Stacey Bartlett

448 citations
15 papers · 294 · h-index 12

Impact in

Papers in

Stacey Bartlett

15 papers receiving 288 citations

Peers

Stacey Bartlett
Comparison fields: 5 of 60
  • Microbiology 44
  • Immunology 105
  • Parasitology 29
  • Infectious Diseases 81
  • Pharmaceutical Science 15
Replace Toshiki Sekiya with:
Toshiki Sekiya Japan
Leanne Marsay United Kingdom
H. Remy Bailor United States
Elyse A. Beebe United States
Ruchi R. Shah United States
John D. Laurance United States
Laëtitia Breuilh France
Christopher Penn United States
Deborah King United Kingdom
Swati Bhowmick India
Stacey Bartlett relative to Toshiki Sekiya Japan Toshiki Sekiya's profile →
Citations per field
00.5×3.4×
Toshiki Sekiya · 1×
Citations per year

Countries citing papers authored by Stacey Bartlett

Since Specialization
Citations

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

Fields of papers citing papers by Stacey Bartlett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201939
2 201839
3 202130
4 201929
5 202027
6 201624
7 202217
8 202016
9 202214
10 202313
11 202113
12 201812
13 201711
14 20129
15 20241

About Stacey Bartlett

Stacey Bartlett is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Epidemiology and Microbiology, having authored 15 papers that have together received 294 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Streptococcal Infections and Treatments (3 papers), Immunotherapy and Immune Responses (3 papers), RNA Interference and Gene Delivery (3 papers), Antimicrobial Peptides and Activities (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Parasite Biology and Host Interactions (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). The work is most often cited by research in Microbiology (44 citations), Immunology (105 citations), Parasitology (29 citations), Infectious Diseases (81 citations) and Pharmaceutical Science (15 citations). Stacey Bartlett has collaborated with scholars based in Australia, Thailand and United States. Frequent co-authors include Mariusz Skwarczyński, István Tóth, Katharina Ronacher, Reshma J. Nevagi, Waleed M. Hussein, Alex Loukas, Ramon M. Eichenberger, Zeinab G. Khalil, Robert J. Capon and Khairunnisa Abdul Ghaffar. Their work appears in journals such as ACS Medicinal Chemistry Letters, The Journal of Infectious Diseases, Frontiers in Cellular and Infection Microbiology, Cells and mBio.

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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