Karen Dunn

63 total papers · 1.9k total citations
28 papers, 1.4k citations indexed

About

Karen Dunn is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Karen Dunn has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hematology, 14 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Karen Dunn's work include Chronic Myeloid Leukemia Treatments (13 papers), Acute Myeloid Leukemia Research (9 papers) and Chronic Lymphocytic Leukemia Research (8 papers). Karen Dunn is often cited by papers focused on Chronic Myeloid Leukemia Treatments (13 papers), Acute Myeloid Leukemia Research (9 papers) and Chronic Lymphocytic Leukemia Research (8 papers). Karen Dunn collaborates with scholars based in United Kingdom, United States and Hong Kong. Karen Dunn's co-authors include Tessa L. Holyoake, Alison M. Michie, Pablo Baquero, G. Vignir Helgason, Eyal Gottlieb, Saverio Tardito, Mary T. Scott, Eli E. Sercarz, Mhairi Copland and Lisa Hopcroft and has published in prestigious journals such as Nature, Nature Medicine and Nature Communications.

In The Last Decade

Karen Dunn

28 papers receiving 1.4k citations

Hit Papers

Targeting mitochondrial o... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Karen Dunn 796 506 274 260 208 28 1.4k
Maura Gasparetto 820 1.0× 825 1.6× 295 1.1× 328 1.3× 273 1.3× 28 1.6k
Alexa S. Green 1.0k 1.3× 543 1.1× 191 0.7× 166 0.6× 247 1.2× 28 1.5k
Shourong Zhao 1.1k 1.4× 440 0.9× 272 1.0× 177 0.7× 361 1.7× 31 1.8k
Cezary Swider 524 0.7× 495 1.0× 191 0.7× 201 0.8× 177 0.9× 20 1.1k
Albertus T.J. Wierenga 657 0.8× 429 0.8× 253 0.9× 155 0.6× 282 1.4× 34 1.3k
Séverine Cathelin 1.0k 1.3× 344 0.7× 268 1.0× 149 0.6× 285 1.4× 28 1.4k
Nathalie Belhacène 620 0.8× 363 0.7× 125 0.5× 204 0.8× 215 1.0× 26 1.1k
Cong Peng 656 0.8× 577 1.1× 138 0.5× 287 1.1× 155 0.7× 51 1.3k
Esther A. Obeng 1.2k 1.5× 583 1.2× 146 0.5× 160 0.6× 251 1.2× 33 1.8k
Lyubov Zaitseva 1.0k 1.3× 594 1.2× 360 1.3× 341 1.3× 282 1.4× 28 1.7k

Countries citing papers authored by Karen Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Karen Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Dunn

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