Robert Sauermann

45 papers receiving 1.1k citations

Peers

Robert Sauermann
Comparison fields: 5 of 104
  • Molecular Medicine 206
  • Pharmacology 412
  • Clinical Biochemistry 132
  • Applied Microbiology and Biotechnology 33
  • Microbiology 86
Replace Paul M. Beringer with:
Paul M. Beringer United States
Edith Lackner Austria
Robert Kulawy United States
Tongchuan Li United States
A. Georgopoulos Austria
L. O. White United Kingdom
Arantxa Isla Spain
A. P. Ball United Kingdom
Denis Beauchamp Canada
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Citations per field
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Citations per year

Countries citing papers authored by Robert Sauermann

Since Specialization
Citations

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

Fields of papers citing papers by Robert Sauermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Sauermann, 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 Robert Sauermann Line = papers co-authored together Robert Sauermann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007117
2 200689
3 200487
4 200776
5 200572
6 200555
7 200751
8 200844
9 201339
10 201137
11 200436
12 200931
13 200229
14 201325
15 200623
16 200521
17 200621
18 200520
19 200519
20 201217

About Robert Sauermann

Robert Sauermann is a scholar working on Pharmacology, Infectious Diseases, Surgery, Epidemiology and Clinical Biochemistry, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (13 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial Identification and Susceptibility Testing (5 papers), Streptococcal Infections and Treatments (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Orthopedic Infections and Treatments (3 papers), Antifungal resistance and susceptibility (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Molecular Medicine (206 citations), Pharmacology (412 citations), Clinical Biochemistry (132 citations), Applied Microbiology and Biotechnology (33 citations) and Microbiology (86 citations). Robert Sauermann has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Christian Joukhadar, Markus Zeitlinger, Cláudia Wagner, Wolfgang Graninger, Markus Rothenburger, Bernhard Mayer‐Helm, Markus Müller, Friederike Traunmüller, M. Petsch and A. Georgopoulos. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Pharmacology, Antimicrobial Agents and Chemotherapy, International Journal of Antimicrobial Agents and European Journal of Clinical Pharmacology.

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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