Mike Gajdiss

474 total citations
10 papers, 333 citations indexed

About

Mike Gajdiss is a scholar working on Infectious Diseases, Molecular Biology and Pharmacology. According to data from OpenAlex, Mike Gajdiss has authored 10 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 4 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Mike Gajdiss's work include Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Mike Gajdiss is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Mike Gajdiss collaborates with scholars based in Germany, Australia and Gabon. Mike Gajdiss's co-authors include Gabriele Bierbaum, Esther Sib, Ricarda Maria Schmithausen, Marijo Parčina, Hans‐Georg Sahl, Heike Müller, Christiane Schreiber, Nicole Zacharias, Michael Nagel and Martin Exner and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and FEMS Microbiology Ecology.

In The Last Decade

Mike Gajdiss

10 papers receiving 332 citations

Peers

Mike Gajdiss

MB

ID

MM

POLLU

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Leonardo Furi United Kingdom

Yueru Tian China

Francisco Salvà‐Serra Sweden

Anna Johnning Sweden

Aleksandra Kozińska Poland

Christopher Connor United Kingdom

Hwa Su Kim South Korea

Hamed Tahmasebi Iran

Audun Sivertsen Norway

Regula Tinguely Switzerland

Leonardo Furi United Kingdom

Mike Gajdiss

238 ×1.7

MB

149 ×1.1

ID

97 ×0.9

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79 ×0.8

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27 ×0.4

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Citations per year, relative to Mike Gajdiss Mike Gajdiss (= 1×) peers Leonardo Furi

Countries citing papers authored by Mike Gajdiss

Since Specialization

Citations

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

Fields of papers citing papers by Mike Gajdiss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Gajdiss

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Gajdiss. A scholar is included among the top collaborators of Mike Gajdiss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mike Gajdiss. Mike Gajdiss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Steffens, Ursula, Mike Gajdiss, Christiane Szekat, et al.. (2022). Cervimycin-Resistant Staphylococcus aureus Strains Display Vancomycin-Intermediate Resistant Phenotypes. Microbiology Spectrum. 10(5). e0256722–e0256722. 4 indexed citations

2.

Gajdiss, Mike, Ian R. Monk, Ute Bertsche, et al.. (2020). YycH and YycI Regulate Expression of Staphylococcus aureus Autolysins by Activation of WalRK Phosphorylation. Microorganisms. 8(6). 870–870. 24 indexed citations

3.

Sib, Esther, Mykhailo Savin, Norman Hembach, et al.. (2020). Bacteria isolated from hospital, municipal and slaughterhouse wastewaters show characteristic, different resistance profiles. The Science of The Total Environment. 746. 140894–140894. 42 indexed citations

4.

Josten, Michaele, Mike Gajdiss, Esther Sib, et al.. (2018). Detection of methicillin-resistant coagulase-negative staphylococci harboring the class A mec complex by MALDI-TOF mass spectrometry. International Journal of Medical Microbiology. 308(5). 522–526. 24 indexed citations

5.

Müller, Heike, Esther Sib, Mike Gajdiss, et al.. (2018). Dissemination of multi-resistant Gram-negative bacteria into German wastewater and surface waters. FEMS Microbiology Ecology. 94(5). 78 indexed citations

6.

Eibach, Daniel, Michael Nagel, Benedikt Hogan, et al.. (2017). Nasal Carriage of Staphylococcus aureus among Children in the Ashanti Region of Ghana. PLoS ONE. 12(1). e0170320–e0170320. 45 indexed citations

7.

Gajdiss, Mike, Achim Hoerauf, M. Exner, et al.. (2017). Rapid monitoring of vancomycin-resistant Enterococcus faecium in hospital departments by repetitive element palindromic polymerase chain reaction. Journal of Hospital Infection. 99(2). 208–217. 1 indexed citations

8.

Engels, Ina, Marvin D. Rausch, Mike Gajdiss, et al.. (2016). The cell wall precursor lipid II acts as a molecular signal for the Ser/Thr kinase PknB of Staphylococcus aureus. International Journal of Medical Microbiology. 307(1). 1–10. 60 indexed citations

9.

Gajdiss, Mike, Thorsten Thye, Stephan Lorenzen, et al.. (2016). Differentiation of Staphylococcus argenteus (formerly: Staphylococcus aureus clonal complex 75) by mass spectrometry from S. aureus using the first strain isolated from a wild African great ape. International Journal of Medical Microbiology. 307(1). 57–63. 49 indexed citations

10.

Gajdiss, Mike, et al.. (2016). Bacterial Histidine Kinases: Overexpression, Purification, and Inhibitor Screen. Methods in molecular biology. 1520. 247–259. 6 indexed citations

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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