Claas Baier

31 papers receiving 400 citations

Peers

Claas Baier
Comparison fields: 5 of 85
  • Emergency Medical Services 50
  • Applied Microbiology and Biotechnology 13
  • Molecular Medicine 33
  • Otorhinolaryngology 22
  • Critical Care and Intensive Care Medicine 18
Replace J. D. García-Palomo with:
J. D. García-Palomo Spain
Sevliya Öcal Demi̇r Türkiye
Sonal Saxena India
Rogier P. Schade Netherlands
C.H. Webb United Kingdom
Joseph L. Petfield United States
Maria Carrillo-Marquez United States
Edward E. Horvath United States
Waleed Javaid United States
Ezilmara Leonor Rolim de Sousa Brazil
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Citations per field
00.5×
J. D. García-Palomo · 1×
Citations per year

Countries citing papers authored by Claas Baier

Since Specialization
Citations

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

Fields of papers citing papers by Claas Baier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200989
2 202070
3 201922
4 201922
5 200921
6 202118
7 202017
8 202214
9 201813
10 201711
11 202210
12 202010
13 20219
14 20198
15 20217
16 20206
17 20236
18 20186
19 20226
20 20226

About Claas Baier

Claas Baier is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Surgery and Public Health, Environmental and Occupational Health, having authored 36 papers that have together received 406 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Neonatal and Maternal Infections (4 papers), Respiratory viral infections research (4 papers), Infection Control in Healthcare (4 papers), Nosocomial Infections in ICU (3 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Emergency Medical Services (50 citations), Applied Microbiology and Biotechnology (13 citations), Molecular Medicine (33 citations), Otorhinolaryngology (22 citations) and Critical Care and Intensive Care Medicine (18 citations). Claas Baier has collaborated with scholars based in Germany, United Kingdom and Slovakia. Frequent co-authors include Ella Ebadi, Ralf‐Peter Vonberg, Frank Schwab, Iris F. Chaberny, Bodo Heimann, Martin Leinung, Omid Majdani, Tobias Ortmaier, Franz‐Christoph Bange and Matthias Eder. Their work appears in journals such as Antimicrobial Resistance and Infection Control, PLoS ONE, Journal of Hospital Infection, American Journal of Infection Control and Emerging Microbes & Infections.

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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