M. Sobotka

708 citations
46 papers · 474 · h-index 14

Impact in

Papers in

M. Sobotka

46 papers receiving 447 citations

Peers

M. Sobotka
Comparison fields: 5 of 82
  • Process Chemistry and Technology 63
  • Pollution 100
  • Water Science and Technology 47
  • Biomedical Engineering 126
  • Molecular Biology 182
Replace Zongding Hu with:
Zongding Hu China
Chin‐Hang Shu Taiwan
Liang Shi-zhong China
Annapurna Jetty India
Sugima Rappert Germany
Ahmad Ramli Mohd Yahya Malaysia
Lisa O. Dean United States
Balsam T. Mohammad Spain
Takuo Yano Japan
Ridha Mosrati France
M. Sobotka relative to Zongding Hu China Zongding Hu's profile →
Citations per field
00.5×2.9×
Zongding Hu · 1×
Citations per year

Countries citing papers authored by M. Sobotka

Since Specialization
Citations

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

Fields of papers citing papers by M. Sobotka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200877
2 200634
3 200322
4 200922
5 200921
6 200420
7 198320
8 200616
9 201015
10 197815
11 200114
12 200514
13 198114
14 199213
15 198612
16 200212
17 197610
18 20019
19 20059
20 19777

About M. Sobotka

M. Sobotka is a scholar working on Molecular Biology, Pollution, Biomedical Engineering, Mechanical Engineering and Process Chemistry and Technology, having authored 46 papers that have together received 474 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (9 papers), Wastewater Treatment and Nitrogen Removal (8 papers), Odor and Emission Control Technologies (6 papers), Biofuel production and bioconversion (5 papers), Fluid Dynamics and Mixing (4 papers), Fungal Biology and Applications (4 papers), Industrial Gas Emission Control (3 papers) and Minerals Flotation and Separation Techniques (3 papers). The work is most often cited by research in Process Chemistry and Technology (63 citations), Pollution (100 citations), Water Science and Technology (47 citations), Biomedical Engineering (126 citations) and Molecular Biology (182 citations). M. Sobotka has collaborated with scholars based in Czechia, India and Brazil. Frequent co-authors include J. Votruba, A. Prokop, Jan Páca, Tomáš Řezanka, Karel Sigler, Veronika Elišáková, Miroslav Pátek, Marek Prouza, Jiří Holátko and Jan Nešvera. Their work appears in journals such as Biotechnology and Bioengineering, Folia Microbiologica, Journal of Biotechnology, Brazilian Archives of Biology and Technology and Journal of Industrial Microbiology & 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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