Katherine Mancuso

15 total papers · 674 total citations
9 papers, 468 citations indexed

About

Katherine Mancuso is a scholar working on Molecular Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Katherine Mancuso has authored 9 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cognitive Neuroscience and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Katherine Mancuso's work include Retinal Development and Disorders (6 papers), Visual perception and processing mechanisms (4 papers) and Neurobiology and Insect Physiology Research (2 papers). Katherine Mancuso is often cited by papers focused on Retinal Development and Disorders (6 papers), Visual perception and processing mechanisms (4 papers) and Neurobiology and Insect Physiology Research (2 papers). Katherine Mancuso collaborates with scholars based in United States, Canada and Japan. Katherine Mancuso's co-authors include Maureen Neitz, Jay Neitz, Matthew C. Mauck, William W. Hauswirth, Thomas B. Connor, James A. Kuchenbecker, Qiuhong Li, Gregory D. Horwitz, Kowa Koida and E. N. Johnson and has published in prestigious journals such as Nature, Journal of Neuroscience and Journal of the Optical Society of America A.

In The Last Decade

Katherine Mancuso

9 papers receiving 447 citations

Author Peers

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

Author						Papers	Cites
Katherine Mancuso	212	156	91	72	66	9	468
James S. Collins	143 0.7×	103 0.7×	99 1.1×	26 0.4×	48 0.7×	16	528
Matthias Ott	109 0.5×	100 0.6×	79 0.9×	46 0.6×	56 0.8×	17	425
Holger Knau	228 1.1×	281 1.8×	75 0.8×	106 1.5×	54 0.8×	15	446
Suzanne Fenstemaker	121 0.6×	334 2.1×	185 2.0×	18 0.3×	101 1.5×	10	543
Steven J. Cool	166 0.8×	314 2.0×	156 1.7×	84 1.2×	33 0.5×	11	454
J. F. W. Nuboer	111 0.5×	131 0.8×	173 1.9×	16 0.2×	42 0.6×	31	510
Athanasios Panorgias	193 0.9×	152 1.0×	61 0.7×	165 2.3×	54 0.8×	27	438
A. Chaudhuri	160 0.8×	208 1.3×	192 2.1×	29 0.4×	45 0.7×	19	505
Juan‐Carlos Letelier	206 1.0×	122 0.8×	75 0.8×	5 0.1×	32 0.5×	20	468
Terry Benzschawel	100 0.5×	328 2.1×	32 0.4×	76 1.1×	145 2.2×	23	485

Countries citing papers authored by Katherine Mancuso

Since Specialization

Citations

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

Fields of papers citing papers by Katherine Mancuso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Mancuso

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