V. Beschkov

938 citations
76 papers · 690 · h-index 15

Impact in

    • Enzyme Production and Characterization
  • Pollution top 10%
    • Wastewater Treatment and Nitrogen Removal

Papers in

    • Microbial Metabolic Engineering and Bioproduction 17
    • Enzyme Catalysis and Immobilization 12
    • Microbial metabolism and enzyme function 9
    • Biofuel production and bioconversion 9

V. Beschkov

72 papers receiving 652 citations

Peers

V. Beschkov
Comparison fields: 5 of 95
  • Biotechnology 135
  • Pollution 118
  • Nutrition and Dietetics 100
  • Biochemistry 41
  • Environmental Engineering 77
Replace Liang Shi-zhong with:
Liang Shi-zhong China
W. Todd French United States
Gervásio Paulo da Silva Brazil
Jiaying Xin China
Emine Bayraktar Türkiye
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Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by V. Beschkov

Since Specialization
Citations

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

Fields of papers citing papers by V. Beschkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199842
2 198641
3 199839
4 200338
5 200336
6
Biotransformation of Phytosterols to Androstenedione in Two Phase Water-oil Systems
200631
7 198428
8 202327
9 199427
10 200827
11 201323
12 200520
13 201818
14 201917
15 200515
16 199514
17 198713
18 200712
19 197812
20 200511

About V. Beschkov

V. Beschkov is a scholar working on Molecular Biology, Biomedical Engineering, Environmental Engineering, Biotechnology and Pollution, having authored 76 papers that have together received 690 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (17 papers), Enzyme Catalysis and Immobilization (12 papers), Microbial Fuel Cells and Bioremediation (11 papers), Microbial metabolism and enzyme function (9 papers), Enzyme Production and Characterization (9 papers), Biofuel production and bioconversion (9 papers), Microbial Metabolites in Food Biotechnology (8 papers) and Anaerobic Digestion and Biogas Production (5 papers). The work is most often cited by research in Biotechnology (135 citations), Pollution (118 citations), Nutrition and Dietetics (100 citations), Biochemistry (41 citations) and Environmental Engineering (77 citations). V. Beschkov has collaborated with scholars based in Bulgaria, Canada and Australia. Frequent co-authors include Светлозар Велизаров, Dragomir Yankov, Maria R. Kosseva, John F. Kennedy, Linda L. Lloyd, Viara Ivanova, Stefan Stefanov, Alexandra Tonkova, Е. Добрева and Jean‐Marc Engasser. Their work appears in journals such as Biochemical Engineering Journal, Bioprocess and Biosystems Engineering, Process Biochemistry, Energies and World Journal of Microbiology and Biotechnology.

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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