Kim Nichol
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 18
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- Antibiotic Use and Resistance 5
- Endocrinology top 2%
- Clinical Biochemistry top 2%
- Bacterial Identification and Susceptibility Testing 8
- Pharmacology top 2%
- Antibiotics Pharmacokinetics and Efficacy 5
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- Pneumonia and Respiratory Infections 12
- Urinary Tract Infections Management 4
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- Antimicrobial Resistance in Staphylococcus 10
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- Bacterial Infections and Vaccines 6
- Co-authors
- George G. ZhanelDaryl J. HobanJames A. KarlowskyAleksandra WierzbowskiAyman NoreddinMichael R. MulveyMegan MenardMichael A. Kuskowski
- Journals
- Clinical Infectious Diseases (1 paper)Journal of Clinical Microbiology (1 paper)Antimicrobial Agents and Chemotherapy (6 papers)
- Partner nations
- CanadaUnited StatesKenya
In The Last Decade
Kim Nichol
31 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Molecular Medicine 756
- Applied Microbiology and Biotechnology 179
- Endocrinology 298
- Clinical Biochemistry 207
- Pharmacology 375
Countries citing papers authored by Kim Nichol
This map shows the geographic impact of Kim Nichol'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 Kim Nichol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Nichol more than expected).
Fields of papers citing papers by Kim Nichol
This network shows the impact of papers produced by Kim Nichol. 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 Kim Nichol. The network helps show where Kim Nichol may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kim Nichol, 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 | 2020 | 23 | |
| 2 | 2018 | 20 | |
| 3 | 2015 | 68 | |
| 4 | 2014 | 9 | |
| 5 | 2014 | 7 | |
| 6 | 2012 | 6 | |
| 7 | 2009 | 231 | |
| 8 | 2009 | 2 | |
| 9 | 2009 | 16 | |
| 10 | 2009 | 31 | |
| 11 | Activity of Telavancin Against Gram-Positive Cocci Isolated from Canadian Hospitals: CANWARD 2007 | 2008 | 1 |
| 12 | 2008 | 51 | |
| 13 | 2008 | 25 | |
| 14 | 2007 | 9 | |
| 15 | 2006 | 23 | |
| 16 | 2006 | 19 | |
| 17 | 2005 | 173 | |
| 18 | 2004 | 224 | |
| 19 | 2003 | 21 | |
| 20 | 2003 | 39 |
About Kim Nichol
Kim Nichol is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (18 papers), Pneumonia and Respiratory Infections (12 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Bacterial Identification and Susceptibility Testing (8 papers), Bacterial Infections and Vaccines (6 papers), Antibiotic Use and Resistance (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Urinary Tract Infections Management (4 papers). The work is most often cited by research in Molecular Medicine (756 citations), Applied Microbiology and Biotechnology (179 citations) and Endocrinology (298 citations). Kim Nichol has collaborated with scholars based in Canada, United States and Kenya. Frequent co-authors include George G. Zhanel, Daryl J. Hoban, James A. Karlowsky, Aleksandra Wierzbowski, Ayman Noreddin, Michael R. Mulvey, Megan Menard, Michael A. Kuskowski, Brian Johnston and James R. Johnson. Their work appears in journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.
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.