Todd E. Fox

4.2k citations
87 papers · 3.6k · h-index 36

Impact in

    • Sphingolipid Metabolism and Signaling
    • Extracellular vesicles in disease
    • Metabolomics and Mass Spectrometry Studies
    • Nanoparticle-Based Drug Delivery

Papers in

    • Sphingolipid Metabolism and Signaling 51
    • Cell death mechanisms and regulation 3
    • PI3K/AKT/mTOR signaling in cancer 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Lipid Membrane Structure and Behavior 2
    • Nanoparticle-Based Drug Delivery 8

Todd E. Fox

86 papers receiving 3.5k citations

Peers

Todd E. Fox
Comparison fields: 5 of 100
  • Molecular Biology 2k
  • Biomaterials 231
  • Drug Discovery 4
  • Cancer Research 184
  • Immunology 244
Replace Luyuan Li with:
Luyuan Li China
Mayumi Fujita United States
Pengcheng Zhu China
Vasu Punj United States
Houjian Cai United States
Qi Qiao China
Venkateshwar G. Keshamouni United States
Maria Teresa Scupoli Italy
Lisheng Wang China
Younghee Lee South Korea
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Citations per field
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Luyuan Li · 1×
Citations per year

Countries citing papers authored by Todd E. Fox

Since Specialization
Citations

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

Fields of papers citing papers by Todd E. Fox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd E. Fox. 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 Todd E. Fox. The network helps show where Todd E. Fox may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008238
2 2011177
3 2007164
4 2010148
5 2017139
6 2018134
7 2010126
8 2018108
9 200691
10 200891
11 200987
12 201885
13 201682
14 201070
15 201568
16 201159
17 201352
18 201151
19 200848
20 201248

About Todd E. Fox

Todd E. Fox is a scholar working on Molecular Biology, Biomaterials, Immunology, Hematology and Cell Biology, having authored 87 papers that have together received 3.6k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (51 papers), Nanoparticle-Based Drug Delivery (8 papers), Acute Myeloid Leukemia Research (6 papers), Cell death mechanisms and regulation (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Immune Response and Inflammation (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Molecular Biology (2k citations), Biomaterials (231 citations), Drug Discovery (4 citations), Cancer Research (184 citations) and Immunology (244 citations). Todd E. Fox has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include MARK A. KESTER, Thomas P. Loughran, Jong K. Yun, Lindsay K. Ryland, Hong-Gang Wang, Xin Liu, Myles C. Cabot, Brian M. Barth, Yasser Heakal and Gavin P. Robertson. Their work appears in journals such as Journal of Lipid Research, The FASEB Journal, Cancer Biology & Therapy, Blood and Journal of Biological Chemistry.

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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