Е. Е. Ларионова

61 papers receiving 514 citations

Peers

Е. Е. Ларионова
Comparison fields: 5 of 58
  • Infectious Diseases 381
  • Microbiology 8
  • Epidemiology 332
  • Molecular Medicine 36
  • Clinical Biochemistry 40
Replace Toyomitsu Sawai with:
Toyomitsu Sawai Japan
Marjorie Vieira Batista Brazil
Paul Saleeb United States
Fausta Ardito Italy
Avisek Banerjee United States
Yuko Kazumi Japan
Yutaka Fukasawa Japan
Jean‐Louis Gaillard France
Anna Zabost Poland
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Citations per year

Countries citing papers authored by Е. Е. Ларионова

Since Specialization
Citations

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

Fields of papers citing papers by Е. Е. Ларионова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200767
2 201761
3 201147
4 201342
5 200832
6 201025
7 201223
8 201523
9 201522
10 201820
11 200717
12 201715
13 201811
14 202210
15 20219
16 20169
17
[Impact of M. tuberculosis genotype on survival in mice with experimental tuberculosis].
20079
18 20217
19
[Examining the ex vivo growth in the macrophages of Mycobacterium tuberculosis of various genotypic clusters].
20067
20
[The association of tuberculosis with the specificities of the HLA gene DRB1 in different regions of Tuva].
20056

About Е. Е. Ларионова

Е. Е. Ларионова is a scholar working on Epidemiology, Infectious Diseases, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 77 papers that have together received 567 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (56 papers), Tuberculosis Research and Epidemiology (49 papers), Infectious Diseases and Tuberculosis (9 papers), Diagnosis and treatment of tuberculosis (8 papers), Infectious Diseases and Mycology (7 papers), Inhalation and Respiratory Drug Delivery (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Infectious Diseases (381 citations), Microbiology (8 citations), Epidemiology (332 citations), Molecular Medicine (36 citations) and Clinical Biochemistry (40 citations). Е. Е. Ларионова has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include Л. Н. Черноусова, Т. Г. Смирнова, Elena N. Ilina, Vadim M. Govorun, Tatyana Smirnova, Larisa N. Ikryannikova, Egor Shitikov, Irina Nikitina, Irina V. Lyadova and Sidorenko Sv. Their work appears in journals such as Tuberculosis, PLoS ONE, European Journal of Clinical Microbiology & Infectious Diseases, Biomedicine and Pharmaceutics.

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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