Caroline Martin

4.4k total citations · 2 hit papers
6 papers, 2.4k citations indexed

About

Caroline Martin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Caroline Martin has authored 6 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Social Psychology. Recurrent topics in Caroline Martin's work include Single-cell and spatial transcriptomics (3 papers), Hearing, Cochlea, Tinnitus, Genetics (1 paper) and Mitochondrial Function and Pathology (1 paper). Caroline Martin is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Hearing, Cochlea, Tinnitus, Genetics (1 paper) and Mitochondrial Function and Pathology (1 paper). Caroline Martin collaborates with scholars based in United States, France and Spain. Caroline Martin's co-authors include Evan Z. Macosko, Charles Vanderburg, Joshua D. Welch, Evan Murray, Samuel G. Rodriques, Robert R. Stickels, Aleksandrina Goeva, Fei Chen, Velina Kozareva and Ashley N. Ferreira and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Caroline Martin

6 papers receiving 2.3k citations

Hit Papers

Slide-seq: A scalable technology for measuring genome-wid... 2019 2026 2021 2023 2019 2019 400 800 1.2k
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.

  1. Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution
    2019 1.4k citations Samuel G. Rodriques, Robert R. Stickels et al. Science profile →
  2. Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity
    2019 686 citations Joshua D. Welch, Velina Kozareva et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Martin United States 6 2.0k 420 377 352 204 6 2.4k
Robert R. Stickels United States 6 2.0k 1.0× 438 1.0× 367 1.0× 359 1.0× 150 0.7× 6 2.3k
Noushin Koulena United States 7 1.5k 0.8× 243 0.6× 225 0.6× 343 1.0× 91 0.4× 9 1.8k
Aleksandrina Goeva United States 7 2.3k 1.2× 537 1.3× 372 1.0× 381 1.1× 407 2.0× 12 3.0k
José Fernández Navarro Sweden 16 1.7k 0.9× 368 0.9× 297 0.8× 281 0.8× 148 0.7× 18 2.0k
Tyler Burks United States 2 1.4k 0.7× 213 0.5× 248 0.7× 174 0.5× 141 0.7× 3 1.7k
Monika S. Kowalczyk United States 15 2.1k 1.0× 743 1.8× 561 1.5× 167 0.5× 122 0.6× 17 3.1k
Blue B. Lake United States 17 1.6k 0.8× 156 0.4× 297 0.8× 136 0.4× 176 0.9× 21 1.9k
Inbal Avraham‐Davidi Israel 9 901 0.5× 255 0.6× 207 0.5× 102 0.3× 241 1.2× 11 1.3k
Mauro J. Muraro Netherlands 15 1.5k 0.7× 357 0.8× 363 1.0× 221 0.6× 127 0.6× 19 2.3k
Omer Ali Bayraktar United States 12 1.2k 0.6× 301 0.7× 178 0.5× 98 0.3× 181 0.9× 19 1.7k

Countries citing papers authored by Caroline Martin

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Martin

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

All Works

6 of 6 papers shown
1.
Kozareva, Velina, Caroline Martin, Tomás Osorno, et al.. (2021). A transcriptomic atlas of mouse cerebellar cortex comprehensively defines cell types. Nature. 598(7879). 214–219. 158 indexed citations
2.
Rodriques, Samuel G., Robert R. Stickels, Aleksandrina Goeva, et al.. (2019). Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution. Science. 363(6434). 1463–1467. 1378 indexed citations breakdown →
3.
Welch, Joshua D., Velina Kozareva, Ashley N. Ferreira, et al.. (2019). Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity. Cell. 177(7). 1873–1887.e17. 686 indexed citations breakdown →
4.
Kottick, Andrew, Caroline Martin, & Christopher A. Del Negro. (2017). Fate mapping neurons and glia derived from Dbx1-expressing progenitors in mouse preBötzinger complex. Physiological Reports. 5(11). e13300–e13300. 21 indexed citations
5.
Armesilla-Diaz, Alejandro, Paloma Bragado, Ignacio del Valle, et al.. (2008). p53 regulates the self-renewal and differentiation of neural precursors. Neuroscience. 158(4). 1378–1389. 75 indexed citations
6.
Martin, Caroline, Hervé Dubouchaud, Laurent Mosoni, et al.. (2007). Abnormalities of mitochondrial functioning can partly explain the metabolic disorders encountered in sarcopenic gastrocnemius. Aging Cell. 6(2). 165–177. 36 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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2026