 1.8k
Manuel A. Pallero 917 1.1× 524 2.3× 145 0.7× 240 1.3× 317 1.9× 28 1.7k
Yanlin Yu 905 1.1× 178 0.8× 193 1.0× 195 1.1× 121 0.7× 34 1.5k
Martina B. Hautmann 892 1.1× 183 0.8× 134 0.7× 172 0.9× 164 1.0× 26 1.4k
Kazue Shimizu 720 0.9× 119 0.5× 145 0.7× 189 1.0× 126 0.8× 29 1.3k

Countries citing papers authored by Laurie Pukac

Since Specialization
Citations

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

Fields of papers citing papers by Laurie Pukac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurie Pukac

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