Guzel Valeeva

1.3k citations
30 papers · 916 indexed · h-index 14

Impact in

Papers in

Guzel Valeeva

27 papers receiving 911 citations

Peers

Guzel Valeeva
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 583
  • Developmental Neuroscience 109
  • Cognitive Neuroscience 391
  • Behavioral Neuroscience 37
  • Endocrine and Autonomic Systems 61
Replace Natalia Lozovaya with:
Natalia Lozovaya France
Seiichiro Jinde Japan
Olivier Lassalle France
Jiang Hong Ye United States
Chengsan Sun United States
María Esther Olvera‐Cortés Mexico
Audrey C. Brumback United States
Nadine Ferrand France
Jean‐Bernard Manent France
Nafiseh Atapour Australia
Guzel Valeeva relative to Natalia Lozovaya France Natalia Lozovaya's profile →
Citations per field
00.5×1.7×
Natalia Lozovaya · 1×
Citations per year

Countries citing papers authored by Guzel Valeeva

Since Specialization
Citations

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

Fields of papers citing papers by Guzel Valeeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 20235
4 202111
5 201913
6
Monitoring of urban environmental quality using chlorophyll delayed fluorescence
20180
7 20187
8 201835
9 201655
10 201699
11 201688
12 201625
13 201513
14 20141
15 20140
16 201462
17 201349
18 201330
19 2012104
20 201112

About Guzel Valeeva

Guzel Valeeva is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Soil Science, Developmental Neuroscience and Sensory Systems, having authored 30 papers that have together received 916 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Neural dynamics and brain function (11 papers), Photoreceptor and optogenetics research (9 papers), Ion channel regulation and function (5 papers), Memory and Neural Mechanisms (3 papers), Soil and Environmental Studies (3 papers), Agricultural Productivity and Crop Improvement (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (583 citations), Developmental Neuroscience (109 citations), Cognitive Neuroscience (391 citations), Behavioral Neuroscience (37 citations) and Endocrine and Autonomic Systems (61 citations). Guzel Valeeva has collaborated with scholars based in Russia, France and United States. Frequent co-authors include Roustem Khazipov, Azat Nasretdinov, Marat Mukhtarov, Alfonso Represa, Jean‐Bernard Manent, Marat Minlebaev, Ilgam Khalilov, Joseph Glykys, Kevin J. Staley and Volodymyr Dzhala. Their work appears in journals such as Frontiers in Cellular Neuroscience, Journal of Neuroscience, Scientific Reports, Neuroscience and International Journal of Molecular Sciences.

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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