Т. А. Антипова

704 citations
79 papers · 528 indexed · h-index 13

Т. А. Антипова

67 papers receiving 500 citations

Peers

Т. А. Антипова
Comparison fields: 5 of 69
  • Developmental Neuroscience 91
  • Biological Psychiatry 45
  • Cellular and Molecular Neuroscience 321
  • Neurology 82
  • Physiology 195
Replace P. Yu. Povarnina with:
P. Yu. Povarnina Russia
Guillermo Moya‐Alvarado Chile
Sylvia Ortega‐Martínez United States
Nancy Bartolotti United States
Valentín Cóppola-Segovia Brazil
Alexandra Brazil
Evangelina Ávila-Muñoz Mexico
Chrysoula Dioli Portugal
Roberta Marolda Italy
Jayden Lee United States
Т. А. Антипова relative to P. Yu. Povarnina Russia P. Yu. Povarnina's profile →
Citations per field
00.5×1.5×
P. Yu. Povarnina · 1×
Citations per year

Countries citing papers authored by Т. А. Антипова

Since Specialization
Citations

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

Fields of papers citing papers by Т. А. Антипова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Т. А. Антипова. 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 Т. А. Антипова. The network helps show where Т. А. Антипова may publish in the future.

Co-authorship network

The 16 scholars most cited alongside Т. А. Антипова, 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 Т. А. Антипова Line = papers co-authored together Т. А. Антипова links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20231
4 20230
5 20232
6 20221
7 20221
8 20202
9 201913
10 20199
11 20163
12 201643
13 20160
14 201610
15 20156
16
[Neuroprotective effects of a dipeptide mimetic on the GK-2 nerve growth factor in model of permanent common carotid artery occlusion in rats].
20126
17 201115
18 201038
19 20095
20 200920

About Т. А. Антипова

Т. А. Антипова is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Neurology, having authored 79 papers that have together received 528 indexed citations. Recurring topics across this work include Nerve injury and regeneration (32 papers), Biochemical effects in animals (22 papers), Neuroscience and Neuropharmacology Research (11 papers), Axon Guidance and Neuronal Signaling (10 papers), Neuropeptides and Animal Physiology (10 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Neurological Disorders and Treatments (8 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Developmental Neuroscience (91 citations), Biological Psychiatry (45 citations) and Cellular and Molecular Neuroscience (321 citations). Т. А. Антипова has collaborated with scholars based in Russia, United Kingdom and Czechia. Frequent co-authors include Т. А. Гудашева, С. Б. Середенин, P. Yu. Povarnina, M. Yu. Stepanichev, А. Д. Дурнев, В. С. Кудрин, М. В. Онуфриев, И. В. Барсков, N. V. Gulyaeva and I. N. Tyurenkov. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Current Pharmaceutical Design.

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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2026