Tara Chari

1.0k total citations · 1 hit paper
9 papers, 361 citations indexed

About

Tara Chari is a scholar working on Molecular Biology, Biophysics and Infectious Diseases. According to data from OpenAlex, Tara Chari has authored 9 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Biophysics and 1 paper in Infectious Diseases. Recurrent topics in Tara Chari's work include Single-cell and spatial transcriptomics (7 papers), Gene Regulatory Network Analysis (5 papers) and RNA Research and Splicing (3 papers). Tara Chari is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Gene Regulatory Network Analysis (5 papers) and RNA Research and Splicing (3 papers). Tara Chari collaborates with scholars based in United States and France. Tara Chari's co-authors include Lior Pachter, Gennady Gorin, David J. Anderson, Lucas Leclère, Richard R. Copley, Brandon Weissbourd, Jase Gehring, Sandra Chevalier, Fan Gao and Evelyn Houliston and has published in prestigious journals such as Nature, Nature Biotechnology and Nature Methods.

In The Last Decade

Tara Chari

9 papers receiving 357 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.

The specious art of single-cell genomics

2023 143 citations Tara Chari, Lior Pachter PLoS Computational Biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tara Chari United States	7	265	60	36	31	30	9	361
Johann de Jong Netherlands	14	634 2.4×	14 0.2×	51 1.4×	23 0.7×	33 1.1×	23	865
Cong Liang China	10	210 0.8×	13 0.2×	84 2.3×	20 0.6×	72 2.4×	22	365
Erik Segerdell United States	13	532 2.0×	26 0.4×	23 0.6×	11 0.4×	30 1.0×	19	663
Ceri E. Van Slyke United States	11	509 1.9×	54 0.9×	43 1.2×	5 0.2×	39 1.3×	17	666
François Bertaux France	12	380 1.4×	57 0.9×	31 0.9×	4 0.1×	14 0.5×	18	490
Carolyn Teragawa United States	10	219 0.8×	20 0.3×	50 1.4×	71 2.3×	65 2.2×	12	412
Jean‐Baptiste Pettit United Kingdom	5	473 1.8×	82 1.4×	67 1.9×	4 0.1×	53 1.8×	6	559
Kyle Medley United States	8	243 0.9×	18 0.3×	8 0.2×	37 1.2×	8 0.3×	16	328
Sarah Aldridge United Kingdom	5	673 2.5×	27 0.5×	133 3.7×	9 0.3×	58 1.9×	6	814
Victor O. Leshyk United States	6	407 1.5×	18 0.3×	19 0.5×	6 0.2×	18 0.6×	7	491

Countries citing papers authored by Tara Chari

Since Specialization

Citations

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

Fields of papers citing papers by Tara Chari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tara Chari

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

All Works

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9 of 9 papers shown

1.

Luebbert, Laura, Delaney K. Sullivan, Kristján Eldjárn Hjörleifsson, et al.. (2025). Detection of viral sequences at single-cell resolution identifies novel viruses associated with host gene expression changes. Nature Biotechnology. 44(1). 100–109. 4 indexed citations

2.

Gorin, Gennady, et al.. (2025). Monod: model-based discovery and integration through fitting stochastic transcriptional dynamics to single-cell sequencing data. Nature Methods. 22(11). 2286–2300. 1 indexed citations

3.

Gorin, Gennady, et al.. (2024). Biophysical modeling with variational autoencoders for bimodal, single-cell RNA sequencing data. Nature Methods. 21(8). 1466–1469. 12 indexed citations

4.

Gorin, Gennady, et al.. (2024). Spectral neural approximations for models of transcriptional dynamics. Biophysical Journal. 123(17). 2892–2901. 6 indexed citations

5.

Bhat, Prashant, Amy Chow, Benjamin Emert, et al.. (2024). Genome organization around nuclear speckles drives mRNA splicing efficiency. Nature. 629(8014). 1165–1173. 51 indexed citations

6.

Chari, Tara, Gennady Gorin, & Lior Pachter. (2024). Biophysically interpretable inference of cell types from multimodal sequencing data. Nature Computational Science. 4(9). 677–689. 6 indexed citations

7.

Chari, Tara & Lior Pachter. (2023). The specious art of single-cell genomics. PLoS Computational Biology. 19(8). e1011288–e1011288. 143 indexed citations breakdown →

8.

Gorin, Gennady, et al.. (2022). RNA velocity unraveled. PLoS Computational Biology. 18(9). e1010492–e1010492. 80 indexed citations

9.

Chari, Tara, Brandon Weissbourd, Jase Gehring, et al.. (2021). Whole-animal multiplexed single-cell RNA-seq reveals transcriptional shifts across Clytia medusa cell types. Science Advances. 7(48). eabh1683–eabh1683. 58 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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