Carole D. Mitnick

9.2k citations
113 papers · 3.7k indexed · h-index 31

Carole D. Mitnick

112 papers receiving 3.5k citations

Peers

Carole D. Mitnick
Comparison fields: 5 of 138
  • Infectious Diseases 3.0k
  • Epidemiology 2.4k
  • Molecular Medicine 129
  • Surgery 1.1k
  • Health Information Management 44
Replace Jaime Bayona with:
Jaime Bayona United States
Ernesto Jaramillo Switzerland
Mercedes C. Becerra United States
Nesri Padayatchi South Africa
Neil W. Schluger United States
Jeremiah Chakaya Kenya
J. Peter Cegielski United States
Afrânio Lineu Kritski Brazil
Grant Theron South Africa
Matthew Bates United Kingdom
Carole D. Mitnick relative to Jaime Bayona United States Jaime Bayona's profile →
Citations per field
00.5×1.5×2.1×
Jaime Bayona · 1×
Citations per year

Countries citing papers authored by Carole D. Mitnick

Since Specialization
Citations

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

Fields of papers citing papers by Carole D. Mitnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carole D. Mitnick. 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 Carole D. Mitnick. The network helps show where Carole D. Mitnick may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
4 20243
5 20231
6 20226
7 20225
8 20227
9 202215
10 20201
11 201915
12 201915
13 20197
14 201874
15 20189
16 201718
17 201518
18 201224
19 20123
20 200210

About Carole D. Mitnick

Carole D. Mitnick is a scholar working on Infectious Diseases, Epidemiology and Health Informatics, having authored 113 papers that have together received 3.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (86 papers), Pneumonia and Respiratory Infections (34 papers), Pneumocystis jirovecii pneumonia detection and treatment (32 papers), Mycobacterium research and diagnosis (26 papers), Diagnosis and treatment of tuberculosis (18 papers), Infectious Diseases and Tuberculosis (10 papers), HIV/AIDS drug development and treatment (8 papers) and Cancer therapeutics and mechanisms (7 papers). The work is most often cited by research in Infectious Diseases (3.0k citations), Epidemiology (2.4k citations) and Molecular Medicine (129 citations). Carole D. Mitnick has collaborated with scholars based in United States, Peru and South Africa. Frequent co-authors include Jaime Bayona, Mercedes C. Becerra, Jennifer Furin, Megan Murray, Leonid Lecca, Sonya Shin, Molly F. Franke, Karen R. Jacobson, Guy B. Marks and Dylan B. Tierney. Their work appears in journals such as The International Journal of Tuberculosis and Lung Disease, Clinical Infectious Diseases, PLoS ONE, Bulletin of the World Health Organization and PLoS Medicine.

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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