Samuel G. Rodriques

3.2k citations
9 papers · 1.6k indexed · 1 hit paper · h-index 7
Topics
Single-cell and spatial transcriptomics (2 papers)Advanced biosensing and bioanalysis techniques (2 papers)Quantum Computing Algorithms and Architecture (1 paper)

In The Last Decade

Samuel G. Rodriques

9 papers receiving 1.6k citations

Hit Papers

Slide-seq: A scalable technology for measuring genome-wid...201920262021202320194008001.2k

Peers

Samuel G. Rodriques
Comparison fields: 5 of 120
  • Molecular Biology 1.2k
  • Immunology 281
  • Cancer Research 237
  • Biophysics 235
  • Biomedical Engineering 170
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Felice-Alessio Bava United States
Naren Tallapragada United States
John G. Lock Australia
Ina Radtke Germany
Evan R Daugharthy United States
Nalan Liv Netherlands
Anne Weston United Kingdom
Irina Zaretsky Israel
Raymond Cheong United States
Yanxiang Deng United States
Samuel G. Rodriques relative to Felice-Alessio Bava United States Felice-Alessio Bava's profile →
Citations per field
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Citations per year

Countries citing papers authored by Samuel G. Rodriques

Since Specialization
Citations

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

Fields of papers citing papers by Samuel G. Rodriques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel G. Rodriques. 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 Samuel G. Rodriques. The network helps show where Samuel G. Rodriques may publish in the future.

Co-authorship network of co-authors of Samuel G. Rodriques

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 7
3 9
4 24
5
Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolutionbreakdown →
1378
6 12
7 128
8 3
9 19

About Samuel G. Rodriques

Samuel G. Rodriques is a scholar working on Biophysics, Statistics, Probability and Uncertainty and Neurology, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Quantum Computing Algorithms and Architecture (1 paper). The work is most often cited by research in Biophysics (235 citations), Molecular Biology (1.2k citations) and Cancer Research (237 citations). Samuel G. Rodriques has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Fei Chen, Evan Z. Macosko, Joshua D. Welch, Evan Murray, Charles Vanderburg, Robert R. Stickels, Aleksandrina Goeva, Caroline Martin, Adam Marblestone and Edward S. Boyden. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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