Madeline Stone

417 citations
11 papers · 95 · h-index 5

Impact in

    • Antimicrobial Resistance in Staphylococcus
    • Clostridium difficile and Clostridium perfringens research
    • Tuberculosis Research and Epidemiology
    • Bacterial Identification and Susceptibility Testing

Papers in

    • Tuberculosis Research and Epidemiology 3
    • Antimicrobial Resistance in Staphylococcus 3
    • Clostridium difficile and Clostridium perfringens research 2

Madeline Stone

10 papers receiving 93 citations

Peers

Madeline Stone
Comparison fields: 5 of 39
  • Infectious Diseases 75
  • Clinical Biochemistry 20
  • Immunology 13
  • Epidemiology 18
  • Applied Microbiology and Biotechnology 1
Replace Sonia Algarate with:
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Madeline Stone relative to Sonia Algarate Spain Sonia Algarate's profile →
Citations per field
00.5×1.7×
Sonia Algarate · 1×
Citations per year

Countries citing papers authored by Madeline Stone

Since Specialization
Citations

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

Fields of papers citing papers by Madeline Stone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201023
2 200922
3 198818
4 201715
5 19887
6 20063
7 20123
8 20132
9 20251
10
Transmission of MDR-TB by a Haarlem genotype mycobacterium tuberculosis strain among native Greeks
20131
11 20240

About Madeline Stone

Madeline Stone is a scholar working on Infectious Diseases, Surgery, Molecular Biology, Epidemiology and Clinical Biochemistry, having authored 11 papers that have together received 95 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Streptococcal Infections and Treatments (2 papers), Mycobacterium research and diagnosis (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Pharmacological Effects of Natural Compounds (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Infectious Diseases (75 citations), Clinical Biochemistry (20 citations), Immunology (13 citations), Epidemiology (18 citations) and Applied Microbiology and Biotechnology (1 citation). Madeline Stone has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include Afia Zafar, Angela Kearns, Kathleen B. Bamford, M. Ganner, Erum Khan, Effrossyni Gkrania‐Klotsas, John Wain, Zahida Parveen, J E Brown and Zahra Hasan. Their work appears in journals such as Journal of Medical Microbiology, American Journal of Physiology-Lung Cellular and Molecular Physiology, Clinical Microbiology and Infection, Clinical Infectious Diseases and Journal of Public Health.

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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