Tkachenko Ei

1.2k citations
50 papers · 710 · h-index 13

Impact in

Papers in

Tkachenko Ei

43 papers receiving 677 citations

Peers

Tkachenko Ei
Comparison fields: 5 of 93
  • Gastroenterology 67
  • Infectious Diseases 165
  • Biological Psychiatry 14
  • Epidemiology 171
  • Molecular Biology 296
Replace Rachel M. Golonka with:
Rachel M. Golonka United States
Shabnam Shahrokh Iran
Douglas V. Guzior United States
Suguru Nishijima Japan
Laura Franza Italy
Ting‐Chin David Shen United States
Bernadien H. Jansen Netherlands
Josep Mañé Spain
Adam P. Matson United States
Rustam Abdulkhakov Russia
Tkachenko Ei relative to Rachel M. Golonka United States Rachel M. Golonka's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tkachenko Ei

Since Specialization
Citations

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

Fields of papers citing papers by Tkachenko Ei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018147
2 201780
3 202172
4 201754
5 201549
6 201836
7 202034
8 202134
9
METABOLIC DYSBIOSIS OF THE GUT MICROBIOTA AND ITS BIOMARKERS.
201630
10 201626
11 201817
12 201716
13 202015
14
[COLON DYSBACTERIOSIS (DYSBIOSIS): MODERN STATE OF THE PROBLEM, COMPREHENSIVE DIAGNOSIS AND TREATMENT CORRECTION].
201512
15 201811
16 20209
17 20207
18 20236
19 20215
20
[Chronic gastritis in children with concomitant diseases of the thyroid gland].
20034

About Tkachenko Ei

Tkachenko Ei is a scholar working on Gastroenterology, Infectious Diseases, Genetics, Surgery and Molecular Biology, having authored 50 papers that have together received 710 indexed citations. Recurring topics across this work include Gut microbiota and health (10 papers), Helicobacter pylori-related gastroenterology studies (6 papers), Digestive system and related health (6 papers), COVID-19 Clinical Research Studies (4 papers), Eosinophilic Esophagitis (4 papers), Long-Term Effects of COVID-19 (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers) and Inflammatory Bowel Disease (3 papers). The work is most often cited by research in Gastroenterology (67 citations), Infectious Diseases (165 citations), Biological Psychiatry (14 citations), Epidemiology (171 citations) and Molecular Biology (296 citations). Tkachenko Ei has collaborated with scholars based in Russia, United States and Italy. Frequent co-authors include Ami Siddharth Bhatt, Tessa M. Andermann, Fiona B. Tamburini, Niaz Banaei, Fiona Senchyna, Stanislav Sitkin, Timur Vakhitov, Catherine Ley, Jessica V. Ribado and Julie Parsonnet. Their work appears in journals such as Transplantation and Cellular Therapy, The American Journal of Gastroenterology, Nature Medicine, EMBO Molecular Medicine and Genome Medicine.

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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