Hannah T. Ryles

64 total papers · 778 total citations
7 papers, 515 citations indexed

About

Hannah T. Ryles is a scholar working on Molecular Biology, Neurology and Cancer Research. According to data from OpenAlex, Hannah T. Ryles has authored 7 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Neurology and 3 papers in Cancer Research. Recurrent topics in Hannah T. Ryles's work include Cancer therapeutics and mechanisms (4 papers), Neuroblastoma Research and Treatments (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Hannah T. Ryles is often cited by papers focused on Cancer therapeutics and mechanisms (4 papers), Neuroblastoma Research and Treatments (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Hannah T. Ryles collaborates with scholars based in United States and New Zealand. Hannah T. Ryles's co-authors include Kateryna Krytska, Yaël P. Mossé, Mark A. Lemmon, Jin H. Park, Renata Sano, Nicole R. Infarinato, Andrew Wood, Scott C. Bresler, Wendy B. London and Peter J. Huwe and has published in prestigious journals such as Cancer Cell, Clinical Cancer Research and Obstetrics and Gynecology.

In The Last Decade

Hannah T. Ryles

7 papers receiving 511 citations

Author Peers

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

Author Last Decade Papers Cites
Hannah T. Ryles 372 292 202 186 111 7 515
Marci Laudenslager 286 0.8× 317 1.1× 171 0.8× 170 0.9× 63 0.6× 9 488
Lili T. Belcastro 210 0.6× 334 1.1× 147 0.7× 256 1.4× 195 1.8× 8 571
JulieAnn Rader 139 0.4× 302 1.0× 135 0.7× 257 1.4× 165 1.5× 8 539
M. Bennett 111 0.3× 218 0.7× 96 0.5× 295 1.6× 113 1.0× 5 590
Garrett M. Brodeur 345 0.9× 283 1.0× 156 0.8× 97 0.5× 33 0.3× 8 504
Deepa Khazi 442 1.2× 292 1.0× 234 1.2× 127 0.7× 23 0.2× 5 529
Qing-Rong Chen 105 0.3× 287 1.0× 92 0.5× 105 0.6× 140 1.3× 9 482
Jayanti Jagannathan 374 1.0× 426 1.5× 226 1.1× 153 0.8× 22 0.2× 6 605
Daniela Opel 196 0.5× 388 1.3× 139 0.7× 78 0.4× 22 0.2× 6 472
Yanfen Ye 72 0.2× 271 0.9× 183 0.9× 149 0.8× 31 0.3× 9 488

Countries citing papers authored by Hannah T. Ryles

Since Specialization
Citations

This map shows the geographic impact of Hannah T. Ryles'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 Hannah T. Ryles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah T. Ryles more than expected).

Fields of papers citing papers by Hannah T. Ryles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah T. Ryles. 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 Hannah T. Ryles. The network helps show where Hannah T. Ryles may publish in the future.

Co-authorship network of co-authors of Hannah T. Ryles

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah T. Ryles. A scholar is included among the top collaborators of Hannah T. Ryles 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 Hannah T. Ryles. Hannah T. Ryles 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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