Rachel M. Smith

3.5k citations
44 papers · 2.2k indexed · 1 hit paper · h-index 15

Rachel M. Smith

39 papers receiving 2.2k citations

Hit Papers

Global burden of disease of HIV-associated cryptococcal m...1.3k20172026202020234008001.2k

Peers

Rachel M. Smith
Comparison fields: 5 of 105
  • Applied Microbiology and Biotechnology 202
  • Infectious Diseases 1.6k
  • Epidemiology 1.8k
  • Molecular Medicine 137
  • Microbiology 131
Replace Bansidhar Tarai with:
Bansidhar Tarai India
Joveria Farooqi Pakistan
Christopher D. Pfeiffer United States
Alireza Abdolrasouli United Kingdom
Anna Skiada Greece
Angela A. Cleveland United States
Andrej Spec United States
Aspasia Katragkou Greece
Jeffrey D. Jenks United States
Simone Aranha Nouér Brazil
Rachel M. Smith relative to Bansidhar Tarai India Bansidhar Tarai's profile →
Citations per field
00.5×1.5×2.2×
Bansidhar Tarai · 1×
Citations per year

Countries citing papers authored by Rachel M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Rachel M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel M. Smith. 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 Rachel M. Smith. The network helps show where Rachel M. Smith may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20238
5 20236
6 202311
7 202311
8 20238
9 20235
10 20237
11 202218
12 202114
13 2021113
14 20203
15 20200
16 201613
17 201628
18 201432
19 201342
20 201374

About Rachel M. Smith

Rachel M. Smith is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Infectious Diseases, having authored 44 papers that have together received 2.2k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (19 papers), Antibiotic Resistance in Bacteria (15 papers), Fungal Infections and Studies (12 papers), Antifungal resistance and susceptibility (11 papers), Nail Diseases and Treatments (7 papers), Bacterial Identification and Susceptibility Testing (7 papers), Nosocomial Infections in ICU (5 papers) and Neonatal and Maternal Infections (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (202 citations), Infectious Diseases (1.6k citations) and Epidemiology (1.8k citations). Rachel M. Smith has collaborated with scholars based in United States, Botswana and India. Frequent co-authors include Benjamin J. Park, Tom Chiller, Nelesh P. Govender, David W. Denning, Angela Loyse, Joseph N Jarvis, Radha Rajasingham, David R. Boulware, Snigdha Vallabhaneni and Monica M. Farley. Their work appears in journals such as New England Journal of Medicine, PLoS ONE 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.

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