Maria Talantova

6.0k citations
34 papers · 3.7k indexed · 2 hit papers · h-index 24
Topics
Neuroscience and Neuropharmacology Research (16 papers)Pluripotent Stem Cells Research (9 papers)Neuroscience and Neural Engineering (8 papers)
Partner nations
United StatesRussiaItaly

In The Last Decade

Maria Talantova

33 papers receiving 3.6k citations

Hit Papers

Excitatory glycine receptors containing the NR3 family of...200220262010201820022011100200300400500

Peers

Maria Talantova
Comparison fields: 5 of 103
  • Molecular Biology 2.5k
  • Cellular and Molecular Neuroscience 1.8k
  • Developmental Neuroscience 456
  • Physiology 445
  • Biomedical Engineering 320
Replace Philippe Ravassard with:
Philippe Ravassard France
Alaa El-Husseini Canada
Riccardo Brambilla Italy
Élisabeth Traiffort France
Sung Ok Yoon United States
Wado Akamatsu Japan
Shernaz X. Bamji Canada
Roman Chrast Switzerland
Ravi Jagasia Switzerland
Kei Watase Japan
Maria Talantova relative to Philippe Ravassard France Philippe Ravassard's profile →
Citations per field
00.5×4.5×
Philippe Ravassard · 1×
Citations per year

Countries citing papers authored by Maria Talantova

Since Specialization
Citations

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

Fields of papers citing papers by Maria Talantova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Talantova

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Talantova. A scholar is included among the top collaborators of Maria Talantova 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 Talantova. Maria Talantova 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 9
2 80
3 48
4 26
5 50
6 28
7 37
8 72
9 138
10 335
11 30
12 175
13 323
14 50
15 6
16 42
17 17
18 2
19 16
20 14

About Maria Talantova

Maria Talantova is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Physiology, having authored 34 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Pluripotent Stem Cells Research (9 papers) and Neuroscience and Neural Engineering (8 papers). The work is most often cited by research in Developmental Neuroscience (456 citations), Cellular and Molecular Neuroscience (1.8k citations) and Molecular Biology (2.5k citations). Maria Talantova has collaborated with scholars based in United States, Russia and Italy. Frequent co-authors include Stuart A. Lipton, Sheng Ding, Saiyong Zhu, Yuan Xu, Rajesh Ambasudhan, Dongxian Zhang, Janghwan Kim, Kang Zhang, Nobuki Nakanishi and Peng Xia. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.

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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