В. Иванова

544 citations
40 papers · 435 · h-index 11

Impact in

Papers in

    • Enzyme Catalysis and Immobilization 11
    • Protein Hydrolysis and Bioactive Peptides 4
    • Enzyme Production and Characterization 13

В. Иванова

39 papers receiving 403 citations

Peers

В. Иванова
Comparison fields: 5 of 80
  • Biotechnology 177
  • Aquatic Science 65
  • Nutrition and Dietetics 93
  • Pharmacology 68
  • Physiology 17
Replace Annabella Tramice with:
Annabella Tramice Italy
Xianjun Dai China
Liudmila Tekutyeva Russia
Huimin Lin China
Abbasali Motallebi Iran
Kiira S. Vuoristo Norway
E. S. Sharpe United States
Kannan Sivakumar India
Véronique Paquet France
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Citations per field
00.5×8.5×
Annabella Tramice · 1×
Citations per year

Countries citing papers authored by В. Иванова

Since Specialization
Citations

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

Fields of papers citing papers by В. Иванова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside В. Иванова, 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 В. Иванова Line = papers co-authored together В. Иванова links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199480
2 200572
3 199649
4 200229
5 199618
6 199417
7 199417
8 199414
9 199813
10 199113
11 200311
12 199510
13 200910
14 20108
15 19987
16
Neuropogonines A, B and C, new depsidon-type metabolites from Neuropogon sp., an Antarctic lichen.
20026
17 19896
18 19986
19 19985
20
Biological characteristics and antibiotic production of Streptomyces hygroscopicus strains
19944

About В. Иванова

В. Иванова is a scholar working on Molecular Biology, Biotechnology, Pharmacology, Nutrition and Dietetics and Plant Science, having authored 40 papers that have together received 435 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (13 papers), Enzyme Catalysis and Immobilization (11 papers), Microbial Natural Products and Biosynthesis (8 papers), Microbial Metabolites in Food Biotechnology (6 papers), Advanced Control Systems Optimization (5 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Spectroscopy and Chemometric Analyses (3 papers) and Lichen and fungal ecology (3 papers). The work is most often cited by research in Biotechnology (177 citations), Aquatic Science (65 citations), Nutrition and Dietetics (93 citations), Pharmacology (68 citations) and Physiology (17 citations). В. Иванова has collaborated with scholars based in Bulgaria, Germany and Czechia. Frequent co-authors include Е. Добрева, Alexandra Tonkova, Julia Serkedjieva, Nevena Manolova, D Spasova, Jordan Hristov, Maya Stefanova, Kristina Uzunova, R. Schlegel and Lyudmila Kabaivanova. Their work appears in journals such as Process Biochemistry, Applied Biochemistry and Biotechnology, Microbiological Research, Journal of Industrial Microbiology & Biotechnology and International Journal of Biological Macromolecules.

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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