Sandy Eldridge

513 citations
16 papers · 286 · h-index 10

Impact in

Papers in

    • Pluripotent Stem Cells Research 5
    • Cancer Treatment and Pharmacology 3
    • HER2/EGFR in Cancer Research 2

Sandy Eldridge

14 papers receiving 282 citations

Peers

Sandy Eldridge
Comparison fields: 5 of 73
  • Oncology 90
  • Cardiology and Cardiovascular Medicine 70
  • Cellular and Molecular Neuroscience 48
  • Small Animals 13
  • Biophysics 10
Replace Yayoi Honda with:
Yayoi Honda Japan
Javad Masoumi Iran
Dimitri Marsal France
Makoto Ichii Japan
Carita Lannér Canada
Justyna Mleczko Spain
Noriyo Hayakawa Japan
Amber Jean Tietgens United States
Adrienn Kis Hungary
Xiaoxue Fan China
Sandy Eldridge relative to Yayoi Honda Japan Yayoi Honda's profile →
Citations per field
00.5×2×2.6×
Yayoi Honda · 1×
Citations per year

Countries citing papers authored by Sandy Eldridge

Since Specialization
Citations

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

Fields of papers citing papers by Sandy Eldridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201960
2 201939
3 201439
4 201630
5 201528
6 201419
7 201917
8 201511
9 201811
10 201311
11 20199
12 20146
13 20215
14 20241
15 20250
16 20250

About Sandy Eldridge

Sandy Eldridge is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Hematology, having authored 16 papers that have together received 286 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Neuroscience and Neural Engineering (4 papers), Cancer Treatment and Pharmacology (3 papers), Multiple Myeloma Research and Treatments (3 papers), 3D Printing in Biomedical Research (3 papers), HER2/EGFR in Cancer Research (2 papers) and Chemotherapy-related skin toxicity (2 papers). The work is most often cited by research in Oncology (90 citations), Cardiology and Cardiovascular Medicine (70 citations), Cellular and Molecular Neuroscience (48 citations), Small Animals (13 citations) and Biophysics (10 citations). Sandy Eldridge has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Liang Guo, Myrtle A. Davis, Eugene H. Herman, C. Michael Foley, John Koerner, Brian R. Berridge, Calvert Louden, Yasunari Kanda, Khuram W. Chaudhary and Alexandre J. S. Ribeiro. Their work appears in journals such as Frontiers in Pharmacology, Toxicology and Applied Pharmacology, Toxicological Sciences, Toxicologic Pathology and Toxics.

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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