Michaël Otto
Impact in
- Microbiology top 0.01%
- Antimicrobial Peptides and Activities
- Infectious Diseases top 0.01%
- Antimicrobial Resistance in Staphylococcus
- HIV/AIDS drug development and treatment
Papers in
-
- Antimicrobial Resistance in Staphylococcus 194
- HIV/AIDS drug development and treatment 53
-
- Bacterial biofilms and quorum sensing 153
- Biochemical and Structural Characterization 54
- Co-authors
- Gordon Y. C. Cheung (48 shared papers)Cuong Vuong (28 shared papers)Frank R. DeLeo (33 shared papers)Hwang‐Soo Joo (33 shared papers)Andreas Peschel (24 shared papers)Amer E. Villaruz (32 shared papers)Daniel E. Sturdevant (22 shared papers)Barry N. Kreiswirth (12 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (28 papers)The Journal of Infectious Diseases (19 papers)PLoS ONE (15 papers)Infection and Immunity (15 papers)Antiviral chemistry & chemotherapy (12 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Michaël Otto
379 papers receiving 39.3k citations
Michaël Otto's Hit Papers
Peers
Comparison fields: 5 of 182
- Microbiology 6.9k
- Infectious Diseases 18.9k
- Clinical Biochemistry 2.9k
- Molecular Medicine 1.7k
- Molecular Biology 21.7k
Countries citing papers authored by Michaël Otto
This map shows the geographic impact of Michaël Otto'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 Michaël Otto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Otto more than expected).
Fields of papers citing papers by Michaël Otto
This network shows the impact of papers produced by Michaël Otto. 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 Michaël Otto. The network helps show where Michaël Otto may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaël Otto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 383 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Staphylococcus epidermidis — the 'accidental' pathogen Hit paper breakdown → | 2009 | 1352 |
| 2 | Community-associated meticillin-resistant Staphylococcus aureus Hit paper breakdown → | 2010 | 1184 |
| 3 | Pathogenicity and virulence of Staphylococcus aureus Hit paper breakdown → | 2021 | 898 |
| 4 | Identification of novel cytolytic peptides as key virulence determinants for community-associated MRSA Hit paper breakdown → | 2007 | 823 |
| 5 | Inactivation of the dlt Operon inStaphylococcus aureus Confers Sensitivity to Defensins, Protegrins, and Other Antimicrobial Peptides Hit paper breakdown → | 1999 | 820 |
| 6 | Staphylococcal Biofilms Hit paper breakdown → | 2008 | 735 |
| 7 | Rational Design of Potent, Bioavailable, Nonpeptide Cyclic Ureas as HIV Protease Inhibitors Hit paper breakdown → | 1994 | 683 |
| 8 | Staphylococcus aureus Resistance to Human Defensins and Evasion of Neutrophil Killing via the Novel Virulence Factor Mprf Is Based on Modification of Membrane Lipids with Hit paper breakdown → | 2001 | 625 |
| 9 | Different drugs for bad bugs: antivirulence strategies in the age of antibiotic resistance Hit paper breakdown → | 2017 | 576 |
| 10 | Staphylococcus epidermidis infections Hit paper breakdown → | 2002 | 560 |
| 11 | The Skeletal Muscle Chloride Channel in Dominant and Recessive Human Myotonia Hit paper breakdown → | 1992 | 556 |
| 12 | Inducible expression of human hepatitis B virus (HBV) in stably transfected hepatoblastoma cells: a novel system for screening potential inhibitors of HBV replication Hit paper breakdown → | 1997 | 526 |
| 13 | Discovery of a β- Hit paper breakdown → | 2010 | 491 |
| 14 | How Staphylococcus aureus biofilms develop their characteristic structure Hit paper breakdown → | 2012 | 480 |
| 15 | Pathogen elimination by probiotic Bacillus via signalling interference Hit paper breakdown → | 2018 | 477 |
| 16 | 2004 | 472 | |
| 17 | Staphylococcus aureus toxins Hit paper breakdown → | 2013 | 467 |
| 18 | 2008 | 462 | |
| 19 | 2006 | 460 | |
| 20 | Staphylococcal Infections: Mechanisms of Biofilm Maturation and Detachment as Critical Determinants of Pathogenicity Hit paper breakdown → | 2012 | 456 |
About Michaël Otto
Michaël Otto is a scholar working on Infectious Diseases, Molecular Biology, Microbiology, Epidemiology and Immunology, having authored 383 papers that have together received 40.3k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (194 papers), Bacterial biofilms and quorum sensing (153 papers), Antimicrobial Peptides and Activities (78 papers), Biochemical and Structural Characterization (54 papers), HIV/AIDS drug development and treatment (53 papers), Hepatitis C virus research (33 papers), Hepatitis B Virus Studies (25 papers) and Bacterial Identification and Susceptibility Testing (25 papers). The work is most often cited by research in Microbiology (6.9k citations), Infectious Diseases (18.9k citations), Clinical Biochemistry (2.9k citations), Molecular Medicine (1.7k citations) and Molecular Biology (21.7k citations). Michaël Otto has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Gordon Y. C. Cheung, Cuong Vuong, Frank R. DeLeo, Hwang‐Soo Joo, Andreas Peschel, Amer E. Villaruz, Daniel E. Sturdevant, Barry N. Kreiswirth, Henry F. Chambers and Friedrich Götz. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The Journal of Infectious Diseases, PLoS ONE, Infection and Immunity and Antiviral chemistry & chemotherapy.
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.