Karen A. Ryall

34 total papers · 2.2k total citations
21 papers, 1.6k citations indexed

About

Karen A. Ryall is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Karen A. Ryall has authored 21 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Epidemiology. Recurrent topics in Karen A. Ryall's work include Bioinformatics and Genomic Networks (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Gene Regulatory Network Analysis (2 papers). Karen A. Ryall is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Gene Regulatory Network Analysis (2 papers). Karen A. Ryall collaborates with scholars based in United States, South Korea and United Kingdom. Karen A. Ryall's co-authors include Aik Choon Tan, Jeffrey J. Saucerman, Zhen Yan, Jihye Kim, Rhianna C. Laker, Jaewoo Kang, Minjae Yoo, Jimin Shin, Kyubum Lee and Sunwon Lee and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Bioinformatics.

In The Last Decade

Karen A. Ryall

20 papers receiving 1.5k citations

Hit Papers

DSigDB: drug signatures d... 2015 2026 2018 2022 2015 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 A. Ryall 848 443 258 187 133 21 1.6k
Guojun Zhao 739 0.9× 397 0.9× 461 1.8× 44 0.2× 114 0.9× 33 1.7k
David E. Mosedale 1.2k 1.4× 182 0.4× 215 0.8× 107 0.6× 76 0.6× 20 1.9k
Krishna Sriram 1.3k 1.5× 88 0.2× 189 0.7× 126 0.7× 181 1.4× 35 2.2k
John Erol Evangelista 1.2k 1.5× 150 0.3× 179 0.7× 68 0.4× 56 0.4× 22 2.1k
Zhuorui Xie 1.2k 1.4× 145 0.3× 177 0.7× 66 0.4× 54 0.4× 18 2.0k
Robert F. Stachlewitz 600 0.7× 261 0.6× 154 0.6× 79 0.4× 46 0.3× 30 1.9k
Míriam Guillén Navarro 917 1.1× 151 0.3× 142 0.6× 52 0.3× 67 0.5× 34 1.6k
Chunjuan Song 920 1.1× 298 0.7× 143 0.6× 177 0.9× 147 1.1× 27 1.7k
Friederike Langhauser 419 0.5× 388 0.9× 119 0.5× 150 0.8× 122 0.9× 32 1.4k
Monique R. Heitmeier 732 0.9× 307 0.7× 220 0.9× 46 0.2× 48 0.4× 33 1.9k

Countries citing papers authored by Karen A. Ryall

Since Specialization
Citations

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

Fields of papers citing papers by Karen A. Ryall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen A. Ryall

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