Jamie Jarusiewicz

27 total papers · 680 total citations
17 papers, 294 citations indexed

About

Jamie Jarusiewicz is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Jamie Jarusiewicz has authored 17 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Oncology. Recurrent topics in Jamie Jarusiewicz's work include Protein Degradation and Inhibitors (6 papers), Ubiquitin and proteasome pathways (3 papers) and CAR-T cell therapy research (3 papers). Jamie Jarusiewicz is often cited by papers focused on Protein Degradation and Inhibitors (6 papers), Ubiquitin and proteasome pathways (3 papers) and CAR-T cell therapy research (3 papers). Jamie Jarusiewicz collaborates with scholars based in United States, France and China. Jamie Jarusiewicz's co-authors include Kyung Woon Jung, Kyung Soo Yoo, Chan Pil Park, Joseph Sherma, Bernard Fried, Lei Yang, Zoran Ranković, Marisa Actis, Gisele Nishiguchi and Satoshi Yoshimura and has published in prestigious journals such as Nucleic Acids Research, Blood and Journal of Medicinal Chemistry.

In The Last Decade

Jamie Jarusiewicz

16 papers receiving 281 citations

Author Peers

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

Author Last Decade Papers Cites
Jamie Jarusiewicz 169 103 50 46 21 17 294
Amy Bunker 193 1.1× 123 1.2× 61 1.2× 23 0.5× 4 0.2× 13 356
Madhusudhan Gowravaram 216 1.3× 168 1.6× 70 1.4× 17 0.4× 16 0.8× 11 362
Denise Bellotti 120 0.7× 56 0.5× 44 0.9× 11 0.2× 23 1.1× 22 312
Bijan Almassian 117 0.7× 74 0.7× 115 2.3× 11 0.2× 28 1.3× 25 325
Wenxi Pan 128 0.8× 147 1.4× 18 0.4× 40 0.9× 8 0.4× 10 314
Dustin Carroll 153 0.9× 38 0.4× 41 0.8× 15 0.3× 9 0.4× 15 323
Y. Carrasco 223 1.3× 90 0.9× 55 1.1× 15 0.3× 13 0.6× 10 335
Zhiheng Yang 143 0.8× 91 0.9× 50 1.0× 8 0.2× 36 1.7× 17 329
Eman M.E. Dokla 133 0.8× 127 1.2× 40 0.8× 29 0.6× 5 0.2× 22 321
Nalin Abeydeera 194 1.1× 45 0.4× 26 0.5× 12 0.3× 12 0.6× 18 328

Countries citing papers authored by Jamie Jarusiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Jarusiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie Jarusiewicz

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