Timothy Dunn

2.6k citations
32 papers · 1.5k · h-index 15

Impact in

Papers in

Timothy Dunn

29 papers receiving 1.5k citations

Peers

Timothy Dunn
Comparison fields: 5 of 127
  • Cell Biology 585
  • Cellular and Molecular Neuroscience 599
  • Cognitive Neuroscience 427
  • Biophysics 104
  • Aging 18
Replace Eva A. Naumann with:
Eva A. Naumann United States
Elena Dreosti United Kingdom
Clemens Riegler United States
Marco Dal Maschio Italy
Kristen E. Severi United States
Joseph C. Donovan Germany
Chao-Tsung Yang United States
Aristides B. Arrenberg Germany
Germán Sumbre France
Peixin Zhu Switzerland
Timothy Dunn relative to Eva A. Naumann United States Eva A. Naumann's profile →
Citations per field
00.5×1.5×2×
Eva A. Naumann · 1×
Citations per year

Countries citing papers authored by Timothy Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Timothy Dunn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Timothy Dunn Line = papers co-authored together Timothy Dunn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016243
2 2008212
3 2016197
4 2016196
5 2021130
6 2013101
7 201395
8 202080
9 201156
10 202226
11 202225
12 202223
13 202221
14 202018
15 202115
16 202114
17 202013
18 202511
19 202211
20 202311

About Timothy Dunn

Timothy Dunn is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (10 papers), Neural dynamics and brain function (4 papers), Retinal Development and Disorders (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Photoreceptor and optogenetics research (3 papers), Human Pose and Action Recognition (3 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Cell Biology (585 citations), Cellular and Molecular Neuroscience (599 citations), Cognitive Neuroscience (427 citations), Biophysics (104 citations) and Aging (18 citations). Timothy Dunn has collaborated with scholars based in United States, Uganda and United Kingdom. Frequent co-authors include Florian Engert, Misha B. Ahrens, Eva A. Naumann, James E. Fitzgerald, Christoph Gebhardt, Clemens Riegler, Filippo Del Bene, Jason Rihel, Haim Sompolinsky and Jesse D. Marshall. Their work appears in journals such as eLife, Neurosurgery, Neuron, Cell and World Neurosurgery.

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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