C. D. Logsdon

591 citations
12 papers · 500 · h-index 11

Impact in

Papers in

    • Receptor Mechanisms and Signaling 2
    • Glycosylation and Glycoproteins Research 1
    • Ion Transport and Channel Regulation 1
    • Heat shock proteins research 1
    • Enzyme Catalysis and Immobilization 1
    • Pancreatic function and diabetes 5
    • Pancreatitis Pathology and Treatment 2

C. D. Logsdon

12 papers receiving 487 citations

Peers

C. D. Logsdon
Comparison fields: 5 of 61
  • Surgery 305
  • Cellular and Molecular Neuroscience 88
  • Oncology 111
  • Endocrinology, Diabetes and Metabolism 60
  • Physiology 17
Replace Wan-Ru Lee with:
Wan-Ru Lee United States
A. L. Jones United States
JR Goldenring United States
Xue Hou China
F. Clemente France
C M Ben-Avram United States
Millicent Shafir Sweden
June Chunqiu Hou United States
Roberto Sampietro Italy
Mark A. Seyfred United States
C. D. Logsdon relative to Wan-Ru Lee United States Wan-Ru Lee's profile →
Citations per field
00.5×2.9×
Wan-Ru Lee · 1×
Citations per year

Countries citing papers authored by C. D. Logsdon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with C. D. Logsdon Line = papers co-authored together C. D. Logsdon links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1997180
2 199361
3 199743
4 199537
5 198335
6 198835
7 199730
8 198927
9 198621
10
Transforming growth factor-β (TGF-β1) inhibits pancreatic acinar cell growth
199217
11 198110
12 19974

About C. D. Logsdon

C. D. Logsdon is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Oncology and Organic Chemistry, having authored 12 papers that have together received 500 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Neuropeptides and Animal Physiology (4 papers), Pancreatitis Pathology and Treatment (2 papers), Receptor Mechanisms and Signaling (2 papers), Glycosylation and Glycoproteins Research (1 paper), Ion Transport and Channel Regulation (1 paper), Heat shock proteins research (1 paper) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Surgery (305 citations), Cellular and Molecular Neuroscience (88 citations), Oncology (111 citations), Endocrinology, Diabetes and Metabolism (60 citations) and Physiology (17 citations). C. D. Logsdon has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Terrence Grady, John A. Williams, Ping Liang, Katharina Detjen, Matthew J. Wishart, Philip Andrews, Robert C. Nichols, Jun Yang, David I. Yule and R. Daniel Beauchamp. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Gastroenterology, Physiology, Molecular Pharmacology 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.

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