Christopher M. Cabello

1.2k citations
21 papers · 978 · h-index 16

Impact in

Papers in

    • Genomics, phytochemicals, and oxidative stress 6
    • Heat shock proteins research 4
    • Redox biology and oxidative stress 3
    • Skin Protection and Aging 5

Christopher M. Cabello

21 papers receiving 959 citations

Peers

Christopher M. Cabello
Comparison fields: 5 of 109
  • Endocrine and Autonomic Systems 99
  • Dermatology 117
  • Nutrition and Dietetics 154
  • Biochemistry 59
  • Toxicology 32
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Citations per field
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Citations per year

Countries citing papers authored by Christopher M. Cabello

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Cabello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Cabello. 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 Christopher M. Cabello. The network helps show where Christopher M. Cabello may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008166
2 200881
3 200481
4 201078
5 201476
6 201167
7 200962
8 200953
9 201241
10 200241
11 200437
12 201033
13 200933
14 201226
15 201425
16 201919
17 201013
18 201213
19 201012
20 201311

About Christopher M. Cabello

Christopher M. Cabello is a scholar working on Molecular Biology, Dermatology, Organic Chemistry, Toxicology and Cell Biology, having authored 21 papers that have together received 978 indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (6 papers), Skin Protection and Aging (5 papers), Heat shock proteins research (4 papers), Bioactive Compounds and Antitumor Agents (3 papers), Redox biology and oxidative stress (3 papers), Computational Drug Discovery Methods (2 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Free Radicals and Antioxidants (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (99 citations), Dermatology (117 citations), Nutrition and Dietetics (154 citations), Biochemistry (59 citations) and Toxicology (32 citations). Christopher M. Cabello has collaborated with scholars based in United States, Czechia and Japan. Frequent co-authors include Georg T. Wondrak, Sarah D. Lamore, Warner B. Bair, Alexandra S. Bause, Stephanie Ley, Shuxi Qiao, Minying Cai, Victor J. Hruby, Kôji Uchida and Sophia Park. Their work appears in journals such as Biochemical Pharmacology, Free Radical Biology and Medicine, Journal of Medicinal Chemistry, Investigational New Drugs and Current Drug 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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