Karen M. Mann

63 total papers · 3.7k total citations
16 papers, 1.1k citations indexed

About

Karen M. Mann is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Karen M. Mann has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Karen M. Mann's work include Cancer Genomics and Diagnostics (5 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Cancer-related Molecular Pathways (3 papers). Karen M. Mann is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Cancer-related Molecular Pathways (3 papers). Karen M. Mann collaborates with scholars based in United States, Singapore and New Zealand. Karen M. Mann's co-authors include Neal G. Copeland, Nancy A. Jenkins, Gary E. Landreth, Shweta Mandrekar, Paige E. Cramer, Brandy Wilkinson, David M. Holtzman, Jon L. Collins, Timothy M. Willson and Thomas A. Comery and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Karen M. Mann

15 papers receiving 1.1k citations

Hit Papers

ApoE Promotes the Proteol... 2008 2026 2014 2020 2008 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Karen M. Mann 596 486 306 199 166 16 1.1k
Debbie Callaghan 541 0.9× 543 1.1× 353 1.2× 189 0.9× 293 1.8× 16 1.5k
Jianjia Fan 541 0.9× 437 0.9× 222 0.7× 488 2.5× 157 0.9× 24 1.3k
Tahar Aboulkassim 449 0.8× 320 0.7× 198 0.6× 150 0.8× 200 1.2× 27 1.1k
Valérie Petegnief 504 0.8× 529 1.1× 125 0.4× 109 0.5× 260 1.6× 31 1.3k
María J. Artiga 823 1.4× 450 0.9× 259 0.8× 104 0.5× 39 0.2× 15 1.4k
Françoise Charbonnier 616 1.0× 446 0.9× 217 0.7× 52 0.3× 98 0.6× 23 1.3k
Braydon L. Burgess 457 0.8× 423 0.9× 300 1.0× 537 2.7× 91 0.5× 16 1.1k
Natalia V. Koudinova 544 0.9× 520 1.1× 96 0.3× 271 1.4× 93 0.6× 28 1.3k
Jeniffer Chan 379 0.6× 399 0.8× 270 0.9× 499 2.5× 100 0.6× 11 926
Nyosha Alikhani 884 1.5× 681 1.4× 138 0.5× 81 0.4× 68 0.4× 16 1.3k

Countries citing papers authored by Karen M. Mann

Since Specialization
Citations

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

Fields of papers citing papers by Karen M. Mann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen M. Mann

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