И. Е. Повереннова

2.3k citations
27 papers · 615 · h-index 7

Impact in

Papers in

И. Е. Повереннова

21 papers receiving 599 citations

Peers

И. Е. Повереннова
Comparison fields: 5 of 65
  • Genetics 136
  • Endocrine and Autonomic Systems 53
  • Neurology 59
  • Oncology 147
  • Cognitive Neuroscience 110
Replace Ute Burkhardt with:
Ute Burkhardt Germany
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И. Е. Повереннова relative to Ute Burkhardt Germany Ute Burkhardt's profile →
Citations per field
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Citations per year

Countries citing papers authored by И. Е. Повереннова

Since Specialization
Citations

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

Fields of papers citing papers by И. Е. Повереннова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by И. Е. Повереннова. 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 И. Е. Повереннова. The network helps show where И. Е. Повереннова may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010335
2 2017135
3 201751
4 201043
5 20178
6 20187
7 20196
8 20175
9 20153
10 20183
11 20203
12 20172
13 20242
14 20202
15 20162
16
Efficiency and safety of the author's method of wrist tapping as a personalized method of emergency self-help in focal epilepsy
20211
17 20181
18 20191
19 20211
20 20151

About И. Е. Повереннова

И. Е. Повереннова is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Neurology, Genetics and Cognitive Neuroscience, having authored 27 papers that have together received 615 indexed citations. Recurring topics across this work include Epilepsy research and treatment (8 papers), Pharmacological Effects and Toxicity Studies (7 papers), Neurological Disorders and Treatments (7 papers), Genetics and Neurodevelopmental Disorders (2 papers), Glioma Diagnosis and Treatment (2 papers), Sleep and Wakefulness Research (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Neurological Complications and Syndromes (1 paper). The work is most often cited by research in Genetics (136 citations), Endocrine and Autonomic Systems (53 citations), Neurology (59 citations), Oncology (147 citations) and Cognitive Neuroscience (110 citations). И. Е. Повереннова has collaborated with scholars based in Russia, United States and Australia. Frequent co-authors include S. Schmaus, Ulrich Bogdahn, K.-H. Schlingensiepen, Günther Stockhammer, Piotr Jachimczak, Anandh Balasubramaniam, В. Е. Парфенов, Menashe Zaaroor, N. K. Venkataramana and Anuspandana Mahapatra. Their work appears in journals such as Epilepsy & Behavior, Neuro-Oncology, Journal of Clinical Oncology, The Lancet Neurology and Epilepsia.

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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