JA Stone

722 citations
12 papers · 583 · h-index 9

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • Antifungal resistance and susceptibility 2
    • HIV/AIDS drug development and treatment 2
    • Antibiotics Pharmacokinetics and Efficacy 3

JA Stone

12 papers receiving 553 citations

Peers

JA Stone
Comparison fields: 5 of 72
  • Virology 103
  • Infectious Diseases 229
  • Molecular Medicine 41
  • Oncology 187
  • Pharmacology 89
Replace Ilaria Motta with:
Ilaria Motta Italy
Odin Naderer United States
Marcia Browne United States
PaulS. Lietman United States
Hawazin Faruki United States
Rosa F. Yeh United States
Annie Fang United States
Tomoko Uehira Japan
Becky Chandler United Kingdom
Sheri L. Crampton United States
JA Stone relative to Ilaria Motta Italy Ilaria Motta's profile →
Citations per field
00.5×2×3.1×
Ilaria Motta · 1×
Citations per year

Countries citing papers authored by JA Stone

Since Specialization
Citations

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

Fields of papers citing papers by JA Stone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2007139
2 2016125
3 200981
4 201668
5 198855
6 198935
7 198626
8
Drug interactions between caspofungin and tacrolimus
200119
9 198618
10 19898
11 19907
12 19882

About JA Stone

JA Stone is a scholar working on Infectious Diseases, Pharmacology, Epidemiology, Oncology and Clinical Biochemistry, having authored 12 papers that have together received 583 indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Antifungal resistance and susceptibility (2 papers), Pneumonia and Respiratory Infections (2 papers), HIV/AIDS drug development and treatment (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Virology (103 citations), Infectious Diseases (229 citations), Molecular Medicine (41 citations), Oncology (187 citations) and Pharmacology (89 citations). JA Stone has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include J. M. Andrews, Tomoko Freshwater, Rik de Greef, Jeroen Elassaiss‐Schaap, Malidi Ahamadi, JA Wagner, Marian Iwamoto, Chang Li, Anna Kondic and Marita Prohn. Their work appears in journals such as Clinical Pharmacology & Therapeutics, CPT Pharmacometrics & Systems Pharmacology, European Journal of Clinical Microbiology & Infectious Diseases, Antimicrobial Agents and Chemotherapy and Journal of Clinical Pathology.

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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