M. V. Telkov

670 citations
14 papers · 527 · h-index 10

Impact in

Papers in

    • Signaling Pathways in Disease 2
    • RNA and protein synthesis mechanisms 2
    • RNA Research and Splicing 2
    • Molecular Biology Techniques and Applications 2
    • Tuberculosis Research and Epidemiology 3

M. V. Telkov

14 papers receiving 517 citations

Peers

M. V. Telkov
Comparison fields: 5 of 78
  • Molecular Medicine 90
  • Infectious Diseases 213
  • Endocrinology 50
  • Epidemiology 187
  • Ecology 74
Replace Weihui Li with:
Weihui Li China
Haifeng Shao China
Marwa Azab Egypt
Elena Pérez‐Nadales Spain
Jose Martinez Spain
Sara Lopes Portugal
Maite Villanueva Spain
Lynne S. Cairns United Kingdom
Anne Busch Germany
M. V. Telkov relative to Weihui Li China Weihui Li's profile →
Citations per field
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Weihui Li · 1×
Citations per year

Countries citing papers authored by M. V. Telkov

Since Specialization
Citations

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

Fields of papers citing papers by M. V. Telkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2002162
2 2002138
3 200655
4 200349
5 199835
6 199817
7 199516
8 199515
9 200315
10 198610
11
[Formation of nonculturable Mycobacterium tuberculosis and their regeneration].
20039
12 20153
13 20132
14 20121

About M. V. Telkov

M. V. Telkov is a scholar working on Molecular Biology, Infectious Diseases, Cellular and Molecular Neuroscience, Pharmaceutical Science and Epidemiology, having authored 14 papers that have together received 527 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (3 papers), Tuberculosis Research and Epidemiology (3 papers), Signaling Pathways in Disease (2 papers), Mycobacterium research and diagnosis (2 papers), Chemical Reactions and Isotopes (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA Research and Splicing (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Molecular Medicine (90 citations), Infectious Diseases (213 citations), Endocrinology (50 citations), Epidemiology (187 citations) and Ecology (74 citations). M. V. Telkov has collaborated with scholars based in Russia, Sweden and United Kingdom. Frequent co-authors include Arseny S. Kaprelyants, Galina V. Mukamolova, Douglas B. Kell, Marian F. Young, Margarita O. Shleeva, Konstantin Kazarian, Karine Bagramyan, Obolbek Turapov, Michael Young and Thomas Geijer. Their work appears in journals such as Molecular Microbiology, Microbiology, European Journal of Neuroscience, Brain Research and Infection and Immunity.

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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