Sarah Lindo

About

Sarah Lindo is a scholar working on Molecular Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sarah Lindo has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cognitive Neuroscience and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sarah Lindo’s work include CRISPR and Genetic Engineering (2 papers), Receptor Mechanisms and Signaling (2 papers) and Neural dynamics and brain function (2 papers). Sarah Lindo is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Receptor Mechanisms and Signaling (2 papers) and Neural dynamics and brain function (2 papers). Sarah Lindo collaborates with scholars based in United States, Canada and United Kingdom. Sarah Lindo's co-authors include Joshua T. Dudman, Sarada Viswanathan, Loren L. Looger, Alla Y. Karpova, Thomas Gaj, David S. Ojala, Е. П. Кулешова, Kimberly Ritola, Adam W. Hantman and David V. Schaffer and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Co-authorship network of co-authors of Sarah Lindo i

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Fields of papers citing papers by Sarah Lindo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sarah Lindo

Since Specialization

Citations

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

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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