I. P. Baskova

416 citations
18 papers · 329 indexed · h-index 8

I. P. Baskova

16 papers receiving 304 citations

Peers

I. P. Baskova
Comparison fields: 5 of 68
  • Pharmacology 166
  • Internal Medicine 16
  • Microbiology 24
  • Genetics 100
  • Immunology 73
Replace L. L. Zavalova with:
L. L. Zavalova Russia
С. Б. Акопов Russia
I. P. Baskova Russia
Alexander Kettner Switzerland
Marjorie Romero Costa Rica
Marcelo A. Strauch Brazil
Djélila Hammoudi-Triki Algeria
Naoual Oukkache Morocco
Luíz Fernando Moreira Izidoro Brazil
Tamiko Matsufuji Japan
I. P. Baskova relative to L. L. Zavalova Russia L. L. Zavalova's profile →
Citations per field
00.5×1.6×
L. L. Zavalova · 1×
Citations per year

Countries citing papers authored by I. P. Baskova

Since Specialization
Citations

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

Fields of papers citing papers by I. P. Baskova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. P. Baskova. 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 I. P. Baskova. The network helps show where I. P. Baskova may publish in the future.

Co-authorship network

The 20 scholars most cited alongside I. P. Baskova, 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 I. P. Baskova Line = papers co-authored together I. P. Baskova links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20215
2 20120
3 20110
4 20102
5 20032
6 200228
7 200139
8 200125
9 200075
10 19973
11 199680
12 199218
13
[Kinetics of L-gamma-Glu-pNA hydrolysis by destabilase, the enzyme from the medicinal leech Hirudo medicinalis].
19904
14 19883
15
[Destabilase: an enzyme of medicinal leech salivary gland secretion hydrolyzes the isopeptide bonds in stabilized fibrin].
198523
16 19844
17 198317
18
[Use of N-benzoyl-phenylalanyl-valyl-arginine p-nitroanilide and hirudin for the detection of enzymatic activity under prothrombin acylation by citraconic anhydride].
19771

About I. P. Baskova

I. P. Baskova is a scholar working on Pharmacology, Genetics and Biotechnology, having authored 18 papers that have together received 329 indexed citations. Recurring topics across this work include Leech Biology and Applications (9 papers), Venomous Animal Envenomation and Studies (8 papers), Healthcare and Venom Research (8 papers), Blood properties and coagulation (2 papers), Enzyme Production and Characterization (2 papers), Amino Acid Enzymes and Metabolism (1 paper), Beetle Biology and Toxicology Studies (1 paper) and Hemostasis and retained surgical items (1 paper). The work is most often cited by research in Pharmacology (166 citations), Internal Medicine (16 citations) and Microbiology (24 citations). I. P. Baskova has collaborated with scholars based in Russia and Tajikistan. Frequent co-authors include L. L. Zavalova, С. Б. Акопов, E. V. Snezhkov, Sergey Lukyanov, Е. А. Богданова, Е. Д. Свердлов, Ekaterina Barsova, V. V. Mosolov, Д. Г. Козлов and Valentina I. Kiseleva. Their work appears in journals such as Thrombosis Research, Current Issues in Molecular Biology, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Journal of Thrombosis and Haemostasis and Biochemistry (Moscow).

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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