C Carbon

149 papers receiving 3.5k citations

Peers

C Carbon
Comparison fields: 5 of 120
  • Molecular Medicine 782
  • Clinical Biochemistry 604
  • Applied Microbiology and Biotechnology 153
  • Pharmacology 1.2k
  • Infectious Diseases 1.4k
Replace Robert H.K. Eng with:
Robert H.K. Eng United States
LUDO VERBIST Belgium
Dwight J. Hardy United States
D. Milatović Germany
Gary E. Stein United States
R C Moellering United States
J. M. Andrews United Kingdom
Arthur L. Barry United States
L. D. Sabath United States
Kerin L. Tyrrell United States
C Carbon relative to Robert H.K. Eng United States Robert H.K. Eng's profile →
Citations per field
00.5×1.5×2.2×
Robert H.K. Eng · 1×
Citations per year

Countries citing papers authored by C Carbon

Since Specialization
Citations

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

Fields of papers citing papers by C Carbon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987214
2 1989144
3 1987113
4 1992101
5 199797
6 200096
7 200592
8 199679
9 199578
10 199167
11 199064
12 199263
13 201563
14 198755
15 200055
16 199953
17 199452
18 199752
19 199451
20 199250

About C Carbon

C Carbon is a scholar working on Pharmacology, Molecular Medicine, Infectious Diseases, Epidemiology and Clinical Biochemistry, having authored 154 papers that have together received 3.8k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (77 papers), Antibiotic Resistance in Bacteria (40 papers), Antimicrobial Resistance in Staphylococcus (40 papers), Pneumonia and Respiratory Infections (30 papers), Drug Transport and Resistance Mechanisms (28 papers), Bacterial Identification and Susceptibility Testing (22 papers), Infective Endocarditis Diagnosis and Management (15 papers) and Bacterial Infections and Vaccines (8 papers). The work is most often cited by research in Molecular Medicine (782 citations), Clinical Biochemistry (604 citations), Applied Microbiology and Biotechnology (153 citations), Pharmacology (1.2k citations) and Infectious Diseases (1.4k citations). C Carbon has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include B. Fantin, P. Yéni, Alain Contrepois, J M Vallois, Françoise Dromer, Robert Farinotti, François Caron, Sophie Dautrey, J Charreire and Véronique Joly. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Pharmacology and Experimental Therapeutics, Journal of Antimicrobial Chemotherapy, The Journal of Infectious Diseases and European Journal of Clinical Microbiology & 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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