Aaron M. Sargeant

1.0k citations
30 papers · 819 indexed · h-index 18
  • Toxicology top 5%
    • Bioactive Compounds and Antitumor Agents 2
    • Carcinogens and Genotoxicity Assessment 4
    • NF-κB Signaling Pathways 4
    • Genomics, phytochemicals, and oxidative stress 7
    • Histone Deacetylase Inhibitors Research 4
    • PI3K/AKT/mTOR signaling in cancer 3
    • Immunotoxicology and immune responses 3
    • Autophagy in Disease and Therapy 3

Aaron M. Sargeant

30 papers receiving 808 citations

Peers

Aaron M. Sargeant
Comparison fields: 5 of 102
  • Toxicology 44
  • Cancer Research 130
  • Molecular Biology 472
  • Immunology 104
  • Oncology 130
Replace Tomoyuki Tanaka with:
Tomoyuki Tanaka Japan
Reynald Olivier Switzerland
Isabelle Fellay Switzerland
Beverly A. Reitz United States
Kasturi Banerjee United States
Xiao-Mei Qi United States
Patricia M. Scott United States
Sutapa Sinha United States
Philip Marder United States
Jae‐Hoon Ji South Korea
Aaron M. Sargeant relative to Tomoyuki Tanaka Japan Tomoyuki Tanaka's profile →
Citations per field
00.5×3.7×
Tomoyuki Tanaka · 1×
Citations per year

Countries citing papers authored by Aaron M. Sargeant

Since Specialization
Citations

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

Fields of papers citing papers by Aaron M. Sargeant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20218
2 20206
3 20165
4 201636
5 201539
6 201413
7 201325
8 201348
9 201317
10 201218
11 201130
12 201112
13 201096
14 201022
15 200954
16 20099
17 200926
18 200851
19 200852
20 200733

About Aaron M. Sargeant

Aaron M. Sargeant is a scholar working on Cancer Research, Toxicology and Genetics, having authored 30 papers that have together received 819 indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (7 papers), Carcinogens and Genotoxicity Assessment (4 papers), Histone Deacetylase Inhibitors Research (4 papers), NF-κB Signaling Pathways (4 papers), Immunotoxicology and immune responses (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Autophagy in Disease and Therapy (3 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Toxicology (44 citations), Cancer Research (130 citations) and Molecular Biology (472 citations). Aaron M. Sargeant has collaborated with scholars based in United States, Taiwan and Belgium. Frequent co-authors include Samuel K. Kulp, Jing‐Ru Weng, Chang-Fang Chiu, Ching-Shih Chen, Li-Yuan Bai, Dasheng Wang, Ching‐Shih Chen, Steven K. Clinton, Hany A. Omar and Che‐Ming Teng. Their work appears in journals such as Cancer Research, International Journal of Molecular Sciences and Biochemical Pharmacology.

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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