Eleanor To

45 total papers · 1.2k total citations
28 papers, 985 citations indexed

About

Eleanor To is a scholar working on Molecular Biology, Ophthalmology and Physiology. According to data from OpenAlex, Eleanor To has authored 28 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Ophthalmology and 9 papers in Physiology. Recurrent topics in Eleanor To's work include Retinal Diseases and Treatments (9 papers), Glaucoma and retinal disorders (9 papers) and Alzheimer's disease research and treatments (8 papers). Eleanor To is often cited by papers focused on Retinal Diseases and Treatments (9 papers), Glaucoma and retinal disorders (9 papers) and Alzheimer's disease research and treatments (8 papers). Eleanor To collaborates with scholars based in Canada, United States and United Kingdom. Eleanor To's co-authors include Joanne A. Matsubara, Jing Cui, Karen H. Ashe, Sijia Cao, Jiangyuan Gao, Aikun Wang, Dawn Y. Lam, Paul L. Kaufman, B’Ann T. Gabelt and Steve Rasmussen and has published in prestigious journals such as Molecules, Investigative Ophthalmology & Visual Science and Journal of Neuroinflammation.

In The Last Decade

Eleanor To

28 papers receiving 969 citations

Author Peers

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

Author Last Decade Papers Cites
Eleanor To 584 465 300 213 180 28 985
Inés López‐Cuenca 522 0.9× 358 0.8× 273 0.9× 141 0.7× 288 1.6× 40 997
Morin Ryu 709 1.2× 459 1.0× 327 1.1× 76 0.4× 121 0.7× 25 1.1k
Natalie Hudson 237 0.4× 380 0.8× 170 0.6× 97 0.5× 265 1.5× 24 896
Gezhi Xu 498 0.9× 406 0.9× 266 0.9× 74 0.3× 143 0.8× 28 983
Cheng‐mao Lin 381 0.7× 396 0.9× 136 0.5× 94 0.4× 168 0.9× 29 854
Miguel Flores‐Bellver 224 0.4× 598 1.3× 114 0.4× 173 0.8× 152 0.8× 27 1.1k
Mei‐Lan Ko 490 0.8× 383 0.8× 219 0.7× 97 0.5× 141 0.8× 39 831
Zhongxiao Wang 478 0.8× 674 1.4× 272 0.9× 75 0.4× 142 0.8× 30 1.2k
Myoung Sup Shim 385 0.7× 626 1.3× 81 0.3× 122 0.6× 156 0.9× 32 1.0k
Yasuya Inomata 508 0.9× 371 0.8× 320 1.1× 69 0.3× 81 0.5× 27 817

Countries citing papers authored by Eleanor To

Since Specialization
Citations

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

Fields of papers citing papers by Eleanor To

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleanor To

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