Uzo Chukwuma
- Infectious Diseases top 10%
- Clinical Biochemistry top 2%
- Public Health, Environmental and Occupational Health
- Molecular Medicine top 5%
- Epidemiology
- Co-authors
- Duane R. HospenthalCharlotte NeumannMichael W. EllisMichael L. LandrumClinton K. MurrayCourtney CookDeena SutterPaige Waterman
- Topics
- Bacterial Identification and Susceptibility Testing (8 papers)Antibiotic Use and Resistance (8 papers)Antibiotic Resistance in Bacteria (6 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Uzo Chukwuma
13 papers receiving 377 citations
Peers
Comparison fields: 5 of 63
- Infectious Diseases 231
- Clinical Biochemistry 160
- Public Health, Environmental and Occupational Health 117
- Molecular Medicine 82
- Epidemiology 81
Countries citing papers authored by Uzo Chukwuma
This map shows the geographic impact of Uzo Chukwuma'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 Uzo Chukwuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uzo Chukwuma more than expected).
Fields of papers citing papers by Uzo Chukwuma
This network shows the impact of papers produced by Uzo Chukwuma. 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 Uzo Chukwuma. The network helps show where Uzo Chukwuma may publish in the future.
Co-authorship network of co-authors of Uzo Chukwuma
This figure shows the co-authorship network connecting the top 25 collaborators of Uzo Chukwuma. A scholar is included among the top collaborators of Uzo Chukwuma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Uzo Chukwuma. Uzo Chukwuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | Annual Surveillance Summary: Pseudomonas aeruginosa Infections in the Military Health System (MHS), 2015 | 3 |
| 9 | 9 | |
| 10 | 102 | |
| 11 | Correlation between antimicrobial resistance in Escherichia coli infections in hospitalized patients and rates of inpatient prescriptions for selected antimicrobial agents, Department of Defense hospitals, 2010-2014. | 1 |
| 12 | 8 | |
| 13 | 12 | |
| 14 | 21 | |
| 15 | 33 | |
| 16 | 15 | |
| 17 | 173 |
About Uzo Chukwuma
Uzo Chukwuma is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 17 papers that have together received 387 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (8 papers), Antibiotic Use and Resistance (8 papers) and Antibiotic Resistance in Bacteria (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (75 citations), Clinical Biochemistry (160 citations) and Molecular Medicine (82 citations). Uzo Chukwuma has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Duane R. Hospenthal, Charlotte Neumann, Michael W. Ellis, Michael L. Landrum, Clinton K. Murray, Courtney Cook, Deena Sutter, Paige Waterman, Emil Lesho and Robert Clifford. Their work appears in journals such as JAMA, PEDIATRICS 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.