Meredith Buxton

6.6k citations
14 papers · 180 · h-index 6

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • HER2/EGFR in Cancer Research
    • PARP inhibition in cancer therapy
    • Cancer Treatment and Pharmacology

Papers in

    • Cancer Treatment and Pharmacology 3
    • PARP inhibition in cancer therapy 3
    • Breast Cancer Treatment Studies 3
    • Cancer Genomics and Diagnostics 2

Meredith Buxton

11 papers receiving 176 citations

Peers

Meredith Buxton
Comparison fields: 5 of 36
  • Cancer Research 62
  • Oncology 79
  • Hepatology 14
  • Epidemiology 48
  • Genetics 15
Replace Francesca Aroldi with:
Francesca Aroldi Italy
Chensheng W. Zhou United States
Guangyu Sun China
Simone Navarra Italy
Krystal Bergin Australia
Dilsher Dhillon United States
Akshaya Ramachandran United States
Yuxia Xu China
Toulsie Ramtohul France
M. Konopleva Russia
Meredith Buxton relative to Francesca Aroldi Italy Francesca Aroldi's profile →
Citations per field
00.5×3.8×
Francesca Aroldi · 1×
Citations per year

Countries citing papers authored by Meredith Buxton

Since Specialization
Citations

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

Fields of papers citing papers by Meredith Buxton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200455
2 201351
3 201523
4 201121
5 20207
6 20147
7 20165
8 20215
9 20152
10 20162
11 20142
12 20160
13 20240
14 20260

About Meredith Buxton

Meredith Buxton is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Genetics, having authored 14 papers that have together received 180 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (3 papers), Advanced Breast Cancer Therapies (3 papers), Breast Cancer Treatment Studies (3 papers), PARP inhibition in cancer therapy (3 papers), Cancer Genomics and Diagnostics (2 papers), Statistical Methods in Clinical Trials (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (62 citations), Oncology (79 citations), Hepatology (14 citations), Epidemiology (48 citations) and Genetics (15 citations). Meredith Buxton has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include David Vlahov, Laura J. Esserman, Richard S. Garfein, Lawrence J. Ouellet, Peter R. Kerndt, Don C. Des Jarlais, Edward V. Morse, Steffanie A. Strathdee, Donald A. Berry and Laura van ‘t Veer. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Journal of Thrombosis and Haemostasis, Breast Cancer Research and Treatment and European Journal of Cancer.

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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