Nataliya Smith

2.0k citations
80 papers · 1.5k · h-index 23

Impact in

  • Biophysics top 5%
    • Electron Spin Resonance Studies
  • Genetics top 5%
    • Glioma Diagnosis and Treatment

Papers in

Nataliya Smith

77 papers receiving 1.5k citations

Peers

Nataliya Smith
Comparison fields: 5 of 109
  • Biophysics 105
  • Genetics 175
  • Neurology 130
  • Urology 84
  • Structural Biology 21
Replace Debra Saunders with:
Debra Saunders United States
Michelle L. James United States
Juhyun Oh United States
Diane E. Capen United States
Lian‐Wang Guo United States
Peter Sminia Netherlands
Ji-Hyun Lee South Korea
Gene T. Yocum United States
Yurika Saitoh Japan
Alessandro Corbelli Italy
Nataliya Smith relative to Debra Saunders United States Debra Saunders's profile →
Citations per field
00.5×1.5×
Debra Saunders · 1×
Citations per year

Countries citing papers authored by Nataliya Smith

Since Specialization
Citations

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

Fields of papers citing papers by Nataliya Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015120
2 202089
3 201982
4 199471
5 201068
6 201263
7 200952
8 201148
9 201845
10 200844
11 201843
12 201336
13 202032
14 201631
15 202131
16 201230
17 201330
18 202226
19 200925
20 201324

About Nataliya Smith

Nataliya Smith is a scholar working on Genetics, Molecular Biology, Cancer Research, Biomedical Engineering and Urology, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (19 papers), Cancer, Hypoxia, and Metabolism (11 papers), Electron Spin Resonance Studies (8 papers), Urinary Bladder and Prostate Research (6 papers), Microtubule and mitosis dynamics (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Advanced Electron Microscopy Techniques and Applications (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Biophysics (105 citations), Genetics (175 citations), Neurology (130 citations), Urology (84 citations) and Structural Biology (21 citations). Nataliya Smith has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Rheal A. Towner, Debra Saunders, Megan R. Lerner, Florea Lupu, Sabrina Doblas, Robert Silasi‐Mansat, Wei R. Chen, Meng Wang, Benqing Zhou and Feifan Zhou. Their work appears in journals such as Free Radical Biology and Medicine, Journal of Cellular and Molecular Medicine, GeroScience, PLoS ONE and Journal of Magnetic Resonance Imaging.

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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