Debra Saunders

1.8k citations
73 papers · 1.4k · h-index 23

Impact in

  • Biophysics top 5%
    • Electron Spin Resonance Studies
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Traumatic Brain Injury and Neurovascular Disturbances

Papers in

Debra Saunders

72 papers receiving 1.4k citations

Peers

Debra Saunders
Comparison fields: 5 of 106
  • Biophysics 100
  • Neurology 133
  • Genetics 165
  • Critical Care and Intensive Care Medicine 64
  • Structural Biology 19
Replace Nataliya Smith with:
Nataliya Smith United States
Emmanuel Roussakis United States
Peter Sminia Netherlands
Gene T. Yocum United States
Yongting Wang China
Amadé Bregy United States
Sabrina Doblas France
Roberto J. Diaz Canada
Juhyun Oh United States
Michael A. Pagel United States
Debra Saunders relative to Nataliya Smith United States Nataliya Smith's profile →
Citations per field
00.5×1.5×2.2×
Nataliya Smith · 1×
Citations per year

Countries citing papers authored by Debra Saunders

Since Specialization
Citations

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

Fields of papers citing papers by Debra Saunders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202089
2 201987
3 200975
4 201267
5 201149
6 201845
7 201845
8 201637
9 201234
10 202033
11 201333
12 202032
13 201531
14 202031
15 201631
16 202131
17 200927
18 201327
19 200927
20 202226

About Debra Saunders

Debra Saunders is a scholar working on Genetics, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Biomedical Engineering, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (17 papers), Cancer, Hypoxia, and Metabolism (9 papers), Electron Spin Resonance Studies (8 papers), Advanced MRI Techniques and Applications (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Microtubule and mitosis dynamics (5 papers), Urinary Bladder and Prostate Research (5 papers) and Angiogenesis and VEGF in Cancer (5 papers). The work is most often cited by research in Biophysics (100 citations), Neurology (133 citations), Genetics (165 citations), Critical Care and Intensive Care Medicine (64 citations) and Structural Biology (19 citations). Debra Saunders has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Rheal A. Towner, Nataliya Smith, Megan R. Lerner, Florea Lupu, Robert Silasi‐Mansat, Sabrina Doblas, Wei R. Chen, Benqing Zhou, Feifan Zhou and Meng Wang. Their work appears in journals such as Free Radical Biology and Medicine, PLoS ONE, GeroScience, Journal of Magnetic Resonance Imaging and Journal of Cellular and Molecular Medicine.

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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