Julia Bespyatykh

630 citations
35 papers · 391 indexed · h-index 12
Topics
Tuberculosis Research and Epidemiology (16 papers)Mycobacterium research and diagnosis (16 papers)Bacteriophages and microbial interactions (9 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
RussiaSwitzerlandBelarus

In The Last Decade

Julia Bespyatykh

34 papers receiving 386 citations

Peers

Julia Bespyatykh
Comparison fields: 5 of 64
  • Infectious Diseases 273
  • Epidemiology 247
  • Molecular Biology 150
  • Surgery 120
  • Ecology 47
Replace Ruiliang Jin with:
Ruiliang Jin China
I. G. Shemyakin Russia
Manpreet Bhalla India
Cyril Gaudin France
Álvaro Chiner‐Oms Spain
Rama Murthy Sakamuri United States
B. Gicquel United States
Viacheslav Zhuravlev Russia
Edgar Abadía Venezuela
Rina de Zwaan Netherlands
Julia Bespyatykh relative to Ruiliang Jin China Ruiliang Jin's profile →
Citations per field
00.5×10×14.3×
Ruiliang Jin · 1×
Citations per year

Countries citing papers authored by Julia Bespyatykh

Since Specialization
Citations

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

Fields of papers citing papers by Julia Bespyatykh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Bespyatykh

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Bespyatykh. A scholar is included among the top collaborators of Julia Bespyatykh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julia Bespyatykh. Julia Bespyatykh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3 0
4 1
5 1
6 2
7 5
8 9
9 9
10 3
11 17
12 1
13 11
14 2
15 5
16 11
17 12
18 7
19 9
20 86

About Julia Bespyatykh

Julia Bespyatykh is a scholar working on Infectious Diseases, Epidemiology and Ecology, having authored 35 papers that have together received 391 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (16 papers), Mycobacterium research and diagnosis (16 papers) and Bacteriophages and microbial interactions (9 papers). The work is most often cited by research in Infectious Diseases (273 citations), Epidemiology (247 citations) and Molecular Medicine (17 citations). Julia Bespyatykh has collaborated with scholars based in Russia, Switzerland and Belarus. Frequent co-authors include Egor Shitikov, Igor Mokrousov, Elena N. Ilina, Vadim M. Govorun, Dmitry Ischenko, Dmitry Bespiatykh, Viacheslav Zhuravlev, Maja V. Malakhova, Marine Dogonadze and Anna Vyazovaya. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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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