Charles F. Moore
- Epidemiology
- Molecular Biology
- Oncology
- Endocrinology, Diabetes and Metabolism top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Kenneth L. BeckerRichard H. SniderOmega L. SilvaHoward A. FuchsMichelle J. OrmsethRobert A. GoldsteinHarold L. IsraelJohn L. Winnacker
- Topics
- Neuropeptides and Animal Physiology (5 papers)Neuroendocrine Tumor Research Advances (5 papers)Fault Detection and Control Systems (4 papers)
- Partner nations
- United StatesUkraineIndia
In The Last Decade
Charles F. Moore
39 papers receiving 849 citations
Peers
Comparison fields: 5 of 112
- Epidemiology 219
- Molecular Biology 210
- Oncology 167
- Endocrinology, Diabetes and Metabolism 161
- Cellular and Molecular Neuroscience 155
Countries citing papers authored by Charles F. Moore
This map shows the geographic impact of Charles F. Moore'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 Charles F. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles F. Moore more than expected).
Fields of papers citing papers by Charles F. Moore
This network shows the impact of papers produced by Charles F. Moore. 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 Charles F. Moore. The network helps show where Charles F. Moore may publish in the future.
Co-authorship network of co-authors of Charles F. Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Charles F. Moore. A scholar is included among the top collaborators of Charles F. Moore based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charles F. Moore. Charles F. Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 101 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 25 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 2 | |
| 9 | Urine calcitonin levels in patients with bronchogenic carcinoma. | 8 |
| 10 | 9 | |
| 11 | 16 | |
| 12 | 88 | |
| 13 | 24 | |
| 14 | 53 | |
| 15 | 29 | |
| 16 | 57 | |
| 17 | 12 | |
| 18 | Computer process control | 18 |
| 19 | 21 | |
| 20 | 22 |
About Charles F. Moore
Charles F. Moore is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 40 papers that have together received 944 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Neuroendocrine Tumor Research Advances (5 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (161 citations), Nephrology (67 citations) and Cellular and Molecular Neuroscience (155 citations). Charles F. Moore has collaborated with scholars based in United States, Ukraine and India. Frequent co-authors include Kenneth L. Becker, Richard H. Snider, Omega L. Silva, Howard A. Fuchs, Michelle J. Ormseth, Robert A. Goldstein, Harold L. Israel, John L. Winnacker, Donald R. Nash and Nitin Kaistha. Their work appears in journals such as New England Journal of Medicine, Academy of Management Journal and Analytical 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.