Sarah Lindo

1.9k total citations · 1 hit paper
7 papers, 1.2k citations indexed

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 1.2k 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 Neural dynamics and brain function (2 papers), CRISPR and Genetic Engineering (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Sarah Lindo is often cited by papers focused on Neural dynamics and brain function (2 papers), CRISPR and Genetic Engineering (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Sarah Lindo collaborates with scholars based in United States, Canada and Israel. Sarah Lindo's co-authors include Joshua T. Dudman, Jackie Schiller, Thomas Gaj, D. Gowanlock R. Tervo, Adam W. Hantman, David V. Schaffer, Kimberly Ritola, Е. П. Кулешова, Alla Y. Karpova and Loren L. Looger and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Sarah Lindo

7 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Designer AAV Variant Permits Efficient Retrograde Access to Projection Neurons

2016 830 citations D. Gowanlock R. Tervo, Sarada Viswanathan et al. Neuron profile →

Peers

Sarah Lindo

CMN

CN

MB

GENET

SP

Benjamin W. Okaty United States

D. Gowanlock R. Tervo United States

Е. П. Кулешова Russia

Julia Cox United States

Drew Friedmann United States

Cora Sau Wan Lai Hong Kong

Laura A. DeNardo United States

Shigeki Kato Japan

Akiya Watakabe Japan

Minsuk Hyun United States

Benjamin W. Okaty United States

Sarah Lindo

581 ×0.9

CMN

367 ×0.7

CN

560 ×1.4

MB

142 ×0.9

GENET

118 ×1.0

SP

Citations per year, relative to Sarah Lindo Sarah Lindo (= 1×) peers Benjamin W. Okaty

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).

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.

Co-authorship network of co-authors of Sarah Lindo

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Lindo. A scholar is included among the top collaborators of Sarah Lindo 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 Lindo. Sarah Lindo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Coddington, Luke T., Sarah Lindo, & Joshua T. Dudman. (2023). Mesolimbic dopamine adapts the rate of learning from action. Nature. 614(7947). 294–302. 61 indexed citations

2.

Espinosa-Medina, Isabel, Daniel Feliciano, Rosa Linda Miyares, et al.. (2022). TEMPO enables sequential genetic labeling and manipulation of vertebrate cell lineages. Neuron. 111(3). 345–361.e10. 5 indexed citations

3.

Stringer, Carsen, Michalis Michaelos, Dmitri Tsyboulski, Sarah Lindo, & Marius Pachitariu. (2021). High-precision coding in visual cortex. Cell. 184(10). 2767–2778.e15. 76 indexed citations

4.

Sun, Weinan, et al.. (2020). A Sparse, Spatially Biased Subtype of Mature Granule Cell Dominates Recruitment in Hippocampal-Associated Behaviors. Cell Reports. 31(4). 107551–107551. 45 indexed citations

5.

Shields, Brenda C., Pierre F. Apostolides, Jennifer Brown, et al.. (2017). Deconstructing behavioral neuropharmacology with cellular specificity. Science. 356(6333). 92 indexed citations

6.

Tervo, D. Gowanlock R., Sarada Viswanathan, Thomas Gaj, et al.. (2016). A Designer AAV Variant Permits Efficient Retrograde Access to Projection Neurons. Neuron. 92(2). 372–382. 830 indexed citations breakdown →

7.

Miall, R. Chris, et al.. (2005). Performing hand actions assists the visual discrimination of similar hand postures. Neuropsychologia. 44(6). 966–976. 47 indexed citations

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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