Koné Kaniga
Impact in
- Endocrinology top 0.2%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Antibiotic Resistance in Bacteria 14
- Co-authors
- Isabelle DelorGuy R. CornelisJorge E. GalánDavid TrollingerLi-Mei ChenJ E GalánStephanie C. TuckerYigong Ge
- Journals
- Antimicrobial Agents and Chemotherapy (11 papers)Molecular Microbiology (4 papers)Journal of Clinical Microbiology (3 papers)International Journal of Antimicrobial Agents (3 papers)Gene (2 papers)
- Partner nations
- United StatesBelgiumSouth Africa
In The Last Decade
Koné Kaniga
44 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Endocrinology 1.1k
- Molecular Medicine 873
- Applied Microbiology and Biotechnology 261
- Infectious Diseases 1.3k
- Clinical Biochemistry 406
Countries citing papers authored by Koné Kaniga
This map shows the geographic impact of Koné Kaniga'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 Koné Kaniga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koné Kaniga more than expected).
Fields of papers citing papers by Koné Kaniga
This network shows the impact of papers produced by Koné Kaniga. 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 Koné Kaniga. The network helps show where Koné Kaniga may publish in the future.
Co-authors
The 25 scholars most cited alongside Koné Kaniga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 22 | |
| 2 | 2022 | 8 | |
| 3 | 2020 | 8 | |
| 4 | 2018 | 74 | |
| 5 | 2016 | 17 | |
| 6 | 2016 | 35 | |
| 7 | 2013 | 5 | |
| 8 | 2012 | 14 | |
| 9 | 2008 | 79 | |
| 10 | 2008 | 36 | |
| 11 | 2008 | 85 | |
| 12 | 2008 | 183 | |
| 13 | 2007 | 112 | |
| 14 | 2005 | 32 | |
| 15 | 1996 | 206 | |
| 16 | 1996 | 328 | |
| 17 | 1994 | 257 | |
| 18 | 1992 | 16 | |
| 19 | A wide-host-range suicide vector for improving reverse genetics in Gram-negative bacteria: inactivation of the blaA gene of Yersinia enterocolitica Hit paper breakdown → | 1991 | 625 |
| 20 | 1991 | 11 |
About Koné Kaniga
Koné Kaniga is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Pharmacology, Endocrinology and Infectious Diseases, having authored 46 papers that have together received 4.2k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (19 papers), Antibiotic Resistance in Bacteria (14 papers), Pneumonia and Respiratory Infections (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Tuberculosis Research and Epidemiology (8 papers), Salmonella and Campylobacter epidemiology (7 papers), Vibrio bacteria research studies (6 papers) and Mycobacterium research and diagnosis (6 papers). The work is most often cited by research in Endocrinology (1.1k citations), Molecular Medicine (873 citations), Applied Microbiology and Biotechnology (261 citations), Infectious Diseases (1.3k citations) and Clinical Biochemistry (406 citations). Koné Kaniga has collaborated with scholars based in United States, Belgium and South Africa. Frequent co-authors include Isabelle Delor, Guy R. Cornelis, Jorge E. Galán, David Trollinger, Jorge E. Galán, Li-Mei Chen, J E Galán, Stephanie C. Tucker, Yigong Ge and Ian R. Friedland. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Molecular Microbiology, Journal of Clinical Microbiology, International Journal of Antimicrobial Agents and Gene.
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.