Toby A. Dite

1.2k citations
27 papers · 853 · h-index 15

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Adipose Tissue and Metabolism
    • Metabolism, Diabetes, and Cancer
    • PI3K/AKT/mTOR signaling in cancer
    • Mitochondrial Function and Pathology

Papers in

    • Metabolism, Diabetes, and Cancer 9
    • Ubiquitin and proteasome pathways 2
    • Ion Transport and Channel Regulation 2
    • 14-3-3 protein interactions 2
    • Cell death mechanisms and regulation 2
    • Pancreatic function and diabetes 7

Toby A. Dite

21 papers receiving 853 citations

Peers

Toby A. Dite
Comparison fields: 5 of 78
  • Physiology 73
  • Molecular Biology 639
  • Epidemiology 201
  • Surgery 218
  • Cancer Research 75
Replace George Talbott with:
George Talbott United States
Christian Bindesbøll Norway
Guili Lian China
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Emilie Vander Haar United States
Lorena Esteban‐Martínez Spain
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Citations per field
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Citations per year

Countries citing papers authored by Toby A. Dite

Since Specialization
Citations

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

Fields of papers citing papers by Toby A. Dite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Toby A. Dite. 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 Toby A. Dite. The network helps show where Toby A. Dite may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014133
2 2020129
3 201897
4 201772
5 201763
6 201960
7 201550
8 201846
9 202034
10 202034
11 201527
12 202325
13 202520
14 201715
15 202415
16 202311
17 202111
18 20244
19 20184
20 20252

About Toby A. Dite

Toby A. Dite is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Cell Biology and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 853 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (9 papers), Pancreatic function and diabetes (7 papers), Ubiquitin and proteasome pathways (2 papers), Ion Transport and Channel Regulation (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), 14-3-3 protein interactions (2 papers), Cell death mechanisms and regulation (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Physiology (73 citations), Molecular Biology (639 citations), Epidemiology (201 citations), Surgery (218 citations) and Cancer Research (75 citations). Toby A. Dite has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Jonathan S. Oakhill, John W. Scott, Christopher G. Langendorf, Naomi X.Y. Ling, Bruce E. Kemp, Sandra Galić, Ashfaqul Hoque, Kevin R. W. Ngoei, Matthew T. O’Brien and Gregory R. Steinberg. Their work appears in journals such as Nature Communications, Biochemical Journal, Scientific Reports, Journal of Biological Chemistry and Science Advances.

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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