Caroline Martin

4.4k citations
6 papers · 2.4k indexed · 2 hit papers · h-index 6
Topics
Single-cell and spatial transcriptomics (3 papers)Hearing, Cochlea, Tinnitus, Genetics (1 paper)Mitochondrial Function and Pathology (1 paper)
Partner nations
United StatesSpainFrance

In The Last Decade

Caroline Martin

6 papers receiving 2.3k citations

Hit Papers

Slide-seq: A scalable technology for measuring genome-wid...2019202620212023201920194008001.2k

Peers

Caroline Martin
Comparison fields: 5 of 109
  • Molecular Biology 2.0k
  • Immunology 420
  • Cancer Research 377
  • Biophysics 352
  • Neurology 204
Replace Aleksandrina Goeva with:
Aleksandrina Goeva United States
Robert R. Stickels United States
Lucas T. Graybuck United States
Noushin Koulena United States
Monika S. Kowalczyk United States
Mauro J. Muraro Netherlands
Sebastian Preißl United States
José Fernández Navarro Sweden
Inbal Avraham‐Davidi Israel
Nicholas M. Tran United States
Caroline Martin relative to Aleksandrina Goeva United States Aleksandrina Goeva's profile →
Citations per field
00.5×
Aleksandrina Goeva · 1×
Citations per year

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
#WorkIndexed citations
1 158
2
Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolutionbreakdown →
1378
3
Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identitybreakdown →
686
4 21
5 75
6 36

About Caroline Martin

Caroline Martin is a scholar working on Developmental Neuroscience, Sensory Systems and Biophysics, having authored 6 papers that have together received 2.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Hearing, Cochlea, Tinnitus, Genetics (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Biophysics (352 citations), Molecular Biology (2.0k citations) and Cancer Research (377 citations). Caroline Martin has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Evan Z. Macosko, Charles Vanderburg, Joshua D. Welch, Fei Chen, Samuel G. Rodriques, Evan Murray, Robert R. Stickels, Aleksandrina Goeva, Velina Kozareva and Ashley N. Ferreira. Their work appears in journals such as Nature, Science and Cell.

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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