Michael Kubal

15.6k citations
4 papers · 2.8k indexed · 1 hit paper · h-index 4

Impact in

  • Ecology top 1%
    • Microbial Community Ecology and Physiology
    • Bacteriophages and microbial interactions
  • Pollution top 5%
    • Wastewater Treatment and Nitrogen Removal

Papers in

    • Antimicrobial Resistance in Staphylococcus 1
    • Bioinformatics and Genomic Networks 2
    • Genomics and Phylogenetic Studies 2
    • Gene expression and cancer classification 2

Michael Kubal

4 papers receiving 2.8k citations

Hit Papers

The metagenomics RAST server – a public resource for the automatic phylogenetic and functional analysis of metagenomes 2008 · 2.7k citations
2.7k200820262014202050010001.5k2.0k2.5k

Peers

Michael Kubal
Comparison fields: 5 of 137
  • Ecology 1.4k
  • Pollution 331
  • Environmental Chemistry 246
  • Molecular Biology 1.7k
  • Endocrinology 71
Replace M. D'Souza with:
M. D'Souza United States
Tobias Paczian United States
A. García-Rodríguez Spain
Edward Kirton United States
Hans‐Joachim Ruscheweyh Switzerland
Hongik Kim South Korea
Ines Mandić-Mulec Slovenia
Friedrich von Wintzingerode Germany
Alexander Sczyrba Germany
Victor Kunin United States
Michael Kubal relative to M. D'Souza United States M. D'Souza's profile →
Citations per field
00.5×1.5×
M. D'Souza · 1×
Citations per year

Countries citing papers authored by Michael Kubal

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kubal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Michael Kubal, 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 Michael Kubal Line = papers co-authored together Michael Kubal links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Michael Kubal

Michael Kubal is a scholar working on Infectious Diseases, Molecular Biology, Ecology, Genetics and Public Health, Environmental and Occupational Health, having authored 4 papers that have together received 2.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Genomics and Phylogenetic Studies (2 papers), Gene expression and cancer classification (2 papers), Neonatal and Maternal Infections (1 paper), Microbial Community Ecology and Physiology (1 paper), Bacterial Genetics and Biotechnology (1 paper), Streptococcal Infections and Treatments (1 paper) and Antimicrobial Resistance in Staphylococcus (1 paper). The work is most often cited by research in Ecology (1.4k citations), Pollution (331 citations), Environmental Chemistry (246 citations), Molecular Biology (1.7k citations) and Endocrinology (71 citations). Michael Kubal has collaborated with scholars based in United States, Belgium and Australia. Frequent co-authors include Rick Stevens, Robert A. Edwards, Folker Meyer, Richard E. Olson, M. D'Souza, Andreas Wilke, Tobias Paczian, A. García-Rodríguez, Michael Fonstein and Svetlana Gerdes. Their work appears in journals such as PLoS ONE, Current Opinion in Biotechnology and BMC Bioinformatics.

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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