Jan Mach
Impact in
- Endocrinology top 10%
- Legionella and Acanthamoeba research
- Parasitology top 10%
- Parasitic Infections and Diagnostics
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 5
- Protist diversity and phylogeny 3
- Mitochondrial Function and Pathology 3
- Photosynthetic Processes and Mechanisms 3
-
- Trypanosoma species research and implications 7
- Co-authors
- Róbert Šuťák (17 shared papers)Jan Tachezy (7 shared papers)Eva Nývltová (3 shared papers)Jean‐Michel Camadro (4 shared papers)Julius Lukeš (3 shared papers)Emmanuel Lesuisse (4 shared papers)Andrew J. Roger (2 shared papers)Chris Bowler (3 shared papers)
- Journals
- Molecular Microbiology (2 papers)Metallomics (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)International Journal for Parasitology (2 papers)Molecular Biology and Evolution (2 papers)
- Partner nations
- CzechiaFranceUnited States
In The Last Decade
Jan Mach
31 papers receiving 351 citations
Peers
Comparison fields: 5 of 79
- Endocrinology 41
- Parasitology 52
- Oceanography 64
- Ecology 89
- Molecular Biology 177
Countries citing papers authored by Jan Mach
This map shows the geographic impact of Jan Mach'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 Jan Mach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Mach more than expected).
Fields of papers citing papers by Jan Mach
This network shows the impact of papers produced by Jan Mach. 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 Jan Mach. The network helps show where Jan Mach may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Mach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 78 | |
| 2 | 2015 | 45 | |
| 3 | 2008 | 34 | |
| 4 | 2019 | 18 | |
| 5 | 2021 | 17 | |
| 6 | 2013 | 17 | |
| 7 | 2013 | 16 | |
| 8 | 2018 | 16 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 12 | |
| 11 | 2020 | 12 | |
| 12 | 2016 | 12 | |
| 13 | 2017 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2005 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2023 | 3 |
About Jan Mach
Jan Mach is a scholar working on Molecular Biology, Epidemiology, Endocrinology, Ecology and Computational Theory and Mathematics, having authored 36 papers that have together received 358 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (7 papers), Legionella and Acanthamoeba research (6 papers), Heme Oxygenase-1 and Carbon Monoxide (5 papers), Microbial Community Ecology and Physiology (4 papers), Protist diversity and phylogeny (3 papers), Mitochondrial Function and Pathology (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Endocrinology (41 citations), Parasitology (52 citations), Oceanography (64 citations), Ecology (89 citations) and Molecular Biology (177 citations). Jan Mach has collaborated with scholars based in Czechia, France and United States. Frequent co-authors include Róbert Šuťák, Jan Tachezy, Eva Nývltová, Jean‐Michel Camadro, Julius Lukeš, Emmanuel Lesuisse, Andrew J. Roger, Chris Bowler, Elena Kazamia and Courtney W. Stairs. Their work appears in journals such as Molecular Microbiology, Metallomics, Antimicrobial Agents and Chemotherapy, International Journal for Parasitology and Molecular Biology and Evolution.
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.