Sarah Smith

21 total papers · 1.1k total citations
6 papers, 553 citations indexed

About

Sarah Smith is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Sarah Smith has authored 6 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Oncology. Recurrent topics in Sarah Smith's work include CRISPR and Genetic Engineering (4 papers), CAR-T cell therapy research (3 papers) and Virus-based gene therapy research (3 papers). Sarah Smith is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), CAR-T cell therapy research (3 papers) and Virus-based gene therapy research (3 papers). Sarah Smith collaborates with scholars based in United States, United Kingdom and Japan. Sarah Smith's co-authors include J. Kenneth Baillie, Stefano Gustincich, Piero Carninci, Patrizia Rizzu, Tom C. Freeman, Jeffrey A. Jeddeloh, Mark Barnett, Paul M. Brennan, David Hume and John S. Mattick and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Sarah Smith

6 papers receiving 549 citations

Hit Papers

Somatic retrotranspositio... 2011 2026 2016 2021 2011 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
Sarah Smith 460 305 181 63 17 6 553
Mark Fell 456 1.0× 314 1.0× 178 1.0× 60 1.0× 14 0.8× 5 586
Emily Trimm 320 0.7× 168 0.6× 111 0.6× 44 0.7× 21 1.2× 6 528
Catherine Tan 570 1.2× 98 0.3× 212 1.2× 56 0.9× 14 0.8× 6 693
Melissa Vetter 516 1.1× 429 1.4× 108 0.6× 35 0.6× 22 1.3× 8 594
Huntington F. Willard 396 0.9× 196 0.6× 308 1.7× 20 0.3× 11 0.6× 13 588
Marcelo A. Nóbrega 562 1.2× 111 0.4× 166 0.9× 42 0.7× 6 0.4× 5 660
Kátia M.S. Cabral 447 1.0× 101 0.3× 121 0.7× 45 0.7× 19 1.1× 10 641
Diane M. Bushman 380 0.8× 97 0.3× 174 1.0× 108 1.7× 8 0.5× 7 557
Filippo Ciabrelli 587 1.3× 334 1.1× 87 0.5× 76 1.2× 5 0.3× 8 665
Frank W. Schmitges 600 1.3× 89 0.3× 70 0.4× 44 0.7× 20 1.2× 7 671

Countries citing papers authored by Sarah Smith

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah Smith. 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 Sarah Smith. The network helps show where Sarah Smith may publish in the future.

Co-authorship network of co-authors of Sarah Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Smith. A scholar is included among the top collaborators of Sarah Smith 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 Sarah Smith. Sarah Smith 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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