Susanne Gebert

522 citations
10 papers · 375 · h-index 6

Impact in

    • Bacterial Identification and Susceptibility Testing
    • Infective Endocarditis Diagnosis and Management
    • Sepsis Diagnosis and Treatment

Papers in

    • Infective Endocarditis Diagnosis and Management 2
    • Mycobacterium research and diagnosis 1
    • Bacterial Identification and Susceptibility Testing 4

Susanne Gebert

9 papers receiving 360 citations

Peers

Susanne Gebert
Comparison fields: 5 of 57
  • Clinical Biochemistry 166
  • Epidemiology 155
  • Infectious Diseases 72
  • Molecular Medicine 20
  • Pathology and Forensic Medicine 48
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Susanne Gebert relative to Elizabeth Barker United States Elizabeth Barker's profile →
Citations per field
00.5×9.6×
Elizabeth Barker · 1×
Citations per year

Countries citing papers authored by Susanne Gebert

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Gebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Susanne Gebert, 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 Susanne Gebert Line = papers co-authored together Susanne Gebert links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2009171
2 200864
3 200948
4 200645
5 200925
6 200513
7 20065
8 20083
9
Excimer-laser (308 nm) treatment of large plaque parapsoriasis and long-term follow-up.
20061
10 20090

About Susanne Gebert

Susanne Gebert is a scholar working on Epidemiology, Clinical Biochemistry, Infectious Diseases, Pathology and Forensic Medicine and Dermatology, having authored 10 papers that have together received 375 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (4 papers), Infective Endocarditis Diagnosis and Management (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Autoimmune Bullous Skin Diseases (2 papers), Diabetes Management and Research (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Streptococcal Infections and Treatments (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Clinical Biochemistry (166 citations), Epidemiology (155 citations), Infectious Diseases (72 citations), Molecular Medicine (20 citations) and Pathology and Forensic Medicine (48 citations). Susanne Gebert has collaborated with scholars based in Germany and South Africa. Frequent co-authors include Nele Wellinghausen, Claudia Disqué, Helge Mühl, Jens Matten, Samir G. Sakka, Nicolas Hunzelmann, Michael Hertl, Elke Wenzel, Ralf Müller and Hans‐Helge Müller. Their work appears in journals such as Experimental Dermatology, Journal of Infection, Journal of Clinical Microbiology, Chemotherapy and Journal of Medical Microbiology.

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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