Kathryn Masker

11 total papers · 520 total citations
9 papers, 435 citations indexed

About

Kathryn Masker is a scholar working on Molecular Biology, Immunology and Nephrology. According to data from OpenAlex, Kathryn Masker has authored 9 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Nephrology. Recurrent topics in Kathryn Masker's work include Fungal and yeast genetics research (2 papers), Microtubule and mitosis dynamics (2 papers) and Heat shock proteins research (1 paper). Kathryn Masker is often cited by papers focused on Fungal and yeast genetics research (2 papers), Microtubule and mitosis dynamics (2 papers) and Heat shock proteins research (1 paper). Kathryn Masker collaborates with scholars based in United States, Germany and Canada. Kathryn Masker's co-authors include Joseph Y. Cheung, Wenyi Zhang, Xin Chu, Kathleen Conrad, Qin Tong, Barbara A. Miller, David J. Carey, Stephen A. Osmani, Glenn S. Gerhard and Tooraj Mirshahi and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Genetics.

In The Last Decade

Kathryn Masker

9 papers receiving 429 citations

Author Peers

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

Author Last Decade Papers Cites
Kathryn Masker 184 164 90 57 53 9 435
Alexandre Bokhobza 250 1.4× 272 1.7× 63 0.7× 36 0.6× 50 0.9× 13 474
Pierre Rybarczyk 197 1.1× 157 1.0× 187 2.1× 29 0.5× 27 0.5× 13 433
Els den Dekker 155 0.8× 171 1.0× 68 0.8× 35 0.6× 34 0.6× 9 391
Krisztina Peter 184 1.0× 116 0.7× 30 0.3× 32 0.6× 44 0.8× 7 429
Tim S. Munsey 211 1.1× 77 0.5× 60 0.7× 46 0.8× 62 1.2× 15 368
Rita Marincsák 132 0.7× 150 0.9× 34 0.4× 41 0.7× 80 1.5× 12 409
Eva‐Maria Gehring 204 1.1× 56 0.3× 31 0.3× 44 0.8× 40 0.8× 11 393
Isabelle Zee 185 1.0× 235 1.4× 29 0.3× 27 0.5× 37 0.7× 6 398
Marta E. Stremska 161 0.9× 51 0.3× 61 0.7× 49 0.9× 59 1.1× 10 479
Chee Gee See 219 1.2× 157 1.0× 49 0.5× 46 0.8× 62 1.2× 14 441

Countries citing papers authored by Kathryn Masker

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn Masker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn Masker

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