Robert Sauermann

52 papers receiving 1.4k citations

Peers

Robert Sauermann
Comparison fields: 5 of 120
  • Molecular Medicine 208
  • Pharmacology 419
  • Applied Microbiology and Biotechnology 43
  • Clinical Biochemistry 135
  • Microbiology 87
Replace Benjamin I. Davies with:
Benjamin I. Davies Netherlands
Paul Belliveau United States
William L. Salzer United States
Michael G. Spigarelli United States
R. Wise United Kingdom
Sumathi Nambiar United States
Lee B. Barradell
Ingrid Nilsson-Ehle Sweden
F. P. V. Maesen Netherlands
Arantxa Isla Spain
Robert Sauermann relative to Benjamin I. Davies Netherlands Benjamin I. Davies's profile →
Citations per field
00.5×2×4×6×8.6×
Benjamin I. Davies · 1×
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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018122
2 2007118
3 200695
4 200487
5 200777
6 200574
7 202157
8 200555
9 200751
10 201648
11 200844
12 201341
13 201141
14 200438
15 201935
16 200934
17 201934
18 200229
19 201327
20 200624

About Robert Sauermann

Robert Sauermann is a scholar working on Pharmacology, Infectious Diseases, Clinical Biochemistry, Economics and Econometrics and Immunology, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (14 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Pharmaceutical Economics and Policy (7 papers), Bacterial Identification and Susceptibility Testing (5 papers), Streptococcal Infections and Treatments (3 papers), Economic and Financial Impacts of Cancer (3 papers) and Orthopedic Infections and Treatments (3 papers). The work is most often cited by research in Molecular Medicine (208 citations), Pharmacology (419 citations), Applied Microbiology and Biotechnology (43 citations), Clinical Biochemistry (135 citations) and Microbiology (87 citations). Robert Sauermann has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Christian Joukhadar, Markus Alexander Zeitlinger, Claudia Christina Wagner, Wolfgang Graninger, Markus Rothenburger, Bernhard Mayer‐Helm, Markus Matthias Müller, A. Georgopoulos, Friederike Traunmüller and Martina Petsch. 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.

Explore authors with similar magnitude of impact