Wanda G. Rasmussen

10 total papers · 417 total citations
8 papers, 327 citations indexed

About

Wanda G. Rasmussen is a scholar working on Microbiology, Hematology and Ecology. According to data from OpenAlex, Wanda G. Rasmussen has authored 8 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Microbiology, 3 papers in Hematology and 2 papers in Ecology. Recurrent topics in Wanda G. Rasmussen's work include Microbial infections and disease research (8 papers), Blood groups and transfusion (3 papers) and Reproductive tract infections research (2 papers). Wanda G. Rasmussen is often cited by papers focused on Microbial infections and disease research (8 papers), Blood groups and transfusion (3 papers) and Reproductive tract infections research (2 papers). Wanda G. Rasmussen collaborates with scholars based in United States and France. Wanda G. Rasmussen's co-authors include Joel B. Baseman, Subramanian Dhandayuthapani, Cécile Bébéar, Marianna P. Cagle, Rochelle N. Shain, Jeanna Piper, Jeffrey E. Korte and Janet Baseman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Bacteriology and Journal of Clinical Microbiology.

In The Last Decade

Wanda G. Rasmussen

8 papers receiving 318 citations

Author Peers

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

Author						Papers	Cites
Wanda G. Rasmussen	248	94	85	60	58	8	327
Katie Miles	196 0.8×	60 0.6×	87 1.0×	43 0.7×	69 1.2×	10	328
E. Klieneberger‐Nobel	95 0.4×	60 0.6×	46 0.5×	69 1.1×	5 0.1×	15	325
Donald B. Riggs	149 0.6×	108 1.1×	46 0.5×	45 0.8×	4 0.1×	12	317
Jo Ann Dempsey	185 0.7×	67 0.7×	32 0.4×	133 2.2×	12 0.2×	9	354
Xiaoxing You	108 0.4×	103 1.1×	19 0.2×	55 0.9×	11 0.2×	17	298
Katherine L. Palmer	162 0.7×	134 1.4×	27 0.3×	44 0.7×	55 0.9×	9	353
Luella D. Scholtes	96 0.4×	170 1.8×	26 0.3×	98 1.6×	7 0.1×	7	349
Carolyn M. Buckwalter	84 0.3×	109 1.2×	14 0.2×	127 2.1×	28 0.5×	9	359
Jason L. Furrer	115 0.5×	37 0.4×	22 0.3×	120 2.0×	20 0.3×	5	355
Benjamin M. Hasselbring	250 1.0×	172 1.8×	102 1.2×	65 1.1×	23 0.4×	9	344

Countries citing papers authored by Wanda G. Rasmussen

Since Specialization

Citations

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

Fields of papers citing papers by Wanda G. Rasmussen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wanda G. Rasmussen. 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 Wanda G. Rasmussen. The network helps show where Wanda G. Rasmussen may publish in the future.

Co-authorship network of co-authors of Wanda G. Rasmussen

This figure shows the co-authorship network connecting the top 25 collaborators of Wanda G. Rasmussen. A scholar is included among the top collaborators of Wanda G. Rasmussen 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 Wanda G. Rasmussen. Wanda G. Rasmussen 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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