Hope M Queener

70 total papers · 1.5k total citations
30 papers, 1.1k citations indexed

About

Hope M Queener is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Hope M Queener has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ophthalmology, 17 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Epidemiology. Recurrent topics in Hope M Queener's work include Glaucoma and retinal disorders (14 papers), Ophthalmology and Visual Impairment Studies (10 papers) and Corneal surgery and disorders (9 papers). Hope M Queener is often cited by papers focused on Glaucoma and retinal disorders (14 papers), Ophthalmology and Visual Impairment Studies (10 papers) and Corneal surgery and disorders (9 papers). Hope M Queener collaborates with scholars based in United States, Canada and United Kingdom. Hope M Queener's co-authors include Fernando Romero‐Borja, Austin Roorda, Melanie C. W. Campbell, T.J. Hebert, William J. Donnelly, Jason Porter, Nripun Sredar, Lisa A. Ostrin, Chaohong Li and Nimesh B. Patel and has published in prestigious journals such as PLoS ONE, Scientific Reports and Optics Express.

In The Last Decade

Hope M Queener

29 papers receiving 1.1k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Hope M Queener	727	557	406	369	174	30	1.1k
Nathan Doble	649 0.9×	419 0.8×	370 0.9×	277 0.8×	263 1.5×	57	1.1k
Jungtae Rha	1.0k 1.4×	565 1.0×	391 1.0×	497 1.3×	535 3.1×	33	1.5k
Ethan A. Rossi	850 1.2×	455 0.8×	388 1.0×	203 0.6×	441 2.5×	59	1.3k
Stacey S. Choi	903 1.2×	672 1.2×	297 0.7×	463 1.3×	247 1.4×	52	1.2k
George W. Hughes	912 1.3×	697 1.3×	235 0.6×	331 0.9×	198 1.1×	13	1.3k
Bradford Howland	403 0.6×	366 0.7×	487 1.2×	116 0.3×	72 0.4×	22	1000
Ramkumar Sabesan	615 0.8×	637 1.1×	573 1.4×	202 0.5×	259 1.5×	68	1.2k
Meritxell Vilaseca	586 0.8×	578 1.0×	484 1.2×	154 0.4×	38 0.2×	92	1.3k
Kazuhiro Kurokawa	701 1.0×	537 1.0×	98 0.2×	739 2.0×	276 1.6×	52	1.3k
Omer P. Kocaoglu	851 1.2×	593 1.1×	157 0.4×	597 1.6×	363 2.1×	35	1.1k

Countries citing papers authored by Hope M Queener

Since Specialization

Citations

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

Fields of papers citing papers by Hope M Queener

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hope M Queener

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