Timothy A. Daugird

666 total citations · 1 hit paper
8 papers, 399 citations indexed

About

Timothy A. Daugird is a scholar working on Molecular Biology, Biophysics and Structural Biology. According to data from OpenAlex, Timothy A. Daugird has authored 8 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Biophysics and 2 papers in Structural Biology. Recurrent topics in Timothy A. Daugird's work include Advanced Fluorescence Microscopy Techniques (5 papers), Cell Image Analysis Techniques (4 papers) and Single-cell and spatial transcriptomics (2 papers). Timothy A. Daugird is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (5 papers), Cell Image Analysis Techniques (4 papers) and Single-cell and spatial transcriptomics (2 papers). Timothy A. Daugird collaborates with scholars based in United States and Canada. Timothy A. Daugird's co-authors include Wesley R. Legant, Yi‐Hsuan Tsai, Samuel G. Mackintosh, Daniel P. Keeley, Hidetaka Uryu, Stephanie D. Byrum, Alan J. Tackett, Ricky D. Edmondson, Jie Li and Aaron J. Storey and has published in prestigious journals such as Nature, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Timothy A. Daugird

7 papers receiving 394 citations

Hit Papers

Phase separation drives aberrant chromatin looping and ca... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy A. Daugird United States 5 320 57 44 24 20 8 399
Linda Arngården Sweden 7 230 0.7× 9 0.2× 103 2.3× 64 2.7× 6 0.3× 8 308
Rakefet Ben-Yishay Israel 9 488 1.5× 39 0.7× 32 0.7× 44 1.8× 7 0.3× 15 578
Lisa Anna Jung Germany 5 277 0.9× 22 0.4× 10 0.2× 8 0.3× 3 0.1× 7 315
Pan Chen United States 10 245 0.8× 9 0.2× 65 1.5× 15 0.6× 2 0.1× 18 309
Indira Singaram United States 9 185 0.6× 9 0.2× 88 2.0× 6 0.3× 5 0.3× 10 244
Aude Guénolé United States 8 332 1.0× 35 0.6× 48 1.1× 24 1.0× 2 0.1× 10 390
Simonas Savickas Denmark 8 257 0.8× 21 0.4× 15 0.3× 47 2.0× 2 0.1× 13 362
Roshan L. Shrestha United Kingdom 10 335 1.0× 35 0.6× 234 5.3× 18 0.8× 3 0.1× 17 431
Diana Mahdessian Sweden 5 181 0.6× 25 0.4× 46 1.0× 9 0.4× 5 0.3× 6 228
Sudha Moparthy United States 6 139 0.4× 5 0.1× 38 0.9× 9 0.4× 8 0.4× 6 187

Countries citing papers authored by Timothy A. Daugird

Since Specialization
Citations

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

Fields of papers citing papers by Timothy A. Daugird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy A. Daugird. 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 Timothy A. Daugird. The network helps show where Timothy A. Daugird may publish in the future.

Co-authorship network of co-authors of Timothy A. Daugird

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

All Works

8 of 8 papers shown
1.
Daugird, Timothy A., et al.. (2025). Mapping the nuclear landscape with multiplexed super-resolution fluorescence microscopy. Nature Communications. 16(1). 6042–6042.
2.
Daugird, Timothy A., et al.. (2024). Cell dynamics revealed by microscopy advances. Current Opinion in Cell Biology. 90. 102418–102418. 1 indexed citations
3.
Zhang, Shu, et al.. (2024). Shared and redundant proteins coordinate signal cross-talk between MAPK pathways in yeast. Molecular Biology of the Cell. 35(10). ar126–ar126. 1 indexed citations
4.
Daugird, Timothy A., Yu Shi, Zhe Liu, et al.. (2024). Correlative single molecule lattice light sheet imaging reveals the dynamic relationship between nucleosomes and the local chromatin environment. Nature Communications. 15(1). 4178–4178. 15 indexed citations
5.
Shi, Yu, Daniel E. Milkie, Timothy A. Daugird, et al.. (2024). Smart lattice light-sheet microscopy for imaging rare and complex cellular events. Nature Methods. 21(2). 301–310. 25 indexed citations
6.
Shi, Yu, Timothy A. Daugird, & Wesley R. Legant. (2022). A quantitative analysis of various patterns applied in lattice light sheet microscopy. Nature Communications. 13(1). 4607–4607. 20 indexed citations
7.
Ahn, Jeong Hyun, Eric S. Davis, Timothy A. Daugird, et al.. (2021). Phase separation drives aberrant chromatin looping and cancer development. Nature. 595(7868). 591–595. 294 indexed citations breakdown →
8.
Azoitei, Mihai L., Jungsik Noh, Daniel J. Marston, et al.. (2019). Spatiotemporal dynamics of GEF-H1 activation controlled by microtubule- and Src-mediated pathways. The Journal of Cell Biology. 218(9). 3077–3097. 43 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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