M. Yu. Rubtsova

1.5k citations
85 papers · 1.1k indexed · h-index 16
Topics
Antibiotic Resistance in Bacteria (32 papers)Advanced biosensing and bioanalysis techniques (23 papers)Biosensors and Analytical Detection (18 papers)
Journals
SHILAP Revista de lepidopterologíaAnalytical ChemistryInternational Journal of Molecular Sciences
Partner nations
RussiaTajikistanGermany

In The Last Decade

M. Yu. Rubtsova

75 papers receiving 1.1k citations

Peers

M. Yu. Rubtsova
Comparison fields: 5 of 107
  • Molecular Biology 554
  • Biomedical Engineering 383
  • Molecular Medicine 263
  • Electrical and Electronic Engineering 202
  • Pharmacology 108
Replace DAVID J. C. KNOWLES with:
DAVID J. C. KNOWLES United Kingdom
Nicholas P. Tucker United Kingdom
Vincent Gau United States
Sylvain Orenga France
Richard Yi-Tsun Kao Hong Kong
Saisubramanian Nagarajan India
Linda Váradi Australia
Jianxun Lin China
Kang‐Mu Lee South Korea
M. Yu. Rubtsova relative to DAVID J. C. KNOWLES United Kingdom DAVID J. C. KNOWLES's profile →
Citations per field
00.5×10.8×
DAVID J. C. KNOWLES · 1×
Citations per year

Countries citing papers authored by M. Yu. Rubtsova

Since Specialization
Citations

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

Fields of papers citing papers by M. Yu. Rubtsova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Yu. Rubtsova. 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 M. Yu. Rubtsova. The network helps show where M. Yu. Rubtsova may publish in the future.

Co-authorship network of co-authors of M. Yu. Rubtsova

This figure shows the co-authorship network connecting the top 25 collaborators of M. Yu. Rubtsova. A scholar is included among the top collaborators of M. Yu. Rubtsova 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 M. Yu. Rubtsova. M. Yu. Rubtsova 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 1
2 0
3 0
4 0
5 2
6 1
7 1
8 1
9 14
10 14
11 9
12 101
13 30
14 2
15
Combating bacterial antibiotic resistance: novel lactamase inhibitors
2
16 15
17 21
18 20
19 23
20 39

About M. Yu. Rubtsova

M. Yu. Rubtsova is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Endocrinology, having authored 85 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (32 papers), Advanced biosensing and bioanalysis techniques (23 papers) and Biosensors and Analytical Detection (18 papers). The work is most often cited by research in Molecular Medicine (263 citations), Applied Microbiology and Biotechnology (49 citations) and Bioengineering (78 citations). M. Yu. Rubtsova has collaborated with scholars based in Russia, Tajikistan and Germany. Frequent co-authors include А.М. Егоров, G. V. Presnova, Arkady A. Karyakin, G.M. Grigorenko, И. П. Андреева, J.V. Samsonova, D. Е. Presnov, Rolf D. Schmid, V. A. Krupenin and О. В. Игнатенко. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and International Journal of Molecular Sciences.

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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