Debra Saunders

1.8k citations
72 papers · 1.3k indexed · h-index 22

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Traumatic Brain Injury and Neurovascular Disturbances

Papers in

Debra Saunders

72 papers receiving 1.3k citations

Peers

Debra Saunders
Comparison fields: 5 of 105
  • Genetics 193
  • Neurology 132
  • Biophysics 87
  • Structural Biology 20
  • Critical Care and Intensive Care Medicine 71
Replace Nataliya Smith with:
Nataliya Smith United States
Emmanuel Roussakis United States
Peter Sminia Netherlands
Gene T. Yocum United States
Yongting Wang China
Sabrina Doblas France
Arvind P. Pathak United States
Juhyun Oh United States
Roberto J. Diaz Canada
Géza Sáfrány Hungary
Debra Saunders relative to Nataliya Smith United States Nataliya Smith's profile →
Citations per field
00.5×1.5×2.0×
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-authorship network

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
#Work
1 20225
2 202010
3 20204
4 202014
5 20199
6 201913
7 201843
8 201810
9 201633
10 201631
11 201514
12 201322
13 201322
14 201231
15 201263
16 201115
17 201013
18 200922
19 200914
20 20011

About Debra Saunders

Debra Saunders is a scholar working on Structural Biology, Genetics, Computational Mathematics, Biophysics and Urology, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (24 papers), Cancer, Hypoxia, and Metabolism (12 papers), Electron Spin Resonance Studies (8 papers), Advanced MRI Techniques and Applications (8 papers), Pelvic floor disorders treatments (7 papers), Microtubule and mitosis dynamics (6 papers), Angiogenesis and VEGF in Cancer (6 papers) and Urinary Bladder and Prostate Research (6 papers). The work is most often cited by research in Genetics (193 citations), Neurology (132 citations), Biophysics (87 citations), Structural Biology (20 citations) and Critical Care and Intensive Care Medicine (71 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, Sabrina Doblas, Robert Silasi‐Mansat, Wei R. Chen, Meng Wang, Feifan Zhou and Benqing Zhou. Their work appears in journals such as Free Radical Biology and Medicine, GeroScience, PLoS ONE, 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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