Barbara Auclair

423 citations
11 papers · 296 indexed · h-index 8

Impact in

  • Urology top 5%
    • Urinary Bladder and Prostate Research
    • Tuberculosis Research and Epidemiology
    • HIV/AIDS drug development and treatment

Papers in

Barbara Auclair

11 papers receiving 288 citations

Peers

Barbara Auclair
Comparison fields: 5 of 83
  • Urology 63
  • Infectious Diseases 116
  • Molecular Medicine 18
  • Epidemiology 122
  • Pharmacology 56
Replace Mary L. Petruska with:
Mary L. Petruska United States
James Song United States
Masamichi Komiya Japan
H. A. Hirsch Germany
M. Cesana Italy
Rafael Ferriols‐Lisart Spain
Rudolf Schwabe Germany
James A. McDowell United States
Åke Cederberg Sweden
M. Kinzig‐Schippers Germany
Barbara Auclair relative to Mary L. Petruska United States Mary L. Petruska's profile →
Citations per field
00.5×10×16×
Mary L. Petruska · 1×
Citations per year

Countries citing papers authored by Barbara Auclair

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Auclair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Barbara Auclair, 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 Barbara Auclair Line = papers co-authored together Barbara Auclair links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 199785
2
Pharmacokinetics of ethambutol in children and adults with tuberculosis.
200462
3 200460
4 200139
5 199913
6 19999
7 19989
8 20009
9 19986
10 20023
11
Novel population pharmacokinetic modeling of transdermal nitroglycerin
19971

About Barbara Auclair

Barbara Auclair is a scholar working on Epidemiology, Pharmacology, Infectious Diseases, Analytical Chemistry and Molecular Biology, having authored 11 papers that have together received 296 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (4 papers), Analytical Methods in Pharmaceuticals (3 papers), Tuberculosis Research and Epidemiology (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Advancements in Transdermal Drug Delivery (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Receptor Mechanisms and Signaling (2 papers) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Urology (63 citations), Infectious Diseases (116 citations), Molecular Medicine (18 citations), Epidemiology (122 citations) and Pharmacology (56 citations). Barbara Auclair has collaborated with scholars based in United States, Canada and Pakistan. Frequent co-authors include Charles A. Peloquin, David E. Nix, Rodney D. Adam, Thomas R. Einarson, Murray P. Ducharme, Gordon T. James, Shaun E. Berning, Jeffrey R. Starke, Min Zhu and W. J. Burman. Their work appears in journals such as Pharmaceutical Research, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy, Antimicrobial Agents and Chemotherapy, Urology and Tuberculosis.

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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