Evan R Daugharthy

2.6k citations
6 papers · 1.5k indexed · 1 hit paper · h-index 6
Topics
Single-cell and spatial transcriptomics (3 papers)RNA Research and Splicing (3 papers)Molecular Biology Techniques and Applications (3 papers)
Partner nations
United StatesSpain

In The Last Decade

Evan R Daugharthy

6 papers receiving 1.5k citations

Hit Papers

Highly Multiplexed Subcellular RNA Sequencing in Situ20142026201820222014200400600

Peers

Evan R Daugharthy
Comparison fields: 5 of 96
  • Molecular Biology 1.3k
  • Biophysics 369
  • Cancer Research 252
  • Biomedical Engineering 153
  • Immunology 142
Replace Je Hyuk Lee with:
Je Hyuk Lee United States
Brian M. Turczyk United States
Sinem K. Saka Germany
Ulrike Schnell United States
Alec R. Chapman United States
Brian J. Beliveau United States
Yolanda Markaki Germany
Yodai Takei United States
James Monypenny United Kingdom
Felice-Alessio Bava United States
Evan R Daugharthy relative to Je Hyuk Lee United States Je Hyuk Lee's profile →
Citations per field
00.5×1.5×
Je Hyuk Lee · 1×
Citations per year

Countries citing papers authored by Evan R Daugharthy

Since Specialization
Citations

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

Fields of papers citing papers by Evan R Daugharthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evan R Daugharthy. 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 Evan R Daugharthy. The network helps show where Evan R Daugharthy may publish in the future.

Co-authorship network of co-authors of Evan R Daugharthy

This figure shows the co-authorship network connecting the top 25 collaborators of Evan R Daugharthy. A scholar is included among the top collaborators of Evan R Daugharthy 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 Evan R Daugharthy. Evan R Daugharthy 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
1 107
2 5
3 268
4 387
5
Highly Multiplexed Subcellular RNA Sequencing in Situbreakdown →
693
6 18

About Evan R Daugharthy

Evan R Daugharthy is a scholar working on Biophysics, Molecular Biology and Infectious Diseases, having authored 6 papers that have together received 1.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), RNA Research and Splicing (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Biophysics (369 citations), Structural Biology (68 citations) and Molecular Biology (1.3k citations). Evan R Daugharthy has collaborated with scholars based in United States and Spain. Frequent co-authors include George M. Church, John Aach, Brian M. Turczyk, Je Hyuk Lee, Joyce Yang, Reza Kalhor, Thomas C. Ferrante, Jonathan Scheiman, Adam Marblestone and Samuel A. Inverso. Their work appears in journals such as Science, Nature Methods and Nature Protocols.

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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