Forrest Collman

7.0k total citations · 3 hit papers
14 papers, 2.0k citations indexed

About

Forrest Collman is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biophysics. According to data from OpenAlex, Forrest Collman has authored 14 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 6 papers in Biophysics. Recurrent topics in Forrest Collman's work include Neural dynamics and brain function (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Cell Image Analysis Techniques (4 papers). Forrest Collman is often cited by papers focused on Neural dynamics and brain function (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Cell Image Analysis Techniques (4 papers). Forrest Collman collaborates with scholars based in United States, Switzerland and Italy. Forrest Collman's co-authors include David W. Tank, Daniel A. Dombeck, Christopher D. Harvey, Sharmishtaa Seshamani, Chawin Ounkomol, Mary M. Maleckar, Stephen J Smith, Kristina D. Micheva, Richard J. Weinberg and Kristen D. Phend and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Forrest Collman

14 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

Imaging Large-Scale Neural Activity with Cellular Resolution in Awake, Mobile Mice

2007 773 citations Daniel A. Dombeck, Forrest Collman et al. Neuron profile →
Intracellular dynamics of hippocampal place cells during virtual navigation

2009 621 citations Christopher D. Harvey, Forrest Collman et al. Nature profile →
Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy

2018 302 citations Chawin Ounkomol, Sharmishtaa Seshamani et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Forrest Collman United States	10	1.1k	1.1k	498	398	200	14	2.0k
Clay Lacefield United States	17	1.0k 0.9×	877 0.8×	467 0.9×	436 1.1×	127 0.6×	29	2.0k
Björn M. Kampa Germany	18	1.8k 1.6×	1.4k 1.3×	357 0.7×	511 1.3×	153 0.8×	33	2.4k
Pengcheng Zhou China	22	1.2k 1.1×	1.3k 1.2×	327 0.7×	431 1.1×	180 0.9×	60	2.9k
Eftychios A. Pnevmatikakis United States	22	1.6k 1.4×	1.7k 1.6×	691 1.4×	444 1.1×	256 1.3×	39	3.1k
Spencer L. Smith United States	20	1.2k 1.0×	1.1k 1.0×	403 0.8×	466 1.2×	117 0.6×	40	1.9k
Kannan Umadevi Venkataraju United States	9	680 0.6×	609 0.6×	570 1.1×	556 1.4×	203 1.0×	14	1.8k
Aaron Kerlin United States	10	1.6k 1.4×	1.4k 1.3×	653 1.3×	619 1.6×	121 0.6×	12	2.7k
Michael N. Economo United States	18	750 0.7×	727 0.7×	338 0.7×	299 0.8×	252 1.3×	28	1.6k
Jinhyun Kim South Korea	24	1.7k 1.4×	1.1k 1.0×	333 0.7×	1.1k 2.7×	203 1.0×	54	2.9k
Adam M. Packer United Kingdom	18	1.8k 1.6×	1.6k 1.5×	399 0.8×	360 0.9×	99 0.5×	38	2.5k

Countries citing papers authored by Forrest Collman

Since Specialization

Citations

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

Fields of papers citing papers by Forrest Collman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Forrest Collman

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

All Works

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14 of 14 papers shown

Ott, Carolyn M., Russel Torres, T. S. Kuan, et al.. (2024). Ultrastructural differences impact cilia shape and external exposure across cell classes in the visual cortex. Current Biology. 34(11). 2418–2433.e4. 16 indexed citations

Dorkenwald, Sven, Peter H. Li, Michał Januszewski, et al.. (2023). Multi-layered maps of neuropil with segmentation-guided contrastive learning. Nature Methods. 20(12). 2011–2020. 8 indexed citations

Micheva, Kristina D., Belvin Gong, Forrest Collman, et al.. (2023). Developing a Toolbox of Antibodies Validated for Array Tomography-Based Imaging of Brain Synapses. eNeuro. 10(12). ENEURO.0290–23.2023. 5 indexed citations

Miyazaki, Paula Assakura, et al.. (2023). Postsynaptic cell type and synaptic distance do not determine efficiency of monosynaptic rabies virus spread measured at synaptic resolution. eLife. 12. 3 indexed citations

Miller, Jeremy A., Nathan W. Gouwens, Bosiljka Tasic, et al.. (2020). Common cell type nomenclature for the mammalian brain. eLife. 9. 38 indexed citations

Smith, Stephen J, Uygar Sümbül, Lucas T. Graybuck, et al.. (2019). Single-cell transcriptomic evidence for dense intracortical neuropeptide networks. eLife. 8. 90 indexed citations

Ounkomol, Chawin, et al.. (2018). Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy. Nature Methods. 15(11). 917–920. 302 indexed citations breakdown →

Aguerrebere, Cecilia, Forrest Collman, Joshua T Vogelstein, et al.. (2017). Probabilistic fluorescence-based synapse detection. PLoS Computational Biology. 13(4). e1005493–e1005493. 8 indexed citations

Collman, Forrest, et al.. (2015). Mapping Synapses by Conjugate Light-Electron Array Tomography. Journal of Neuroscience. 35(14). 5792–5807. 82 indexed citations

10.

Burette, A, Forrest Collman, Kristina D. Micheva, Stephen J Smith, & Richard J. Weinberg. (2015). Knowing a synapse when you see one. Frontiers in Neuroanatomy. 9. 100–100. 21 indexed citations

11.

Weiler, Nicholas Collins, Forrest Collman, Joshua T Vogelstein, Randal Burns, & Stephen J Smith. (2014). Synaptic molecular imaging in spared and deprived columns of mouse barrel cortex with array tomography. Scientific Data. 1(1). 140046–140046. 10 indexed citations

12.

Harvey, Christopher D., Forrest Collman, Daniel A. Dombeck, & David W. Tank. (2009). Intracellular dynamics of hippocampal place cells during virtual navigation. Nature. 461(7266). 941–946. 621 indexed citations breakdown →

13.

Collman, Forrest, et al.. (2008). Rate-specific synchrony: Using noisy oscillations to detect equally active neurons. Proceedings of the National Academy of Sciences. 105(24). 8422–8427. 21 indexed citations

14.

Dombeck, Daniel A., et al.. (2007). Imaging Large-Scale Neural Activity with Cellular Resolution in Awake, Mobile Mice. Neuron. 56(1). 43–57. 773 indexed citations breakdown →

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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