Geoff H. Werstuck
- Cell Biology top 1%
- Endoplasmic Reticulum Stress and Disease 27
- Rheumatology top 1%
- Folate and B Vitamins Research 6
- Epidemiology top 2%
- Adipokines, Inflammation, and Metabolic Diseases 9
- Autophagy in Disease and Therapy 9
- Biochemistry top 2%
- Clinical Biochemistry top 2%
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- Atherosclerosis and Cardiovascular Diseases 13
- Galectins and Cancer Biology 6
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- Pancreatic function and diabetes 12
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- Wnt/β-catenin signaling in development and cancer 7
- Co-authors
- Richard C. AustinSteven R. LentzYuanyuan ShiMohammad I. KhanSudesh K. SoodGazi S. HossainMonica De PaoliDaniel R. Beriault
- Cited by
- Cell BiologyRheumatologyEpidemiology
- Journals
- Journal of Biological Chemistry (4 papers)Circulation (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- CanadaUnited StatesDenmark
In The Last Decade
Geoff H. Werstuck
79 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cell Biology 1.1k
- Rheumatology 751
- Epidemiology 1.0k
- Biochemistry 210
- Clinical Biochemistry 190
Countries citing papers authored by Geoff H. Werstuck
This map shows the geographic impact of Geoff H. Werstuck'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 Geoff H. Werstuck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoff H. Werstuck more than expected).
Fields of papers citing papers by Geoff H. Werstuck
This network shows the impact of papers produced by Geoff H. Werstuck. 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 Geoff H. Werstuck. The network helps show where Geoff H. Werstuck may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Geoff H. Werstuck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 50 | |
| 11 | The Role of Estrogen in Insulin Resistancebreakdown → | 2021 | 154 |
| 12 | 2021 | 24 | |
| 13 | 2021 | 13 | |
| 14 | 2018 | 25 | |
| 15 | 2018 | 18 | |
| 16 | 2017 | 32 | |
| 17 | Metabolomics-Based Biomarkers of the Pathogenesis of Atherosclerosis | 2016 | 2 |
| 18 | 2008 | 81 | |
| 19 | 2008 | 11 | |
| 20 | 2007 | 157 |
About Geoff H. Werstuck
Geoff H. Werstuck is a scholar working on Cell Biology, Immunology and Epidemiology, having authored 81 papers that have together received 3.9k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (27 papers), Atherosclerosis and Cardiovascular Diseases (13 papers), Pancreatic function and diabetes (12 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Autophagy in Disease and Therapy (9 papers), Wnt/β-catenin signaling in development and cancer (7 papers), Folate and B Vitamins Research (6 papers) and Galectins and Cancer Biology (6 papers). The work is most often cited by research in Cell Biology (1.1k citations), Rheumatology (751 citations) and Epidemiology (1.0k citations). Geoff H. Werstuck has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include Richard C. Austin, Steven R. Lentz, Yuanyuan Shi, Mohammad I. Khan, Sudesh K. Sood, Gazi S. Hossain, Monica De Paoli, Daniel R. Beriault, Yuanyuan Shi and Cameron S. McAlpine. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.