C. D. Logsdon
Impact in
- Surgery top 10%
- Pancreatitis Pathology and Treatment
- Pancreatic function and diabetes
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- Pancreatic and Hepatic Oncology Research
Papers in
- Surgery 7
- Pancreatic function and diabetes 5
- Pancreatitis Pathology and Treatment 2
-
- Receptor Mechanisms and Signaling 2
- Metabolism, Diabetes, and Cancer 1
- TGF-β signaling in diseases 1
- Co-authors
- Terrence Grady (2 shared papers)John A. Williams (6 shared papers)Ping Liang (1 shared paper)Katharina Detjen (1 shared paper)Robert C. Nichols (1 shared paper)Philip Andrews (1 shared paper)Matthew J. Wishart (1 shared paper)David I. Yule (1 shared paper)
- Journals
- American Journal of Physiology-Gastrointestinal and Liver Physiology (5 papers)Gastroenterology (3 papers)Molecular Pharmacology (1 paper)Physiology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
C. D. Logsdon
12 papers receiving 488 citations
Peers
Comparison fields: 5 of 61
- Surgery 320
- Oncology 151
- Cellular and Molecular Neuroscience 89
- Endocrinology, Diabetes and Metabolism 67
- Physiology 18
Countries citing papers authored by C. D. Logsdon
This map shows the geographic impact of C. D. Logsdon'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 C. D. Logsdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. D. Logsdon more than expected).
Fields of papers citing papers by C. D. Logsdon
This network shows the impact of papers produced by C. D. Logsdon. 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 C. D. Logsdon. The network helps show where C. D. Logsdon may publish in the future.
Co-authors
The 25 scholars most cited alongside C. D. Logsdon, 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 | 1997 | 181 | |
| 2 | 1993 | 61 | |
| 3 | 1997 | 43 | |
| 4 | 1995 | 37 | |
| 5 | 1988 | 35 | |
| 6 | 1983 | 35 | |
| 7 | 1997 | 30 | |
| 8 | 1989 | 27 | |
| 9 | 1986 | 21 | |
| 10 | Transforming growth factor-β (TGF-β1) inhibits pancreatic acinar cell growth | 1992 | 17 |
| 11 | 1981 | 10 | |
| 12 | 1997 | 4 |
About C. D. Logsdon
C. D. Logsdon is a scholar working on Surgery, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Epidemiology, having authored 12 papers that have together received 501 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Neuropeptides and Animal Physiology (5 papers), Pancreatitis Pathology and Treatment (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Receptor Mechanisms and Signaling (2 papers), Metabolism, Diabetes, and Cancer (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Surgery (320 citations), Oncology (151 citations), Cellular and Molecular Neuroscience (89 citations), Endocrinology, Diabetes and Metabolism (67 citations) and Physiology (18 citations). C. D. Logsdon has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Terrence Grady, John A. Williams, Ping Liang, Katharina Detjen, Robert C. Nichols, Philip Andrews, Matthew J. Wishart, David I. Yule, Jun Yang and R. Daniel Beauchamp. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Gastroenterology, Molecular Pharmacology, Physiology and Journal of Biological Chemistry.
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.