Evan R Daugharthy

2.6k total citations · 1 hit paper
6 papers, 1.5k citations indexed

About

Evan R Daugharthy is a scholar working on Molecular Biology, Biophysics and Infectious Diseases. According to data from OpenAlex, Evan R Daugharthy has authored 6 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Biophysics and 0 papers in Infectious Diseases. Recurrent topics in Evan R Daugharthy's work include Single-cell and spatial transcriptomics (3 papers), RNA Research and Splicing (3 papers) and Molecular Biology Techniques and Applications (3 papers). Evan R Daugharthy is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), RNA Research and Splicing (3 papers) and Molecular Biology Techniques and Applications (3 papers). Evan R Daugharthy collaborates with scholars based in United States and Spain. Evan R Daugharthy's 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 and has published in prestigious journals such as Science, Nature Methods and Nature Protocols.

In The Last Decade

Evan R Daugharthy

6 papers receiving 1.5k citations

Hit Papers

Highly Multiplexed Subcellular RNA Sequencing in Situ 2014 2026 2018 2022 2014 200 400 600
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. Highly Multiplexed Subcellular RNA Sequencing in Situ
    2014 693 citations Je Hyuk Lee, Evan R Daugharthy et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evan R Daugharthy United States 6 1.3k 369 252 153 142 6 1.5k
Brian M. Turczyk United States 6 1.3k 1.0× 219 0.6× 241 1.0× 106 0.7× 134 0.9× 7 1.4k
Je Hyuk Lee United States 7 1.2k 0.9× 248 0.7× 275 1.1× 114 0.7× 154 1.1× 10 1.3k
Sinem K. Saka Germany 13 988 0.8× 356 1.0× 85 0.3× 249 1.6× 79 0.6× 19 1.3k
Felice-Alessio Bava United States 11 1.5k 1.2× 270 0.7× 241 1.0× 164 1.1× 232 1.6× 13 1.8k
Katrin E. Wiese Germany 7 1.2k 0.9× 174 0.5× 158 0.6× 64 0.4× 104 0.7× 11 1.5k
Marion Peter France 23 1.7k 1.4× 257 0.7× 113 0.4× 81 0.5× 87 0.6× 38 2.2k
Yolanda Markaki Germany 22 1.6k 1.2× 396 1.1× 244 1.0× 145 0.9× 59 0.4× 25 2.0k
Alec R. Chapman United States 7 1.3k 1.0× 338 0.9× 614 2.4× 197 1.3× 68 0.5× 8 1.9k
Ulrike Schnell United States 10 476 0.4× 184 0.5× 70 0.3× 89 0.6× 64 0.5× 13 853
Yodai Takei United States 8 2.4k 1.9× 341 0.9× 332 1.3× 100 0.7× 259 1.8× 11 2.7k

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
1.
Nguyen, Huy Q., Shyamtanu Chattoraj, David Castillo, et al.. (2020). 3D mapping and accelerated super-resolution imaging of the human genome using in situ sequencing. Nature Methods. 17(8). 822–832. 107 indexed citations
2.
Turczyk, Brian M., Michele Busby, Evan R Daugharthy, et al.. (2020). Spatial Sequencing: A Perspective. Journal of Biomolecular Techniques JBT. 31(2). jbt.20–3102. 5 indexed citations
3.
Chen, Fei, Asmamaw T. Wassie, Allison Coté, et al.. (2016). Nanoscale imaging of RNA with expansion microscopy. Nature Methods. 13(8). 679–684. 268 indexed citations
4.
Lee, Je Hyuk, Evan R Daugharthy, Jonathan Scheiman, et al.. (2015). Fluorescent in situ sequencing (FISSEQ) of RNA for gene expression profiling in intact cells and tissues. Nature Protocols. 10(3). 442–458. 387 indexed citations
5.
Lee, Je Hyuk, Evan R Daugharthy, Jonathan Scheiman, et al.. (2014). Highly Multiplexed Subcellular RNA Sequencing in Situ. Science. 343(6177). 1360–1363. 693 indexed citations breakdown →
6.
Daugharthy, Evan R, et al.. (2012). Pervasive Antisense Transcription Is Evolutionarily Conserved in Budding Yeast. Molecular Biology and Evolution. 30(2). 409–421. 18 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