Daniel Bartosik

516 citations
16 papers · 348 · h-index 9

Impact in

  • Ecology top 10%
    • Microbial Community Ecology and Physiology
    • Enzyme Production and Characterization

Papers in

    • Enzyme Production and Characterization 6
    • Microbial Community Ecology and Physiology 7

Daniel Bartosik

13 papers receiving 347 citations

Peers

Daniel Bartosik
Comparison fields: 5 of 37
  • Ecology 165
  • Biotechnology 46
  • Oceanography 62
  • Pollution 62
  • Aquatic Science 23
Replace De‐Chen Lu with:
De‐Chen Lu China
Raju Rajasabapathy India
Yulia V. Alexeeva Australia
Johanna Gutleben Netherlands
Torben Martens Germany
Mariyam Shahina Taiwan
Lekha Menon Margassery Ireland
Mikhail V. Vysotskii Russia
Timo Kohn Germany
Kyung June Yim South Korea
Daniel Bartosik relative to De‐Chen Lu China De‐Chen Lu's profile →
Citations per field
00.5×2×4×5.8×
De‐Chen Lu · 1×
Citations per year

Countries citing papers authored by Daniel Bartosik

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bartosik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202199
2 202162
3 202159
4 202442
5 202318
6 202116
7 202215
8 202113
9 202413
10 20225
11 20244
12 20251
13 20251
14 20250
15 20250
16 20260

About Daniel Bartosik

Daniel Bartosik is a scholar working on Biotechnology, Ecology, Aquatic Science, Plant Science and Genetics, having authored 16 papers that have together received 348 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (7 papers), Enzyme Production and Characterization (6 papers), Polysaccharides and Plant Cell Walls (5 papers), Bacterial Genetics and Biotechnology (3 papers), Seaweed-derived Bioactive Compounds (3 papers), Microbial metabolism and enzyme function (1 paper), Marine and coastal ecosystems (1 paper) and Microplastics and Plastic Pollution (1 paper). The work is most often cited by research in Ecology (165 citations), Biotechnology (46 citations), Oceanography (62 citations), Pollution (62 citations) and Aquatic Science (23 citations). Daniel Bartosik has collaborated with scholars based in Germany, France and Austria. Frequent co-authors include Thomas Schweder, Dörte Becher, Jan‐Hendrik Hehemann, Rudolf Amann, Bernhard Maximilian Fuchs, Hanno Teeling, Ben Francis, Andreas Sichert, Stephanie Markert and Silvia Vidal‐Melgosa. Their work appears in journals such as Environmental Microbiology, Nature Communications, The ISME Journal, ChemBioChem and Microbiome.

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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