C Carbon

154 papers receiving 3.4k citations

Peers

C Carbon
Comparison fields: 5 of 119
  • Molecular Medicine 789
  • Clinical Biochemistry 601
  • Applied Microbiology and Biotechnology 149
  • Pharmacology 1.3k
  • Infectious Diseases 1.3k
Replace Andrea Novelli with:
Andrea Novelli Italy
J. M. Andrews United Kingdom
Robert H.K. Eng United States
L. Verbist Belgium
R C Moellering United States
J. M. Andrews United Kingdom
S. Ragnar Norrby Sweden
Gary E. Stein United States
Laurent Gutmann France
R. N. Grüneberg United Kingdom
C Carbon relative to Andrea Novelli Italy Andrea Novelli's profile →
Citations per field
00.5×1.5×1.9×
Andrea Novelli · 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 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987214
2 1989139
3 1987111
4 1992100
5 199796
6 200093
7 200589
8 199679
9 199577
10 199167
11 199064
12 199262
13 198755
14 199953
15 200053
16 199752
17 200151
18 199450
19 199250
20 199949

About C Carbon

C Carbon is a scholar working on Pharmacology, Epidemiology, Infectious Diseases, Molecular Medicine and Oncology, having authored 161 papers that have together received 3.7k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (85 papers), Antibiotic Resistance in Bacteria (43 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 (7 papers). The work is most often cited by research in Molecular Medicine (789 citations), Clinical Biochemistry (601 citations), Applied Microbiology and Biotechnology (149 citations), Pharmacology (1.3k citations) and Infectious Diseases (1.3k citations). C Carbon has collaborated with scholars based in France, Tunisia and Switzerland. Frequent co-authors include B. Fantin, P. Yéni, A Contrepois, J M Vallois, Françoise Dromer, Robert Farinotti, Sophie Dautrey, François Caron, J Charreire and Roland Leclercq. 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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