Marilynn S. Ueno

11 total papers · 517 total citations
11 papers, 446 citations indexed

About

Marilynn S. Ueno is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Condensed Matter Physics. According to data from OpenAlex, Marilynn S. Ueno has authored 11 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Condensed Matter Physics. Recurrent topics in Marilynn S. Ueno's work include Protist diversity and phylogeny (6 papers), Reproductive Biology and Fertility (2 papers) and Sperm and Testicular Function (2 papers). Marilynn S. Ueno is often cited by papers focused on Protist diversity and phylogeny (6 papers), Reproductive Biology and Fertility (2 papers) and Sperm and Testicular Function (2 papers). Marilynn S. Ueno collaborates with scholars based in United States. Marilynn S. Ueno's co-authors include B. Jane Rogers, Ralph W. Hale, Hovey Lambert, Richard Bronson, Hana Van Campen, Agnes K. Fok, Richard D. Allen, Leonard W. Pollard, Ryuzo Yanagimachi and Bryan Goodwin and has published in prestigious journals such as Journal of Cell Science, Annals of the New York Academy of Sciences and Fertility and Sterility.

In The Last Decade

Marilynn S. Ueno

11 papers receiving 426 citations

Author Peers

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

Author Last Decade Papers Cites
Marilynn S. Ueno 255 255 129 50 30 11 446
N. L. Cross 225 0.9× 300 1.2× 124 1.0× 40 0.8× 16 0.5× 10 432
R. Shalgi 278 1.1× 301 1.2× 129 1.0× 77 1.5× 19 0.6× 23 481
F. Dacheux 143 0.6× 263 1.0× 146 1.1× 76 1.5× 26 0.9× 15 493
Kenneth C. Drury 189 0.7× 118 0.5× 137 1.1× 89 1.8× 50 1.7× 20 419
Gerácimo E. Bracho 162 0.6× 183 0.7× 117 0.9× 51 1.0× 18 0.6× 12 419
Cintia Stival 267 1.0× 314 1.2× 90 0.7× 54 1.1× 12 0.4× 15 400
M. Lalli 169 0.7× 269 1.1× 136 1.1× 91 1.8× 65 2.2× 16 428
John E. Gould 180 0.7× 206 0.8× 74 0.6× 97 1.9× 25 0.8× 14 388
Alejandra Piazza 285 1.1× 356 1.4× 92 0.7× 55 1.1× 15 0.5× 11 449
Arjun L. Kadam 154 0.6× 181 0.7× 63 0.5× 42 0.8× 13 0.4× 22 418

Countries citing papers authored by Marilynn S. Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Marilynn S. Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marilynn S. Ueno. 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 Marilynn S. Ueno. The network helps show where Marilynn S. Ueno may publish in the future.

Co-authorship network of co-authors of Marilynn S. Ueno

This figure shows the co-authorship network connecting the top 25 collaborators of Marilynn S. Ueno. A scholar is included among the top collaborators of Marilynn S. Ueno 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 Marilynn S. Ueno. Marilynn S. Ueno 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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