Traci Pawlowski

51 total papers · 1.9k total citations
21 papers, 1.0k citations indexed

About

Traci Pawlowski is a scholar working on Cancer Research, Molecular Biology and Genetics. According to data from OpenAlex, Traci Pawlowski has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cancer Research, 10 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Traci Pawlowski's work include Cancer Genomics and Diagnostics (7 papers), Extracellular vesicles in disease (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Traci Pawlowski is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Extracellular vesicles in disease (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Traci Pawlowski collaborates with scholars based in United States, Germany and France. Traci Pawlowski's co-authors include Christine Kuslich, Freddie C. Hamdy, R L Vessella, Brian Rhees, Gemma Marsden, James W.F. Catto, Tapio Visakorpi, Richard J. Bryant, Matthew J. Huentelman and David W. Craig and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Nature Methods.

In The Last Decade

Traci Pawlowski

18 papers receiving 1.0k citations

Hit Papers

Changes in circulating mi... 2012 2026 2016 2021 2012 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Traci Pawlowski 751 543 154 114 74 21 1.0k
Valéria Valente 648 0.9× 313 0.6× 127 0.8× 74 0.6× 90 1.2× 35 971
Jernej Murn 959 1.3× 125 0.2× 220 1.4× 58 0.5× 108 1.5× 27 1.2k
Moli Huang 743 1.0× 428 0.8× 71 0.5× 93 0.8× 135 1.8× 39 1.1k
Eiríkur Briem 1.0k 1.4× 240 0.4× 336 2.2× 62 0.5× 135 1.8× 12 1.2k
Yunbo Qiao 789 1.1× 156 0.3× 144 0.9× 40 0.4× 113 1.5× 49 1.1k
М. В. Фридман 839 1.1× 622 1.1× 57 0.4× 105 0.9× 67 0.9× 41 1.1k
Xin Chen 529 0.7× 379 0.7× 140 0.9× 100 0.9× 109 1.5× 28 966
Mauro Mezzina 652 0.9× 126 0.2× 129 0.8× 55 0.5× 91 1.2× 26 903
M. Papathanasiou 719 1.0× 176 0.3× 92 0.6× 71 0.6× 290 3.9× 17 1.2k
Kyle L. MacQuarrie 790 1.1× 111 0.2× 107 0.7× 87 0.8× 36 0.5× 18 956

Countries citing papers authored by Traci Pawlowski

Since Specialization
Citations

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

Fields of papers citing papers by Traci Pawlowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Traci Pawlowski

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