Todd E. Fox
Impact in
- Molecular Biology top 5%
- Sphingolipid Metabolism and Signaling
- Lipid Membrane Structure and Behavior
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
-
- Sphingolipid Metabolism and Signaling 55
- Lipid Membrane Structure and Behavior 23
- Protein Kinase Regulation and GTPase Signaling 8
- Immunology 22
- Immune cells in cancer 6
- Immune Response and Inflammation 6
- Co-authors
- Mark Kester (66 shared papers)Thomas P. Loughran (20 shared papers)Jong K. Yun (8 shared papers)Lindsay Ryland (2 shared papers)Xin Liu (1 shared paper)Hong‐Gang Wang (7 shared papers)Myles C. Cabot (14 shared papers)Brian M. Barth (7 shared papers)
- Journals
- Journal of Lipid Research (5 papers)Cancer Biology & Therapy (5 papers)The FASEB Journal (5 papers)Journal of Biological Chemistry (4 papers)Blood (3 papers)
- Partner nations
- United StatesSpainIndia
In The Last Decade
Todd E. Fox
81 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 2.1k
- Cell Biology 498
- Immunology 458
- Cancer Research 276
- Physiology 89
Countries citing papers authored by Todd E. Fox
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
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.
All Works
Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 236 | |
| 2 | 2011 | 174 | |
| 3 | 2007 | 161 | |
| 4 | 2010 | 143 | |
| 5 | 2017 | 135 | |
| 6 | 2018 | 128 | |
| 7 | 2010 | 126 | |
| 8 | 2018 | 107 | |
| 9 | 2008 | 91 | |
| 10 | 2006 | 89 | |
| 11 | 2009 | 85 | |
| 12 | 2018 | 82 | |
| 13 | 2010 | 68 | |
| 14 | 2015 | 63 | |
| 15 | 2011 | 59 | |
| 16 | 2011 | 49 | |
| 17 | 2013 | 49 | |
| 18 | 2012 | 48 | |
| 19 | 2008 | 47 | |
| 20 | 2017 | 46 |
About Todd E. Fox
Todd E. Fox is a scholar working on Molecular Biology, Immunology, Cell Biology, Oncology and Physiology, having authored 83 papers that have together received 3.3k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (55 papers), Lipid Membrane Structure and Behavior (23 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Cellular transport and secretion (7 papers), Acute Myeloid Leukemia Research (7 papers), Immune cells in cancer (6 papers), Immune Response and Inflammation (6 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cell Biology (498 citations), Immunology (458 citations), Cancer Research (276 citations) and Physiology (89 citations). Todd E. Fox has collaborated with scholars based in United States, Spain and India. Frequent co-authors include Mark Kester, Thomas P. Loughran, Jong K. Yun, Lindsay Ryland, Xin Liu, Hong‐Gang Wang, Myles C. Cabot, Brian M. Barth, Yasser Heakal and Gavin P. Robertson. Their work appears in journals such as Journal of Lipid Research, Cancer Biology & Therapy, The FASEB Journal, Journal of Biological Chemistry and Blood.
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.