R. Alan Failor
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diet, Metabolism, and Disease
-
- Fatty Acid Research and Health
Papers in
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- Pituitary Gland Disorders and Treatments 8
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Surgery 9
- Adrenal and Paraganglionic Tumors 5
- Cholesterol and Lipid Metabolism 2
- Lipoproteins and Cardiovascular Health 2
- Co-authors
- Marian T. Childs (2 shared papers)John D. Brunzell (4 shared papers)John J. Albers (4 shared papers)David M. Foster (3 shared papers)Alan Chait (3 shared papers)Edwin L. Bierman (2 shared papers)Karen E. Friday (1 shared paper)E L Bierman (1 shared paper)
- Journals
- Metabolism (3 papers)Human Genetics (1 paper)Hormone and Metabolic Research (1 paper)Journal of Neuro-Oncology (1 paper)Neurosurgery (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
R. Alan Failor
17 papers receiving 229 citations
Peers
Comparison fields: 5 of 47
- Endocrinology, Diabetes and Metabolism 106
- Nutrition and Dietetics 70
- Surgery 141
- Biochemistry 21
- Cancer Research 35
Countries citing papers authored by R. Alan Failor
This map shows the geographic impact of R. Alan Failor'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 R. Alan Failor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Alan Failor more than expected).
Fields of papers citing papers by R. Alan Failor
This network shows the impact of papers produced by R. Alan Failor. 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 R. Alan Failor. The network helps show where R. Alan Failor may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Alan Failor, 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 | 1986 | 66 | |
| 2 | 1988 | 43 | |
| 3 | 1991 | 35 | |
| 4 | 1986 | 24 | |
| 5 | 1992 | 18 | |
| 6 | 2017 | 8 | |
| 7 | 2022 | 8 | |
| 8 | 2020 | 6 | |
| 9 | 2012 | 5 | |
| 10 | 2017 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 1987 | 4 | |
| 13 | 2003 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2012 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About R. Alan Failor
R. Alan Failor is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 235 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (8 papers), Adrenal and Paraganglionic Tumors (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Glioma Diagnosis and Treatment (3 papers), Fatty Acid Research and Health (2 papers), Cholesterol and Lipid Metabolism (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Soft tissue tumors and treatment (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (106 citations), Nutrition and Dietetics (70 citations), Surgery (141 citations), Biochemistry (21 citations) and Cancer Research (35 citations). R. Alan Failor has collaborated with scholars based in United States and Russia. Frequent co-authors include Marian T. Childs, John D. Brunzell, John J. Albers, David M. Foster, Alan Chait, Edwin L. Bierman, Karen E. Friday, E L Bierman, Ellen M. Wijsman and B. Greg Brown. Their work appears in journals such as Metabolism, Human Genetics, Hormone and Metabolic Research, Journal of Neuro-Oncology and Neurosurgery.
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.