C C Knapp

2.1k citations
49 papers · 1.7k · h-index 24

Impact in

Papers in

C C Knapp

48 papers receiving 1.7k citations

Peers

C C Knapp
Comparison fields: 5 of 81
  • Molecular Medicine 335
  • Infectious Diseases 1.1k
  • Applied Microbiology and Biotechnology 115
  • Clinical Biochemistry 329
  • Epidemiology 875
Replace J. Kroeger with:
J. Kroeger United States
Stacy L. Coffman United States
Barbara Zimmer United States
Anne Bolmström United States
Gary J. Moet United States
Eiman Mokaddas Kuwait
Élisabeth Chachaty France
Wadha Alfouzan Kuwait
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Citations per field
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Citations per year

Countries citing papers authored by C C Knapp

Since Specialization
Citations

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

Fields of papers citing papers by C C Knapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C C Knapp, 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 C Knapp Line = papers co-authored together C C Knapp 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 2008199
2 2000185
3 2011107
4 2009107
5 1999104
6 199680
7 200467
8 201258
9 198856
10 200850
11 198843
12 199140
13 201639
14 198637
15 199337
16 199634
17 199234
18 199833
19 198831
20 199430

About C C Knapp

C C Knapp is a scholar working on Infectious Diseases, Molecular Medicine, Pharmacology, Epidemiology and Clinical Biochemistry, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (21 papers), Antibiotic Resistance in Bacteria (20 papers), Antibiotics Pharmacokinetics and Efficacy (19 papers), Bacterial Identification and Susceptibility Testing (13 papers), Antifungal resistance and susceptibility (8 papers), Antibiotic Use and Resistance (5 papers), Pneumonia and Respiratory Infections (5 papers) and Fungal Infections and Studies (4 papers). The work is most often cited by research in Molecular Medicine (335 citations), Infectious Diseases (1.1k citations), Applied Microbiology and Biotechnology (115 citations), Clinical Biochemistry (329 citations) and Epidemiology (875 citations). C C Knapp has collaborated with scholars based in United States, Denmark and Switzerland. Frequent co-authors include John A. Washington, Michael A. Pfaller, Mahmoud A. Ghannoum, Steven D. Brown, John Rex, Ana Espinel‐Ingroff, Daniel J. Diekema, Vishnu Chaturvedi, S. A. Messer and S. B. Killian. Their work appears in journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy, Diagnostic Microbiology and Infectious Disease, American Journal of Clinical Pathology and Clinical Infectious Diseases.

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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