Mikhail Martchenko
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Epidemiology top 10%
- Fungal Infections and Studies
- Pneumocystis jirovecii pneumonia detection and treatment
Papers in
-
- Antifungal resistance and susceptibility 5
- Viral Infections and Outbreaks Research 2
- Genetics 8
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Malcolm S. Whiteway (4 shared papers)Doreen Harcus (1 shared paper)Anne‐Marie Alarco (1 shared paper)Anastasia Levitin (5 shared papers)Hervé Hogues (2 shared papers)André Nantel (2 shared papers)Stanley N. Cohen (4 shared papers)Sun‐Young Jeong (3 shared papers)
- Journals
- Scientific Reports (3 papers)Proceedings of the National Academy of Sciences (3 papers)Vaccine (2 papers)ACS Infectious Diseases (2 papers)Genome biology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Mikhail Martchenko
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Infectious Diseases 612
- Epidemiology 381
- Molecular Biology 526
- Food Science 124
- Biotechnology 48
Countries citing papers authored by Mikhail Martchenko
This map shows the geographic impact of Mikhail Martchenko'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 Mikhail Martchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Martchenko more than expected).
Fields of papers citing papers by Mikhail Martchenko
This network shows the impact of papers produced by Mikhail Martchenko. 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 Mikhail Martchenko. The network helps show where Mikhail Martchenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Mikhail Martchenko, 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 | 2005 | 273 | |
| 2 | 2003 | 247 | |
| 3 | 2007 | 141 | |
| 4 | 2007 | 137 | |
| 5 | 2010 | 55 | |
| 6 | 2015 | 40 | |
| 7 | 2015 | 35 | |
| 8 | 2013 | 27 | |
| 9 | 2006 | 24 | |
| 10 | 2016 | 24 | |
| 11 | 2012 | 18 | |
| 12 | 2015 | 18 | |
| 13 | 2015 | 17 | |
| 14 | 2018 | 7 | |
| 15 | 2018 | 5 | |
| 16 | 2016 | 4 | |
| 17 | 2017 | 2 |
About Mikhail Martchenko
Mikhail Martchenko is a scholar working on Infectious Diseases, Genetics, Molecular Biology, Virology and Biotechnology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (10 papers), Bacterial Genetics and Biotechnology (6 papers), Antifungal resistance and susceptibility (5 papers), Fungal and yeast genetics research (3 papers), Fungal Infections and Studies (2 papers), Bacteriophages and microbial interactions (2 papers), Transgenic Plants and Applications (2 papers) and Viral Infections and Outbreaks Research (2 papers). The work is most often cited by research in Infectious Diseases (612 citations), Epidemiology (381 citations), Molecular Biology (526 citations), Food Science (124 citations) and Biotechnology (48 citations). Mikhail Martchenko has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Malcolm S. Whiteway, Doreen Harcus, Anne‐Marie Alarco, Anastasia Levitin, Hervé Hogues, André Nantel, Stanley N. Cohen, Sun‐Young Jeong, Kevin Kim and Matthew Berriman. Their work appears in journals such as Scientific Reports, Proceedings of the National Academy of Sciences, Vaccine, ACS Infectious Diseases and Genome biology.
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.