Susan R. Singer

59 total papers · 3.0k total citations
33 papers, 1.2k citations indexed

About

Susan R. Singer is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Susan R. Singer has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 14 papers in Molecular Biology and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Susan R. Singer's work include Plant Molecular Biology Research (11 papers), Plant tissue culture and regeneration (9 papers) and Plant Reproductive Biology (7 papers). Susan R. Singer is often cited by papers focused on Plant Molecular Biology Research (11 papers), Plant tissue culture and regeneration (9 papers) and Plant Reproductive Biology (7 papers). Susan R. Singer collaborates with scholars based in United States, Australia and United Kingdom. Susan R. Singer's co-authors include Natalie Nielsen, Carl N. McDaniel, Julie Hofer, James L. Weller, Christine A. Beveridge, Susan M. Smith, Heidi A. Schweingruber, Scott A. Taylor, Ian C. Murfet and Daniel C. Ilut and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Susan R. Singer

32 papers receiving 1.1k citations

Hit Papers

Discipline‐Based Educatio... 2013 2026 2017 2021 2013 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Susan R. Singer 529 440 389 144 142 33 1.2k
Michael T. Stevens 245 0.5× 338 0.8× 131 0.3× 45 0.3× 71 0.5× 52 1.3k
Judith E. Miller 179 0.3× 322 0.7× 318 0.8× 67 0.5× 79 0.6× 48 986
Elisabeth E. Schussler 218 0.4× 625 1.4× 50 0.1× 70 0.5× 161 1.1× 49 1.5k
Anneke M. Metz 252 0.5× 155 0.4× 507 1.3× 27 0.2× 39 0.3× 29 1.0k
David W. Davis 704 1.3× 117 0.3× 214 0.6× 37 0.3× 26 0.2× 89 1.3k
Alice L. Mauchline 262 0.5× 247 0.6× 57 0.1× 12 0.1× 60 0.4× 40 1.1k
Joseph Dauer 522 1.0× 215 0.5× 139 0.4× 14 0.1× 114 0.8× 40 983
Mark Sanders 27 0.1× 515 1.2× 107 0.3× 114 0.8× 183 1.3× 61 1.1k
Angus L. Dawe 858 1.6× 152 0.3× 407 1.0× 60 0.4× 17 0.1× 30 1.3k
Joseph E. Armstrong 457 0.9× 129 0.3× 323 0.8× 23 0.2× 39 0.3× 45 974

Countries citing papers authored by Susan R. Singer

Since Specialization
Citations

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

Fields of papers citing papers by Susan R. Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan R. Singer. 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 Susan R. Singer. The network helps show where Susan R. Singer may publish in the future.

Co-authorship network of co-authors of Susan R. Singer

This figure shows the co-authorship network connecting the top 25 collaborators of Susan R. Singer. A scholar is included among the top collaborators of Susan R. Singer 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 Susan R. Singer. Susan R. Singer 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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