P. Yakowec

26 total papers · 1.4k total citations
7 papers, 354 citations indexed

About

P. Yakowec is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, P. Yakowec has authored 7 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in P. Yakowec's work include Cancer-related Molecular Pathways (3 papers), Ubiquitin and proteasome pathways (2 papers) and Microtubule and mitosis dynamics (2 papers). P. Yakowec is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Ubiquitin and proteasome pathways (2 papers) and Microtubule and mitosis dynamics (2 papers). P. Yakowec collaborates with scholars based in United States, Germany and United Kingdom. P. Yakowec's co-authors include William G. Dunphy, Akiko Kumagai, Alexander Long, Jing Zhou, Xin Huang, Klaus Michelsen, Paul D. Schnier, Yosup Rew, Leszek Poppe and Evelyn Yang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

P. Yakowec

6 papers receiving 345 citations

Author Peers

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

Author Last Decade Papers Cites
P. Yakowec 302 141 111 25 21 7 354
Muralikrishna Duvvuri 215 0.7× 50 0.4× 84 0.8× 14 0.6× 18 0.9× 8 371
Suzanne Renwick 291 1.0× 127 0.9× 106 1.0× 20 0.8× 9 0.4× 11 395
Greg Hoffman 232 0.8× 78 0.6× 49 0.4× 37 1.5× 20 1.0× 7 384
Sonia Rainoldi 261 0.9× 84 0.6× 116 1.0× 31 1.2× 8 0.4× 9 323
Padma L. Channavajhala 292 1.0× 44 0.3× 92 0.8× 44 1.8× 10 0.5× 9 372
Simon Low 239 0.8× 116 0.8× 85 0.8× 24 1.0× 5 0.2× 6 368
Darcy Kohls 273 0.9× 123 0.9× 81 0.7× 20 0.8× 6 0.3× 7 337
Jiewen Zhu 237 0.8× 95 0.7× 112 1.0× 29 1.2× 17 0.8× 10 382
Cody W. Lewis 246 0.8× 48 0.3× 117 1.1× 38 1.5× 13 0.6× 14 306
Anant Vasudevan 268 0.9× 120 0.9× 50 0.5× 38 1.5× 10 0.5× 5 386

Countries citing papers authored by P. Yakowec

Since Specialization
Citations

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

Fields of papers citing papers by P. Yakowec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Yakowec

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