Maria Luisa Cotrina

4.7k citations
29 papers · 3.7k indexed · 1 hit paper · h-index 21
Topics
Connexins and lens biology (13 papers)Neuroscience and Neuropharmacology Research (11 papers)Neuroinflammation and Neurodegeneration Mechanisms (6 papers)

In The Last Decade

Maria Luisa Cotrina

29 papers receiving 3.7k citations

Hit Papers

Connexins regulate calcium signaling by controlling ATP r...19982026200720161998200400600

Peers

Maria Luisa Cotrina
Comparison fields: 5 of 129
  • Molecular Biology 2.0k
  • Cellular and Molecular Neuroscience 1.4k
  • Neurology 852
  • Physiology 624
  • Physiology 475
Replace G. Campbell with:
G. Campbell United Kingdom
Xiaohai Wang United States
Guo-Feng Tian Canada
Gunnar Schulte Sweden
Thomas Pannicke Germany
Patrizia Di Iorio Italy
Michel P. Rathbone Canada
Ping K. Yip United Kingdom
Sylvia O. Suadicani United States
Hyun B. Choi Canada
Maria Luisa Cotrina relative to G. Campbell United Kingdom G. Campbell's profile →
Citations per field
00.5×1.5×
G. Campbell · 1×
Citations per year

Countries citing papers authored by Maria Luisa Cotrina

Since Specialization
Citations

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

Fields of papers citing papers by Maria Luisa Cotrina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Luisa Cotrina. 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 Maria Luisa Cotrina. The network helps show where Maria Luisa Cotrina may publish in the future.

Co-authorship network of co-authors of Maria Luisa Cotrina

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 6
3 46
4 54
5 13
6 204
7 26
8 66
9 85
10 231
11 62
12 131
13 26
14 1
15 338
16 41
17 49
18 1
19 419
20 174

About Maria Luisa Cotrina

Maria Luisa Cotrina is a scholar working on Cellular and Molecular Neuroscience, Neurology and Physiology, having authored 29 papers that have together received 3.7k indexed citations. Recurring topics across this work include Connexins and lens biology (13 papers), Neuroscience and Neuropharmacology Research (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Physiology (624 citations), Neurology (852 citations) and Developmental Neuroscience (310 citations). Maria Luisa Cotrina has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include Maiken Nedergaard, Jane H.-C. Lin, Shujun Liu, Christian C. Naus, Jian Kang, Steven A. Goldman, Takahiro Takano, Alexandra Alves‐Rodrigues, Jiang Li and Thomas W. Hansen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of 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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