Mark V. Baev
Impact in
- Physiology top 10%
-
- Neurological diseases and metabolism
Papers in
-
- Microbial metabolism and enzyme function 6
- Microbial Metabolic Engineering and Bioproduction 4
- Enzyme Catalysis and Immobilization 3
- RNA and protein synthesis mechanisms 2
- Gene expression and cancer classification 2
- Genetics 4
- Bacterial Genetics and Biotechnology 4
- Co-authors
- John W. Campbell (4 shared papers)Dmitry S. Baev (3 shared papers)Agnes Radek (2 shared papers)Michael D. Scholle (1 shared paper)Konstantin Shatalin (1 shared paper)Michael Fonstein (1 shared paper)Yehuda Cohen (1 shared paper)Shamim Chowdhury (1 shared paper)
- Journals
- Applied Microbiology and Biotechnology (3 papers)Antonie van Leeuwenhoek (2 papers)Biotechnology and Bioengineering (1 paper)Journal of Bacteriology (1 paper)Archives of Microbiology (1 paper)
- Partner nations
- RussiaUnited StatesCanada
In The Last Decade
Mark V. Baev
13 papers receiving 486 citations
Peers
Comparison fields: 5 of 81
- Physiology 28
- Neurology 50
- Biochemistry 37
- Molecular Biology 347
- Geriatrics and Gerontology 16
Countries citing papers authored by Mark V. Baev
This map shows the geographic impact of Mark V. Baev'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 Mark V. Baev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark V. Baev more than expected).
Fields of papers citing papers by Mark V. Baev
This network shows the impact of papers produced by Mark V. Baev. 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 Mark V. Baev. The network helps show where Mark V. Baev may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark V. Baev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 236 | |
| 2 | 2006 | 71 | |
| 3 | 2000 | 60 | |
| 4 | 2006 | 42 | |
| 5 | 2006 | 38 | |
| 6 | 1991 | 17 | |
| 7 | 1992 | 10 | |
| 8 | 2002 | 7 | |
| 9 | 1993 | 5 | |
| 10 | 1992 | 4 | |
| 11 | 1997 | 3 | |
| 12 | 1992 | 2 | |
| 13 | 1992 | 2 |
About Mark V. Baev
Mark V. Baev is a scholar working on Molecular Biology, Genetics, Biochemistry, Pollution and Cell Biology, having authored 13 papers that have together received 497 indexed citations. Recurring topics across this work include Microbial metabolism and enzyme function (6 papers), Bacterial Genetics and Biotechnology (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Enzyme Catalysis and Immobilization (3 papers), RNA and protein synthesis mechanisms (2 papers), Hemoglobin structure and function (2 papers), Gene expression and cancer classification (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Physiology (28 citations), Neurology (50 citations), Biochemistry (37 citations), Molecular Biology (347 citations) and Geriatrics and Gerontology (16 citations). Mark V. Baev has collaborated with scholars based in Russia, United States and Canada. Frequent co-authors include John W. Campbell, Dmitry S. Baev, Agnes Radek, Michael D. Scholle, Konstantin Shatalin, Michael Fonstein, Yehuda Cohen, Shamim Chowdhury, Mark D’Souza and Axel Bernal. Their work appears in journals such as Applied Microbiology and Biotechnology, Antonie van Leeuwenhoek, Biotechnology and Bioengineering, Journal of Bacteriology and Archives of Microbiology.
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.