Anna Tkachev

565 citations
13 papers · 214 · h-index 7

Impact in

Papers in

    • Adipose Tissue and Metabolism 3
    • Diet and metabolism studies 3
    • Metabolomics and Mass Spectrometry Studies 7
    • Sphingolipid Metabolism and Signaling 1

Anna Tkachev

12 papers receiving 212 citations

Peers

Anna Tkachev
Comparison fields: 5 of 66
  • Biological Psychiatry 19
  • Behavioral Neuroscience 6
  • Aging 3
  • Cognitive Neuroscience 31
  • Molecular Biology 88
Replace Shasha Zhang with:
Shasha Zhang China
Fabrice Daubigney France
Nicholas Henkel United States
María E. Balbuena Aguirre Argentina
Edward J. Fox United States
Thomas G. Brooks United States
Stephanie L. Ciarlone United States
Du Cao China
Daan van Kruining Netherlands
Anna Tkachev relative to Shasha Zhang China Shasha Zhang's profile →
Citations per field
00.5×2×3×4.3×
Shasha Zhang · 1×
Citations per year

Countries citing papers authored by Anna Tkachev

Since Specialization
Citations

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

Fields of papers citing papers by Anna Tkachev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202466
2 202347
3 201946
4 202116
5 20219
6 20248
7 20217
8 20215
9 20224
10 20163
11 20192
12 20251
13 20250

About Anna Tkachev

Anna Tkachev is a scholar working on Physiology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Biological Psychiatry and Cognitive Neuroscience, having authored 13 papers that have together received 214 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Adipose Tissue and Metabolism (3 papers), Diet and metabolism studies (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Tryptophan and brain disorders (1 paper), Sphingolipid Metabolism and Signaling (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Biological Psychiatry (19 citations), Behavioral Neuroscience (6 citations), Aging (3 citations), Cognitive Neuroscience (31 citations) and Molecular Biology (88 citations). Anna Tkachev has collaborated with scholars based in Russia, Germany and China. Frequent co-authors include Elena Stekolshchikova, Philipp Khaitovich, Ekaterina Khrameeva, Vita V. Stepanova, Patrick Giavalisco, Daria Petrova, Qian Li, Tobias B. Halene, Ilia Kurochkin and Lothar Willmitzer. Their work appears in journals such as International Journal of Molecular Sciences, Biomolecules, JAMA Psychiatry, EBioMedicine and Scientific Reports.

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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