Jamie Coupar

77 total papers · 872 total citations
13 papers, 710 citations indexed

About

Jamie Coupar is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jamie Coupar has authored 13 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Jamie Coupar's work include NF-κB Signaling Pathways (4 papers), Lung Cancer Treatments and Mutations (3 papers) and Cancer-related gene regulation (2 papers). Jamie Coupar is often cited by papers focused on NF-κB Signaling Pathways (4 papers), Lung Cancer Treatments and Mutations (3 papers) and Cancer-related gene regulation (2 papers). Jamie Coupar collaborates with scholars based in United States, Japan and France. Jamie Coupar's co-authors include Carter Van Waes, Y. Bian, Christian Freudlsperger, Xin Yang, Z Chen, Stacey Lynn Camp, Hui Cheng, Jay Hirsh, Zhong Chen and Xinping Yang and has published in prestigious journals such as Cancer Research, Oncogene and Current Biology.

In The Last Decade

Jamie Coupar

13 papers receiving 696 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 Coupar 378 197 195 101 92 13 710
Jian‐Ming Li 359 0.9× 202 1.0× 164 0.8× 150 1.5× 47 0.5× 21 672
Jonas Vikesaa 534 1.4× 121 0.6× 243 1.2× 48 0.5× 23 0.3× 9 740
H. Helen Lin 587 1.6× 140 0.7× 251 1.3× 55 0.5× 45 0.5× 24 837
Gian Paolo Trentini 251 0.7× 161 0.8× 109 0.6× 52 0.5× 32 0.3× 18 654
Mujun Yu 466 1.2× 132 0.7× 158 0.8× 75 0.7× 106 1.2× 16 746
Pegah Rouhi 588 1.6× 209 1.1× 282 1.4× 91 0.9× 22 0.2× 12 909
María Sol Degese 580 1.5× 185 0.9× 86 0.4× 91 0.9× 37 0.4× 8 887
Kyle Halliwill 346 0.9× 253 1.3× 196 1.0× 117 1.2× 62 0.7× 16 657
Kerstin Dehne 471 1.2× 295 1.5× 170 0.9× 147 1.5× 51 0.6× 16 890
Meng K. Lim 465 1.2× 80 0.4× 167 0.9× 50 0.5× 36 0.4× 12 728

Countries citing papers authored by Jamie Coupar

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Coupar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie Coupar

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