Michelle Doll

1.9k citations
85 papers · 1.2k indexed · h-index 20

Impact in

Papers in

Michelle Doll

77 papers receiving 1.2k citations

Peers

Michelle Doll
Comparison fields: 5 of 131
  • Applied Microbiology and Biotechnology 198
  • Infectious Diseases 516
  • General Dentistry 48
  • Critical Care and Intensive Care Medicine 118
  • Molecular Medicine 97
Replace David R. Jenkins with:
David R. Jenkins United Kingdom
Katherine Ellingson United States
Melissa Ward United States
Kathryn N. Suh Canada
Michael O. Vernon United States
Jeff Powis Canada
Joost Hopman Netherlands
Amy J. Ray United States
A.P. Gibb United Kingdom
Matthew S. Simon United States
Michelle Doll relative to David R. Jenkins United Kingdom David R. Jenkins's profile →
Citations per field
00.5×1.5×
David R. Jenkins · 1×
Citations per year

Countries citing papers authored by Michelle Doll

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Doll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20240
5 202237
6 20221
7 20213
8 202112
9 20211
10 20201
11 20205
12 20209
13 202022
14 20191
15 201929
16 20175
17 201644
18 20162
19 20151
20 2008192

About Michelle Doll

Michelle Doll is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases, Critical Care and Intensive Care Medicine, General Dentistry and Clinical Biochemistry, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Infection Control in Healthcare (31 papers), Infection Control and Ventilation (19 papers), Antibiotic Use and Resistance (14 papers), Clostridium difficile and Clostridium perfringens research (14 papers), Nosocomial Infections in ICU (13 papers), Bacterial Identification and Susceptibility Testing (10 papers), Medical Device Sterilization and Disinfection (9 papers) and Healthcare cost, quality, practices (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (198 citations), Infectious Diseases (516 citations), General Dentistry (48 citations), Critical Care and Intensive Care Medicine (118 citations) and Molecular Medicine (97 citations). Michelle Doll has collaborated with scholars based in United States, Pakistan and Canada. Frequent co-authors include Gonzalo Bearman, Michael Stevens, Kaila Cooper, Emily Godbout, Nadia Masroor, Rachel Pryor, Salma Abbas, Louis H. Miller, Deepak Gaur and Subhash Singh. Their work appears in journals such as American Journal of Infection Control, Infection Control and Hospital Epidemiology, Current Infectious Disease Reports, International Journal of Infectious Diseases and Open Forum 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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