Anna V. Semenchenko

2.7k citations
28 papers · 2.1k · h-index 17

Impact in

Papers in

Anna V. Semenchenko

28 papers receiving 2.1k citations

Peers

Anna V. Semenchenko
Comparison fields: 5 of 112
  • Aging 718
  • Endocrine and Autonomic Systems 443
  • Geriatrics and Gerontology 167
  • Physiology 735
  • Molecular Biology 1.1k
Replace Tatiana S. Piskunova with:
Tatiana S. Piskunova Russia
Mark A. Zabezhinski Russia
M. N. Yurova Russia
R. Michael Anson United States
Lars P. van der Heide Netherlands
Selma Masri United States
Shannon E. Mullican United States
Xuan Zhao China
Fresnida J. Ramos United States
Ling-Wa Chong United States
Anna V. Semenchenko relative to Tatiana S. Piskunova Russia Tatiana S. Piskunova's profile →
Citations per field
00.5×1.5×2.0×
Tatiana S. Piskunova · 1×
Citations per year

Countries citing papers authored by Anna V. Semenchenko

Since Specialization
Citations

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

Fields of papers citing papers by Anna V. Semenchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005325
2 2008276
3 2011264
4 2011225
5 2010210
6 2010103
7 200888
8 200385
9 200979
10 200578
11 201463
12 200459
13 200255
14 201051
15 201440
16 200421
17 200516
18 200316
19 200314
20 200414

About Anna V. Semenchenko

Anna V. Semenchenko is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Physiology, Aging and Endocrinology, Diabetes and Metabolism, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (13 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers), Metabolism, Diabetes, and Cancer (7 papers), FOXO transcription factor regulation (6 papers), Adipose Tissue and Metabolism (5 papers), Dietary Effects on Health (4 papers), Spaceflight effects on biology (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Aging (718 citations), Endocrine and Autonomic Systems (443 citations), Geriatrics and Gerontology (167 citations), Physiology (735 citations) and Molecular Biology (1.1k citations). Anna V. Semenchenko has collaborated with scholars based in Russia, Germany and United States. Frequent co-authors include Vladimir N. Anisimov, Mark A. Zabezhinski, Irina G. Popovich, Tatiana S. Piskunova, Margarita L. Tyndyk, M. N. Yurova, Peter A. Egormin, Lev M. Berstein, И. Г. Коваленко and Mikhail V. Blagosklonny. Their work appears in journals such as Aging, Cell Cycle, Biogerontology, Experimental Gerontology and International Journal of Cancer.

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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