Marco A. Huertas

801 citations
21 papers · 523 indexed · h-index 12

Marco A. Huertas

20 papers receiving 516 citations

Peers

Marco A. Huertas
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 287
  • Cognitive Neuroscience 291
  • Cardiology and Cardiovascular Medicine 115
  • Neurology 37
  • Statistical and Nonlinear Physics 40
Replace Rosanna Migliore with:
Rosanna Migliore Italy
Lyle J. Borg-Graham France
Yulia Timofeeva United Kingdom
Marie‐Therese Horstmann Germany
Corey D. Acker United States
Fernanda Saraga Canada
S. М. Коrogod Ukraine
Kevin Aquino Australia
Eli J. Müller Australia
Jan Cimbálník Czechia
Marco A. Huertas relative to Rosanna Migliore Italy Rosanna Migliore's profile →
Citations per field
00.5×2.7×
Rosanna Migliore · 1×
Citations per year

Countries citing papers authored by Marco A. Huertas

Since Specialization
Citations

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

Fields of papers citing papers by Marco A. Huertas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco A. Huertas. 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 Marco A. Huertas. The network helps show where Marco A. Huertas may publish in the future.

Co-authorship network

The 23 scholars most cited alongside Marco A. Huertas, 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 Marco A. Huertas Line = papers co-authored together Marco A. Huertas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20223
2 20169
3 201552
4 201518
5 2015143
6 20143
7 20131
8 201245
9 201232
10 201047
11 201017
12 20095
13 200828
14 200745
15 200729
16 200615
17 20064
18 200511
19
Extension of Effective Lagrangian Approach to Structure of Selected Nuclei Far from Stability
20041
20 20042

About Marco A. Huertas

Marco A. Huertas is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Biophysics and Molecular Biology, having authored 21 papers that have together received 523 indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), Neuroscience and Neural Engineering (10 papers), Ion channel regulation and function (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Cardiac electrophysiology and arrhythmias (6 papers), Photoreceptor and optogenetics research (3 papers), Visual perception and processing mechanisms (3 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (287 citations), Cognitive Neuroscience (291 citations), Cardiology and Cardiovascular Medicine (115 citations), Neurology (37 citations) and Statistical and Nonlinear Physics (40 citations). Marco A. Huertas has collaborated with scholars based in United States. Frequent co-authors include Gregory D. Smith, Harel Z. Shouval, Carmen C. Canavier, Alfredo Kirkwood, Su Z. Hong, Johannes Hell, Kaiwen He, Marshall G. Hussain Shuler, George S.B. Williams and Eric A. Sobie. Their work appears in journals such as Biophysical Journal, Journal of Computational Neuroscience, Journal of Neuroscience, Neuron and BMC Neuroscience.

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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