Donald S. Backos

66 papers receiving 4.2k citations

Hit Papers

Complement proteins bind to nanoparticle protein corona and undergo dynamic exchange in vivo 2016 · 455 citations
4552016202620192022100200300400

Peers

Donald S. Backos
Comparison fields: 5 of 128
  • Geriatrics and Gerontology 326
  • Cellular and Molecular Neuroscience 794
  • Molecular Biology 2.3k
  • Cell Biology 475
  • Biochemistry 204
Replace Michio Asahi with:
Michio Asahi Japan
Enrica Migliaccio Italy
Donat Kögel Germany
Stavit Drori Israel
Zixu Mao United States
Takahiro Taira Japan
Sanae M.M. Iguchi‐Ariga Japan
Mariana Pehar United States
Maria Teresa Carrı̀ Italy
Cristina Cecchi Italy
Donald S. Backos relative to Michio Asahi Japan Michio Asahi's profile →
Citations per field
00.5×2.7×
Michio Asahi · 1×
Citations per year

Countries citing papers authored by Donald S. Backos

Since Specialization
Citations

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

Fields of papers citing papers by Donald S. Backos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald S. Backos. 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 Donald S. Backos. The network helps show where Donald S. Backos may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202218
3 202213
4 20224
5 20218
6 20209
7 202020
8 202023
9 20181
10 201845
11 201725
12 2017256
13 201714
14 2016306
15 201683
16 201441
17 201363
18 20137
19 201276
20 20096

About Donald S. Backos

Donald S. Backos is a scholar working on Geriatrics and Gerontology, Toxicology, Biochemistry, Molecular Biology and Physiology, having authored 68 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Sirtuins and Resveratrol in Medicine (5 papers), Computational Drug Discovery Methods (5 papers), Adipose Tissue and Metabolism (5 papers), Melanoma and MAPK Pathways (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), CRISPR and Genetic Engineering (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Geriatrics and Gerontology (326 citations), Cellular and Molecular Neuroscience (794 citations), Molecular Biology (2.3k citations), Cell Biology (475 citations) and Biochemistry (204 citations). Donald S. Backos has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Philip Reigan, Christopher J. Matheson, José A. Esteban, Christopher C. Franklin, Steffanie L. Furtek, Nashaat Z. Gerges, Tyler C. Brown, Terrance J. Kavanagh, Collin C. White and Isaac Mohar. Their work appears in journals such as Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry, Molecular Pharmacology, Free Radical Biology and Medicine and Cell Metabolism.

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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