Debbie C. Thurmond
- Cell Biology top 0.2%
- Cellular transport and secretion 41
- Endoplasmic Reticulum Stress and Disease 7
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism 13
- Adipose Tissue and Metabolism 11
- Erythrocyte Function and Pathophysiology 8
- Surgery top 1%
- Pancreatic function and diabetes 71
- Molecular Biology top 2%
- Metabolism, Diabetes, and Cancer 50
- Physiology top 1%
- Calcium signaling and nucleotide metabolism 13
- Adipose Tissue and Metabolism 11
- Erythrocyte Function and Pathophysiology 8
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- Diabetes and associated disorders 14
- Co-authors
- Jeffrey E. PessinEunjin OhZhanxiang WangKarla E. MerzJeffrey S. ElmendorfMakoto KanzakiMichael A. KalwatKenneth Coker
- Cited by
- Cell BiologyPhysiologySurgery
- Journals
- Nature (2 papers)Journal of Biological Chemistry (20 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Debbie C. Thurmond
96 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cell Biology 2.1k
- Physiology 358
- Surgery 2.6k
- Molecular Biology 3.7k
- Physiology 1.3k
Countries citing papers authored by Debbie C. Thurmond
This map shows the geographic impact of Debbie C. Thurmond'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 Debbie C. Thurmond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debbie C. Thurmond more than expected).
Fields of papers citing papers by Debbie C. Thurmond
This network shows the impact of papers produced by Debbie C. Thurmond. 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 Debbie C. Thurmond. The network helps show where Debbie C. Thurmond may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Debbie C. Thurmond, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 15 | |
| 7 | 2020 | 26 | |
| 8 | Exocytosis proteins as novel targets for diabetes prevention and/or remediation? | 2017 | 0 |
| 9 | 2017 | 31 | |
| 10 | 2014 | 19 | |
| 11 | 2012 | 41 | |
| 12 | 2012 | 9 | |
| 13 | 2011 | 59 | |
| 14 | 2011 | 47 | |
| 15 | 2011 | 113 | |
| 16 | 2009 | 51 | |
| 17 | 2007 | 55 | |
| 18 | 2001 | 53 | |
| 19 | 1999 | 342 | |
| 20 | 1998 | 10 |
About Debbie C. Thurmond
Debbie C. Thurmond is a scholar working on Physiology, Cell Biology and Surgery, having authored 102 papers that have together received 5.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (71 papers), Metabolism, Diabetes, and Cancer (50 papers), Cellular transport and secretion (41 papers), Diabetes and associated disorders (14 papers), Calcium signaling and nucleotide metabolism (13 papers), Adipose Tissue and Metabolism (11 papers), Erythrocyte Function and Pathophysiology (8 papers) and Endoplasmic Reticulum Stress and Disease (7 papers). The work is most often cited by research in Cell Biology (2.1k citations), Physiology (358 citations) and Surgery (2.6k citations). Debbie C. Thurmond has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Jeffrey E. Pessin, Eunjin Oh, Zhanxiang Wang, Karla E. Merz, Jeffrey S. Elmendorf, Makoto Kanzaki, Michael A. Kalwat, Kenneth Coker, Christian A. Baumann and Alan R. Saltiel. Their work appears in journals such as Nature, Journal of Biological Chemistry 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.