Michael Mwangi

1.5k citations
19 papers · 1.2k · h-index 14

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 3
    • Fungal and yeast genetics research 2
    • RNA Research and Splicing 2
    • Antimicrobial Resistance in Staphylococcus 5
    • Viral gastroenteritis research and epidemiology 2

Michael Mwangi

19 papers receiving 1.1k citations

Peers

Michael Mwangi
Comparison fields: 5 of 88
  • Molecular Medicine 176
  • Infectious Diseases 566
  • Endocrinology 137
  • Clinical Biochemistry 163
  • Molecular Biology 637
Replace Sybille Schwendener with:
Sybille Schwendener Switzerland
Fiona J. E. Morgan United Kingdom
Christoph M. Ernst Germany
Xiaomei Hu China
Charlotte Michaux France
M Doi Japan
Andreas Thomann Switzerland
Ralph Bertram Germany
Rajan P. Adhikari United States
Michele Trucksis United States
Michael Mwangi relative to Sybille Schwendener Switzerland Sybille Schwendener's profile →
Citations per field
00.5×1.5×
Sybille Schwendener · 1×
Citations per year

Countries citing papers authored by Michael Mwangi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michael Mwangi Line = papers co-authored together Michael Mwangi links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2007451
2 2011191
3 2012115
4 201687
5 201385
6 201360
7 201530
8 200329
9 201321
10 201018
11 201417
12 201517
13 201614
14 201613
15 201512
16 20166
17 20233
18 19761
19 20141

About Michael Mwangi

Michael Mwangi is a scholar working on Molecular Biology, Infectious Diseases, Endocrinology, Clinical Biochemistry and Ecology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (5 papers), Bacterial biofilms and quorum sensing (3 papers), Escherichia coli research studies (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Fungal and yeast genetics research (2 papers), Infections and bacterial resistance (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Molecular Medicine (176 citations), Infectious Diseases (566 citations), Endocrinology (137 citations), Clinical Biochemistry (163 citations) and Molecular Biology (637 citations). Michael Mwangi has collaborated with scholars based in United States, Portugal and China. Frequent co-authors include Alexander Tomasz, Eric D. Siggia, Hermı́nia de Lencastre, David Bruce, Eugene W. Myers, Krzysztof Sieradzki, Shang Wei Wu, Paul Richardson, Edward M. Rubin and Yanjiao Zhou. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Microbial Drug Resistance, Nature Structural & Molecular Biology and African Arts.

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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