Francisca Martínez Traub

1.1k total citations
8 papers, 604 citations indexed

About

Francisca Martínez Traub is a scholar working on Biophysics, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Francisca Martínez Traub has authored 8 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biophysics, 4 papers in Cognitive Neuroscience and 3 papers in Neurology. Recurrent topics in Francisca Martínez Traub's work include Advanced Fluorescence Microscopy Techniques (5 papers), Neural dynamics and brain function (4 papers) and Cell Image Analysis Techniques (4 papers). Francisca Martínez Traub is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (5 papers), Neural dynamics and brain function (4 papers) and Cell Image Analysis Techniques (4 papers). Francisca Martínez Traub collaborates with scholars based in United States, Austria and Chile. Francisca Martínez Traub's co-authors include Alipasha Vaziri, Jeffrey Demas, Jason Manley, Tobias Nöbauer, Lukas Weilguny, Maxim I. Molodtsov, Frank Tejera, Hyewon Kim, Kevin M. Barber and Alejandro J. Pernía‐Andrade and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Francisca Martínez Traub

8 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francisca Martínez Traub United States 8 319 187 165 133 103 8 604
V. V. G. Krishna Inavalli France 11 191 0.6× 307 1.6× 118 0.7× 152 1.1× 152 1.5× 18 757
Katherine S. Matho United States 11 214 0.7× 255 1.4× 101 0.6× 127 1.0× 416 4.0× 12 901
Timothy Ragan United States 9 491 1.5× 149 0.8× 151 0.9× 227 1.7× 217 2.1× 14 839
Nathan Clack United States 9 282 0.9× 358 1.9× 438 2.7× 114 0.9× 188 1.8× 10 933
Amanda J. Foust United Kingdom 14 145 0.5× 503 2.7× 322 2.0× 114 0.9× 162 1.6× 34 733
Anna Letizia Allegra Mascaro Italy 13 139 0.4× 280 1.5× 151 0.9× 101 0.8× 134 1.3× 39 676
Or A. Shemesh United States 10 89 0.3× 343 1.8× 167 1.0× 56 0.4× 181 1.8× 12 709
Benjamin Mathieu France 8 142 0.4× 323 1.7× 185 1.1× 65 0.5× 149 1.4× 13 507
Kevin Takasaki United States 8 246 0.8× 204 1.1× 81 0.5× 178 1.3× 202 2.0× 14 713
Werner Göbel Germany 13 431 1.4× 415 2.2× 205 1.2× 352 2.6× 238 2.3× 31 1.2k

Countries citing papers authored by Francisca Martínez Traub

Since Specialization
Citations

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

Fields of papers citing papers by Francisca Martínez Traub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francisca Martínez Traub. 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 Francisca Martínez Traub. The network helps show where Francisca Martínez Traub may publish in the future.

Co-authorship network of co-authors of Francisca Martínez Traub

This figure shows the co-authorship network connecting the top 25 collaborators of Francisca Martínez Traub. A scholar is included among the top collaborators of Francisca Martínez Traub 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 Francisca Martínez Traub. Francisca Martínez Traub 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.
Manley, Jason, Kevin M. Barber, Jeffrey Demas, et al.. (2024). Simultaneous, cortex-wide dynamics of up to 1 million neurons reveal unbounded scaling of dimensionality with neuron number. Neuron. 112(10). 1694–1709.e5. 29 indexed citations
2.
Demas, Jeffrey, Jason Manley, Frank Tejera, et al.. (2021). High-speed, cortex-wide volumetric recording of neuroactivity at cellular resolution using light beads microscopy. Nature Methods. 18(9). 1103–1111. 109 indexed citations
3.
Rozas, Pablo, Francisca Martínez Traub, Viviana Pérez, et al.. (2021). Protein disulfide isomerase ERp57 protects early muscle denervation in experimental ALS. Acta Neuropathologica Communications. 9(1). 21–21. 12 indexed citations
4.
Weisenburger, S., Frank Tejera, Jeffrey Demas, et al.. (2019). Volumetric Ca2+ Imaging in the Mouse Brain Using Hybrid Multiplexed Sculpted Light Microscopy. Cell. 177(4). 1050–1066.e14. 122 indexed citations
5.
Nöbauer, Tobias, Lukas Weilguny, Francisca Martínez Traub, et al.. (2018). High-speed volumetric imaging of neuronal activity in freely moving rodents. Nature Methods. 15(6). 429–432. 127 indexed citations
6.
Medinas, Danilo B., Pablo Rozas, Francisca Martínez Traub, et al.. (2018). Endoplasmic reticulum stress leads to accumulation of wild-type SOD1 aggregates associated with sporadic amyotrophic lateral sclerosis. Proceedings of the National Academy of Sciences. 115(32). 8209–8214. 76 indexed citations
7.
Medinas, Danilo B., Francisca Martínez Traub, Pablo Rozas, et al.. (2017). Disulfide cross-linked multimers of TDP-43 and spinal motoneuron loss in a TDP-43A315T ALS/FTD mouse model. Scientific Reports. 7(1). 14266–14266. 19 indexed citations
8.
Nöbauer, Tobias, Alejandro J. Pernía‐Andrade, Lukas Weilguny, et al.. (2017). Video rate volumetric Ca2+ imaging across cortex using seeded iterative demixing (SID) microscopy. Nature Methods. 14(8). 811–818. 110 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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