Е. Е. Ларионова

56 papers receiving 493 citations

Peers

Е. Е. Ларионова
Comparison fields: 5 of 64
  • Infectious Diseases 395
  • Microbiology 10
  • Epidemiology 381
  • Molecular Medicine 44
  • Clinical Biochemistry 46
Replace Yuko Kazumi with:
Yuko Kazumi Japan
M. T. Simonetti Italy
Domenico Nista Italy
Sahal Al‐Hajoj Saudi Arabia
Manpreet Bhalla India
Yutaka Fukasawa Japan
Lily Blair United States
Valeria Penati Italy
Kaya Köksalan Türkiye
Eduardo Canteiro Cruz United States
Е. Е. Ларионова relative to Yuko Kazumi Japan Yuko Kazumi's profile →
Citations per field
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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 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200766
2 201757
3 201147
4 201340
5 200831
6 201025
7 201522
8 201522
9 201222
10 201819
11 200717
12 201715
13 20189
14 20169
15
[Impact of M. tuberculosis genotype on survival in mice with experimental tuberculosis].
20079
16 20218
17 20228
18 20217
19
[Examining the ex vivo growth in the macrophages of Mycobacterium tuberculosis of various genotypic clusters].
20067
20
[Genotypic characteristics of Mycobacterium tuberculosis strains from the Republic of Tyva].
20046

About Е. Е. Ларионова

Е. Е. Ларионова is a scholar working on Epidemiology, Infectious Diseases, Surgery, Molecular Biology and Small Animals, having authored 74 papers that have together received 545 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (56 papers), Tuberculosis Research and Epidemiology (48 papers), Infectious Diseases and Tuberculosis (9 papers), Diagnosis and treatment of tuberculosis (8 papers), Infectious Diseases and Mycology (7 papers), Cancer therapeutics and mechanisms (3 papers), Inhalation and Respiratory Drug Delivery (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). The work is most often cited by research in Infectious Diseases (395 citations), Microbiology (10 citations), Epidemiology (381 citations), Molecular Medicine (44 citations) and Clinical Biochemistry (46 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, Vadim M. Govorun, Elena N. Ilina, Tatyana Smirnova, Larisa N. Ikryannikova, Alexey V. Kuźmin, Egor Shitikov, Irina V. Lyadova and Irina Nikitina. Their work appears in journals such as Tuberculosis, European Journal of Clinical Microbiology & Infectious Diseases, PLoS ONE, Infection Genetics and Evolution and Biomedicine.

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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