N. V. Adonyeva

746 citations
38 papers · 578 indexed · h-index 16
  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms 7
    • Insect and Pesticide Research 15
    • Insect symbiosis and bacterial influences 6
    • Insect Utilization and Effects 5
    • Insect behavior and control techniques 3
    • Neurobiology and Insect Physiology Research 25
  • Genetics top 10%
    • Insect and Arachnid Ecology and Behavior 21
  • Ecology top 10%
    • Physiological and biochemical adaptations 17

N. V. Adonyeva

38 papers receiving 573 citations

Peers

N. V. Adonyeva
Comparison fields: 5 of 67
  • Aging 96
  • Insect Science 268
  • Cellular and Molecular Neuroscience 346
  • Genetics 223
  • Ecology 163
Replace Е. К. Карпова with:
Е. К. Карпова Russia
N. A. Chentsova Russia
Yuko Shimada‐Niwa Japan
Alekseev Aa Russia
Anita V. Devineni United States
Ricardo Leitão-Gonçalves United States
Donna G. Folk United States
Gérard Manière France
Xiangyu Song United States
E. V. Bogomolova Russia
N. V. Adonyeva relative to Е. К. Карпова Russia Е. К. Карпова's profile →
Citations per field
00.5×1.5×
Е. К. Карпова · 1×
Citations per year

Countries citing papers authored by N. V. Adonyeva

Since Specialization
Citations

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

Fields of papers citing papers by N. V. Adonyeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. V. Adonyeva. 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 N. V. Adonyeva. The network helps show where N. V. Adonyeva may publish in the future.

Co-authorship network

The 21 scholars most cited alongside N. V. Adonyeva, 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 N. V. Adonyeva Line = papers co-authored together N. V. Adonyeva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20232
4 20217
5 201620
6 201621
7 20158
8 20132
9 20138
10 20124
11 201053
12 201016
13 201035
14 200910
15 20097
16 200731
17 200718
18 200710
19 200350
20 200228

About N. V. Adonyeva

N. V. Adonyeva is a scholar working on Aging, Insect Science and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 578 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (25 papers), Insect and Arachnid Ecology and Behavior (21 papers), Physiological and biochemical adaptations (17 papers), Insect and Pesticide Research (15 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Insect symbiosis and bacterial influences (6 papers), Insect Utilization and Effects (5 papers) and Insect behavior and control techniques (3 papers). The work is most often cited by research in Aging (96 citations), Insect Science (268 citations) and Cellular and Molecular Neuroscience (346 citations). N. V. Adonyeva has collaborated with scholars based in Russia, United Kingdom and China. Frequent co-authors include Н. Е. Грунтенко, I. Yu. Rauschenbach, Е. К. Карпова, N. A. Chentsova, Alekseev Aa, E. V. Bogomolova, Petr N. Menshanov, Yu. Yu. Ilinsky, Mary Bownes and S. Li. Their work appears in journals such as Journal of Experimental Biology, General and Comparative Endocrinology and BMC Evolutionary Biology.

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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