Daniel Tranchina

5.0k citations
56 papers · 3.6k indexed · 1 hit paper · h-index 29

Impact in

Papers in

Daniel Tranchina

54 papers receiving 3.6k citations

Hit Papers

Stochastic mRNA Synthesis in Mammalian Cells 2006 · 1.3k citations
1.3k20062026201220194008001.2k

Peers

Daniel Tranchina
Comparison fields: 5 of 129
  • Cognitive Neuroscience 1.1k
  • Cellular and Molecular Neuroscience 1.1k
  • Biophysics 192
  • Statistical and Nonlinear Physics 402
  • Molecular Biology 2.2k
Replace Joshua T Vogelstein with:
Joshua T Vogelstein United States
Krešimir Josić́ United States
Ilya Nemenman United States
Gašper Tkačik Austria
Gen Matsumoto Japan
Rob R. de Ruyter van Steveninck United States
Gregory D. Smith United States
Gonzalo G. de Polavieja Spain
Douglas A. Baxter United States
David Holcman France
Daniel Tranchina relative to Joshua T Vogelstein United States Joshua T Vogelstein's profile →
Citations per field
00.5×3.2×
Joshua T Vogelstein · 1×
Citations per year

Countries citing papers authored by Daniel Tranchina

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tranchina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniel Tranchina, 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 Daniel Tranchina Line = papers co-authored together Daniel Tranchina links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202131
2 201910
3 201923
4 201620
5 20157
6 201371
7 201241
8 201226
9
A blind deconvolution method for neural spike identification
20115
10
A blind sparse deconvolution method for neural spike identification
201114
11 2011144
12 20093
13 200640
14 200114
15 19958
16 19949
17 1990165
18 198949
19 198822
20 198332

About Daniel Tranchina

Daniel Tranchina is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Molecular Biology and Biophysics, having authored 56 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (23 papers), Retinal Development and Disorders (20 papers), Photoreceptor and optogenetics research (15 papers), Neuroscience and Neuropharmacology Research (8 papers), Visual perception and processing mechanisms (7 papers), Advanced Memory and Neural Computing (7 papers), stochastic dynamics and bifurcation (7 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (1.1k citations), Biophysics (192 citations), Statistical and Nonlinear Physics (402 citations) and Molecular Biology (2.2k citations). Daniel Tranchina has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Charles S. Peskin, Diana Vargas, Arjun Raj, Sanjay Tyagi, Duane Q. Nykamp, Robert Shapley, Charles Nicholson, Eero P. Simoncelli, Chaitanya Ekanadham and Paul Witkovsky. Their work appears in journals such as Visual Neuroscience, Journal of Neurophysiology, Journal of Neuroscience, The Journal of General Physiology and Network Computation in Neural Systems.

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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