Nathan Clack

1.5k total citations
10 papers, 933 citations indexed

About

Nathan Clack is a scholar working on Biophysics, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nathan Clack has authored 10 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biophysics, 3 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nathan Clack's work include Neural dynamics and brain function (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Cell Image Analysis Techniques (3 papers). Nathan Clack is often cited by papers focused on Neural dynamics and brain function (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Cell Image Analysis Techniques (3 papers). Nathan Clack collaborates with scholars based in United States, Austria and Germany. Nathan Clack's co-authors include Eugene W. Myers, Karel Svoboda, Daniel H. O’Connor, Daniel Huber, Michael N. Economo, Jayaram Chandrashekar, Charles R. Gerfen, Luke D. Lavis, Takaki Komiyama and Jay T. Groves and has published in prestigious journals such as Journal of Neuroscience, Nature Biotechnology and Langmuir.

In The Last Decade

Nathan Clack

10 papers receiving 928 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan Clack United States 9 438 358 282 188 114 10 933
Sean Quirin United States 13 381 0.9× 477 1.3× 441 1.6× 157 0.8× 296 2.6× 21 1.1k
Emiliano Ronzitti France 16 302 0.7× 543 1.5× 276 1.0× 127 0.7× 207 1.8× 27 865
Daniel Aharoni United States 11 447 1.0× 400 1.1× 204 0.7× 84 0.4× 82 0.7× 25 816
Fabian F. Voigt Switzerland 19 341 0.8× 368 1.0× 567 2.0× 225 1.2× 390 3.4× 33 1.4k
Stephen L. Senft United States 12 197 0.4× 319 0.9× 117 0.4× 109 0.6× 113 1.0× 20 759
Werner Göbel Germany 13 205 0.5× 415 1.2× 431 1.5× 238 1.3× 352 3.1× 31 1.2k
Jeffrey N. Stirman United States 15 211 0.5× 499 1.4× 268 1.0× 210 1.1× 254 2.2× 20 1.1k
Vincent de Sars France 15 317 0.7× 678 1.9× 420 1.5× 150 0.8× 289 2.5× 20 1.2k
Ian Antón Oldenburg United States 12 535 1.2× 986 2.8× 140 0.5× 321 1.7× 162 1.4× 19 1.4k
Amanda J. Foust United Kingdom 14 322 0.7× 503 1.4× 145 0.5× 162 0.9× 114 1.0× 34 733

Countries citing papers authored by Nathan Clack

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Clack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan Clack. 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 Nathan Clack. The network helps show where Nathan Clack may publish in the future.

Co-authorship network of co-authors of Nathan Clack

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

All Works

10 of 10 papers shown
1.
Chiu, Chi‐Li, et al.. (2022). napari: a Python Multi-Dimensional Image Viewer Platform for the Research Community. Microscopy and Microanalysis. 28(S1). 1576–1577. 57 indexed citations
2.
Molina, Rosana S., Jonathan King, Nathan Clack, et al.. (2020). High throughput instrument to screen fluorescent proteins under two-photon excitation. Biomedical Optics Express. 11(12). 7192–7192. 5 indexed citations
3.
Economo, Michael N., Nathan Clack, Luke D. Lavis, et al.. (2016). A platform for brain-wide imaging and reconstruction of individual neurons. eLife. 5. e10566–e10566. 265 indexed citations
4.
O’Connor, Daniel H., Samuel Andrew Hires, Nathan Clack, et al.. (2013). The Mechanical Variables Underlying Object Localization along the Axis of the Whisker. Journal of Neuroscience. 33(16). 6726–6741. 93 indexed citations
5.
Clack, Nathan, Daniel H. O’Connor, Daniel Huber, et al.. (2012). Automated Tracking of Whiskers in Videos of Head Fixed Rodents. PLoS Computational Biology. 8(7). e1002591–e1002591. 104 indexed citations
6.
Zhao, Ting, Jun Xie, Fernando Amat, et al.. (2011). Automated Reconstruction of Neuronal Morphology Based on Local Geometrical and Global Structural Models. Neuroinformatics. 9(2-3). 247–261. 89 indexed citations
7.
O’Connor, Daniel H., Nathan Clack, Daniel Huber, et al.. (2010). Vibrissa-Based Object Localization in Head-Fixed Mice. Journal of Neuroscience. 30(5). 1947–1967. 216 indexed citations
8.
Gomez, Esther W., Nathan Clack, Hung‐Jen Wu, & Jay T. Groves. (2009). Like-charge interactions between colloidal particles are asymmetric with respect to sign. Soft Matter. 5(9). 1931–1931. 36 indexed citations
9.
Clack, Nathan, Khalid Salaita, & Jay T. Groves. (2008). Electrostatic readout of DNA microarrays with charged microspheres. Nature Biotechnology. 26(7). 825–830. 46 indexed citations
10.
Clack, Nathan & Jay T. Groves. (2005). Many-Particle Tracking with Nanometer Resolution in Three Dimensions by Reflection Interference Contrast Microscopy. Langmuir. 21(14). 6430–6435. 22 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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