Michael Mwangi
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus
Papers in
-
- Bacterial biofilms and quorum sensing 3
- Fungal and yeast genetics research 2
-
- Antimicrobial Resistance in Staphylococcus 5
- Co-authors
- Alexander Tomasz (5 shared papers)Eric D. Siggia (2 shared papers)Hermı́nia de Lencastre (3 shared papers)Eugene W. Myers (1 shared paper)David Bruce (1 shared paper)Shang Wei Wu (1 shared paper)Krzysztof Sieradzki (1 shared paper)Edward M. Rubin (1 shared paper)
- Journals
- PLoS ONE (4 papers)Proceedings of the National Academy of Sciences (2 papers)PLoS Pathogens (1 paper)Nature Structural & Molecular Biology (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesPortugalCanada
In The Last Decade
Michael Mwangi
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Molecular Medicine 182
- Infectious Diseases 552
- Clinical Biochemistry 187
- Endocrinology 136
- Molecular Biology 679
Countries citing papers authored by Michael Mwangi
This map shows the geographic impact of Michael Mwangi'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 Mwangi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Mwangi more than expected).
Fields of papers citing papers by Michael Mwangi
This network shows the impact of papers produced by Michael Mwangi. 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 Mwangi. The network helps show where Michael Mwangi may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Mwangi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 426 | |
| 2 | 2011 | 188 | |
| 3 | 2012 | 111 | |
| 4 | 2016 | 85 | |
| 5 | 2013 | 82 | |
| 6 | 2013 | 58 | |
| 7 | 2003 | 29 | |
| 8 | 2015 | 29 | |
| 9 | 2013 | 21 | |
| 10 | 2014 | 17 | |
| 11 | 2015 | 16 | |
| 12 | 2016 | 14 | |
| 13 | 2016 | 13 | |
| 14 | 2015 | 12 | |
| 15 | 2016 | 6 | |
| 16 | 2023 | 2 | |
| 17 | 1976 | 1 | |
| 18 | 2014 | 1 |
About Michael Mwangi
Michael Mwangi is a scholar working on Molecular Biology, Infectious Diseases, Endocrinology, Clinical Biochemistry and Genetics, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Bacterial biofilms and quorum sensing (3 papers), Escherichia coli research studies (3 papers), Bacterial Genetics and Biotechnology (2 papers), Bacteriophages and microbial interactions (2 papers), Insect symbiosis and bacterial influences (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Molecular Medicine (182 citations), Infectious Diseases (552 citations), Clinical Biochemistry (187 citations), Endocrinology (136 citations) and Molecular Biology (679 citations). Michael Mwangi has collaborated with scholars based in United States, Portugal and Canada. Frequent co-authors include Alexander Tomasz, Eric D. Siggia, Hermı́nia de Lencastre, Eugene W. Myers, David Bruce, Shang Wei Wu, Krzysztof Sieradzki, Edward M. Rubin, Yanjiao Zhou and Paul Richardson. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, PLoS Pathogens, Nature Structural & Molecular Biology 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.