Sara P. Gaucher

37 total papers · 3.9k total citations
24 papers, 1.6k citations indexed

About

Sara P. Gaucher is a scholar working on Molecular Biology, Spectroscopy and Biotechnology. According to data from OpenAlex, Sara P. Gaucher has authored 24 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Spectroscopy and 3 papers in Biotechnology. Recurrent topics in Sara P. Gaucher's work include Mass Spectrometry Techniques and Applications (10 papers), Analytical Chemistry and Chromatography (8 papers) and Glycosylation and Glycoproteins Research (5 papers). Sara P. Gaucher is often cited by papers focused on Mass Spectrometry Techniques and Applications (10 papers), Analytical Chemistry and Chromatography (8 papers) and Glycosylation and Glycoproteins Research (5 papers). Sara P. Gaucher collaborates with scholars based in United States and Denmark. Sara P. Gaucher's co-authors include Julie A. Leary, Bradford W. Gibson, Dale E. Warnock, Steven W. Taylor, Soumitra S. Ghosh, Eoin Fahy, Gary Glenn, Bing Zhang, Roderick Capaldi and Sandra E. Wiley and has published in prestigious journals such as Nature Biotechnology, Analytical Chemistry and Biochemistry.

In The Last Decade

Sara P. Gaucher

24 papers receiving 1.5k citations

Hit Papers

Characterization of the h... 2003 2026 2010 2018 2003 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Sara P. Gaucher 1.2k 473 145 117 112 24 1.6k
John S. Rieske 1.3k 1.1× 216 0.5× 234 1.6× 133 1.1× 55 0.5× 32 1.7k
Narciso Couto 863 0.7× 197 0.4× 161 1.1× 38 0.3× 71 0.6× 36 1.8k
Sophie Haebel 906 0.8× 404 0.9× 97 0.7× 32 0.3× 76 0.7× 51 1.9k
Jonathan G. Van Vranken 1.5k 1.3× 229 0.5× 179 1.2× 197 1.7× 39 0.3× 21 2.1k
Earl E. Jacobs 1.2k 1.0× 154 0.3× 107 0.7× 205 1.8× 67 0.6× 31 1.9k
Walter Shaw 1.4k 1.2× 463 1.0× 29 0.2× 79 0.7× 84 0.8× 12 2.1k
Francis E. Stolzenbach 1.4k 1.2× 174 0.4× 77 0.5× 182 1.6× 119 1.1× 28 2.1k
Owen S. Skinner 1.3k 1.1× 754 1.6× 27 0.2× 113 1.0× 54 0.5× 33 2.0k
Reetta Raag 964 0.8× 181 0.4× 38 0.3× 80 0.7× 83 0.7× 19 1.8k
George A. Blondin 964 0.8× 87 0.2× 74 0.5× 91 0.8× 81 0.7× 49 1.6k

Countries citing papers authored by Sara P. Gaucher

Since Specialization
Citations

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

Fields of papers citing papers by Sara P. Gaucher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara P. Gaucher

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