Sara E. Wirbisky

14 total papers · 698 total citations
12 papers, 549 citations indexed

About

Sara E. Wirbisky is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Sara E. Wirbisky has authored 12 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pediatrics, Perinatology and Child Health and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Sara E. Wirbisky's work include Birth, Development, and Health (3 papers), Fish Ecology and Management Studies (2 papers) and Environmental Toxicology and Ecotoxicology (2 papers). Sara E. Wirbisky is often cited by papers focused on Birth, Development, and Health (3 papers), Fish Ecology and Management Studies (2 papers) and Environmental Toxicology and Ecotoxicology (2 papers). Sara E. Wirbisky collaborates with scholars based in United States and China. Sara E. Wirbisky's co-authors include Jennifer L. Freeman, Gregory J. Weber, Marı́a S. Sepúlveda, Jason R. Cannon, Amber S. Jannasch, Pengpeng Bi, Feng Yue, Shihuan Kuang, Tsang-Long Lin and Jang-Won Lee and has published in prestigious journals such as The Journal of Experimental Medicine, Scientific Reports and eLife.

In The Last Decade

Sara E. Wirbisky

12 papers receiving 542 citations

Author Peers

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

Author Last Decade Papers Cites
Sara E. Wirbisky 197 184 129 68 68 12 549
Karla Johanning 184 0.9× 137 0.7× 106 0.8× 17 0.3× 25 0.4× 22 452
Caren M. Villano 105 0.5× 174 0.9× 25 0.2× 28 0.4× 103 1.5× 9 550
Gabriele E. Ackermann 219 1.1× 218 1.2× 187 1.4× 40 0.6× 46 0.7× 16 575
Bonnie H. Y. Yeung 112 0.6× 139 0.8× 41 0.3× 10 0.1× 67 1.0× 13 518
Caroline Cros 231 1.2× 146 0.8× 72 0.6× 87 1.3× 16 0.2× 14 556
Ben E. Machado 159 0.8× 176 1.0× 61 0.5× 194 2.9× 22 0.3× 7 604
Inger Porsch-Hällström 122 0.6× 109 0.6× 173 1.3× 58 0.9× 39 0.6× 19 521
Kimberly Brannen 191 1.0× 209 1.1× 39 0.3× 34 0.5× 32 0.5× 12 568
April Feswick 194 1.0× 101 0.5× 88 0.7× 42 0.6× 34 0.5× 24 586
Sylvie Veyrenc 110 0.6× 261 1.4× 74 0.6× 9 0.1× 72 1.1× 16 574

Countries citing papers authored by Sara E. Wirbisky

Since Specialization
Citations

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

Fields of papers citing papers by Sara E. Wirbisky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara E. Wirbisky. 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 Sara E. Wirbisky. The network helps show where Sara E. Wirbisky may publish in the future.

Co-authorship network of co-authors of Sara E. Wirbisky

This figure shows the co-authorship network connecting the top 25 collaborators of Sara E. Wirbisky. A scholar is included among the top collaborators of Sara E. Wirbisky 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 Sara E. Wirbisky. Sara E. Wirbisky 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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