Miroslav Macek

2.2k citations
49 papers · 1.6k indexed · h-index 20

Miroslav Macek

48 papers receiving 1.5k citations

Peers

Miroslav Macek
Comparison fields: 5 of 93
  • Oceanography 807
  • Environmental Chemistry 567
  • Ecology 1.1k
  • Pollution 184
  • Endocrinology 47
Replace JT Hollibaugh with:
JT Hollibaugh United States
Johanna M. Rinta‐Kanto Finland
Hans Güde Germany
Genoveva F. Esteban United Kingdom
Johan Wikner Sweden
Cristiana Callieri Italy
Paulo S. Salomon Brazil
Elena Manini Italy
Arga Chandrashekar Anil India
Jan Jezbera Czechia
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Citations per field
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Citations per year

Countries citing papers authored by Miroslav Macek

Since Specialization
Citations

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

Fields of papers citing papers by Miroslav Macek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20233
3 20233
4 20225
5 201726
6 201629
7 20168
8
Complex morphological and molecular genetic examination of amelogenesis imperfecta: a case presentation of two Czech siblings with a non-syndrome form of the disease.
20143
9 201433
10 20137
11 201114
12 200921
13 2008143
14 200741
15 2006352
16 1995184
17 19940
18 199420
19
Chemostats used to model the microbial food web: evidence for the feedback effect of herbivorous metazoans
199212
20 19898

About Miroslav Macek

Miroslav Macek is a scholar working on Environmental Chemistry, Oceanography and Ecology, having authored 49 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (27 papers), Marine and coastal ecosystems (26 papers), Aquatic Ecosystems and Phytoplankton Dynamics (19 papers), Protist diversity and phylogeny (14 papers), Wastewater Treatment and Nitrogen Removal (6 papers), Soil and Water Nutrient Dynamics (6 papers), Fish Ecology and Management Studies (4 papers) and Aquaculture disease management and microbiota (4 papers). The work is most often cited by research in Oceanography (807 citations), Environmental Chemistry (567 citations) and Ecology (1.1k citations). Miroslav Macek has collaborated with scholars based in Mexico, Czechia and Austria. Frequent co-authors include Karel Šimek, Jiřı́ Nedoma, Roland Psenner, Jaroslav Vrba, V. Straškrabová, John R. Dolan, Martin W. Hahn, Karel Horňák, Jan Jezbera and Jakob Pernthaler. Their work appears in journals such as Journal of Limnology, Journal of Plankton Research, Water, FEMS Microbiology Ecology and International Review of Hydrobiology.

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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