C. Schröder

1.5k citations
49 papers · 853 · h-index 16

Impact in

Papers in

C. Schröder

42 papers receiving 823 citations

Peers

C. Schröder
Comparison fields: 5 of 120
  • Applied Microbiology and Biotechnology 197
  • Molecular Medicine 160
  • Clinical Biochemistry 160
  • Critical Care and Intensive Care Medicine 82
  • Infectious Diseases 258
Replace Eun‐Jeong Joo with:
Eun‐Jeong Joo South Korea
Kavita K. Trivedi United States
Angela Huang United States
Ann Macintyre United States
Mukesh Patel United States
Mary Murphy United States
Lucelly López Colombia
Kellie J. Goodlet United States
Eleni Antoniadou Greece
Jacoby Patterson United Kingdom
C. Schröder relative to Eun‐Jeong Joo South Korea Eun‐Jeong Joo's profile →
Citations per field
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Eun‐Jeong Joo · 1×
Citations per year

Countries citing papers authored by C. Schröder

Since Specialization
Citations

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

Fields of papers citing papers by C. Schröder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201897
2 201492
3 200976
4 201967
5 201562
6 201445
7 200840
8 201432
9 201432
10 201831
11 201628
12 200927
13 201926
14 200818
15 201816
16 202115
17 202014
18 202013
19 201912
20 201512

About C. Schröder

C. Schröder is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, Epidemiology, Critical Care and Intensive Care Medicine and General Health Professions, having authored 49 papers that have together received 853 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (10 papers), Nosocomial Infections in ICU (8 papers), Infection Control in Healthcare (8 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Surgical site infection prevention (5 papers), Urinary Tract Infections Management (5 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Bacterial Identification and Susceptibility Testing (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (197 citations), Molecular Medicine (160 citations), Clinical Biochemistry (160 citations), Critical Care and Intensive Care Medicine (82 citations) and Infectious Diseases (258 citations). C. Schröder has collaborated with scholars based in Germany, Morocco and France. Frequent co-authors include Petra Gastmeier, Christine Geffers, Michael Behnke, Seven Johannes Sam Aghdassi, Tobias Siegfried Kramer, Elisabeth Meyer, Cornelius Remschmidt, Frank Schwab, Friederike Maechler and Sonja A. Kotz. Their work appears in journals such as Antimicrobial Resistance and Infection Control, Journal of Hospital Infection, BMC Infectious Diseases, Demographic Research and PLoS ONE.

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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