Silke Machata

964 citations
12 papers · 768 · h-index 9

Impact in

    • Listeria monocytogenes in Food Safety
    • Microbial Inactivation Methods
    • Vibrio bacteria research studies

Papers in

    • Bacterial Infections and Vaccines 4
    • Listeria monocytogenes in Food Safety 4
    • Microbial Inactivation Methods 2

Silke Machata

12 papers receiving 755 citations

Peers

Silke Machata
Comparison fields: 5 of 78
  • Biotechnology 390
  • Endocrinology 86
  • Food Science 272
  • Microbiology 72
  • Molecular Medicine 30
Replace Marcel R. Eugster with:
Marcel R. Eugster Switzerland
Renaud Jonquières France
Ivo Van Walle Sweden
Denis Brochu Canada
Cathy Charlier France
Lucía Yim Uruguay
Zeljka Sokolovic Germany
Stefanie Müller‐Altrock Germany
Claude Chiaruttini France
Audrey Dumont France
Silke Machata relative to Marcel R. Eugster Switzerland Marcel R. Eugster's profile →
Citations per field
00.5×1.5×
Marcel R. Eugster · 1×
Citations per year

Countries citing papers authored by Silke Machata

Since Specialization
Citations

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

Fields of papers citing papers by Silke Machata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2006313
2 2008128
3 200881
4 201867
5 200558
6 201558
7 201423
8 201320
9 202011
10 20216
11 20252
12 20201

About Silke Machata

Silke Machata is a scholar working on Microbiology, Biotechnology, Infectious Diseases, Food Science and Condensed Matter Physics, having authored 12 papers that have together received 768 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (4 papers), Listeria monocytogenes in Food Safety (4 papers), Antifungal resistance and susceptibility (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Peptidase Inhibition and Analysis (3 papers), Fungal Infections and Studies (2 papers), Micro and Nano Robotics (2 papers) and Microbial Inactivation Methods (2 papers). The work is most often cited by research in Biotechnology (390 citations), Endocrinology (86 citations), Food Science (272 citations), Microbiology (72 citations) and Molecular Medicine (30 citations). Silke Machata has collaborated with scholars based in Germany, France and China. Frequent co-authors include Torsten Hain, Trinad Chakraborty, Carsten Tobias Kuenne, Hamid Hossain, Eugen Domann, Manfred Rohde, Guillaume Duménil, Walid A. Mohamed, Lothar Jänsch and Svetlin Tchatalbachev. Their work appears in journals such as Journal of Bacteriology, Infection and Immunity, Cellular Microbiology, PLoS Pathogens and Comptes Rendus Biologies.

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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