Toby A. Dite
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
- ATP Synthase and ATPases Research 2
- Protein Kinase Regulation and GTPase Signaling 2
- 14-3-3 protein interactions 2
- Surgery 8
- Pancreatic function and diabetes 8
- Co-authors
- Jonathan S. Oakhill (14 shared papers)John W. Scott (11 shared papers)Naomi X.Y. Ling (9 shared papers)Christopher G. Langendorf (9 shared papers)Bruce E. Kemp (10 shared papers)Sandra Galić (6 shared papers)Ashfaqul Hoque (6 shared papers)Kevin R. W. Ngoei (5 shared papers)
- Journals
- Nature Communications (5 papers)Scientific Reports (2 papers)Science Advances (2 papers)Journal of Biological Chemistry (2 papers)Cell Death and Disease (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Toby A. Dite
21 papers receiving 809 citations
Peers
Comparison fields: 5 of 76
- Physiology 72
- Molecular Biology 643
- Epidemiology 199
- Cancer Research 86
- Surgery 236
Countries citing papers authored by Toby A. Dite
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
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.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 130 | |
| 2 | 2020 | 124 | |
| 3 | 2018 | 95 | |
| 4 | 2017 | 70 | |
| 5 | 2017 | 58 | |
| 6 | 2019 | 56 | |
| 7 | 2015 | 50 | |
| 8 | 2018 | 46 | |
| 9 | 2020 | 32 | |
| 10 | 2020 | 31 | |
| 11 | 2015 | 26 | |
| 12 | 2023 | 22 | |
| 13 | 2025 | 14 | |
| 14 | 2017 | 14 | |
| 15 | 2024 | 12 | |
| 16 | 2023 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2018 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 2 |
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 24 papers that have together received 809 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (9 papers), Pancreatic function and diabetes (8 papers), ATP Synthase and ATPases Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Diabetes Treatment and Management (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and 14-3-3 protein interactions (2 papers). The work is most often cited by research in Physiology (72 citations), Molecular Biology (643 citations), Epidemiology (199 citations), Cancer Research (86 citations) and Surgery (236 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, Naomi X.Y. Ling, Christopher G. Langendorf, 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, Scientific Reports, Science Advances, Journal of Biological Chemistry and Cell Death and Disease.
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.