McKenna Nevers

30 papers receiving 243 citations

Peers

McKenna Nevers
Comparison fields: 5 of 56
  • Applied Microbiology and Biotechnology 59
  • Critical Care and Intensive Care Medicine 35
  • Family Practice 5
  • Infectious Diseases 49
  • Clinical Biochemistry 17
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Mark Downing Canada
Mercedes Palomar Martínez Spain
Athena L V Hobbs United States
Chabela Peña United States
M. Broyles United States
V. Pineda Spain
Carolina Bayona Spain
Leonard Berkowitz United States
Huai-Chun Chen United States
Amy L. Brotherton United States
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Countries citing papers authored by McKenna Nevers

Since Specialization
Citations

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

Fields of papers citing papers by McKenna Nevers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202078
2 202028
3 202319
4 202119
5 202114
6 202310
7 202110
8 202410
9 20228
10 20197
11 20196
12 20245
13 20224
14 20214
15 20224
16 20203
17 20252
18 20242
19 20252
20 20252

About McKenna Nevers

McKenna Nevers is a scholar working on Applied Microbiology and Biotechnology, Epidemiology, Critical Care and Intensive Care Medicine, Endocrinology, Diabetes and Metabolism and General Health Professions, having authored 32 papers that have together received 249 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (10 papers), Pneumonia and Respiratory Infections (4 papers), Diabetes Treatment and Management (4 papers), Nosocomial Infections in ICU (4 papers), Urinary Tract Infections Management (3 papers), Patient Satisfaction in Healthcare (2 papers), Infection Control in Healthcare (2 papers) and Primary Care and Health Outcomes (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (59 citations), Critical Care and Intensive Care Medicine (35 citations), Family Practice (5 citations), Infectious Diseases (49 citations) and Clinical Biochemistry (17 citations). McKenna Nevers has collaborated with scholars based in United States, Czechia and Australia. Frequent co-authors include Matthew H. Samore, Barbara Jones, Makoto Jones, Vanessa Stevens, Matthew Bidwell Goetz, Matthew A. Christensen, Tom Greene, Richard E. Nelson, Tao He and Jian Ying. Their work appears in journals such as Open Forum Infectious Diseases, Infection Control and Hospital Epidemiology, Clinical Infectious Diseases, JAMA Network Open and Diabetes Obesity and Metabolism.

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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