Craig L. Hanis
- Endocrinology, Diabetes and Metabolism top 0.5%
- Genetics top 0.5%
- Molecular Biology top 5%
- Epidemiology top 2%
- Physiology top 2%
- Co-authors
- Sharon A. BrownWilliam J. SchullAlexandra A. GarciáRanajit ChakrabortyKamiar KouzekananiThorkild I. A. SørensenThomas W. TeasdaleAlbert J. Stunkard
- Topics
- Genetic Associations and Epidemiology (37 papers)Diabetes Management and Education (19 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers)
- Partner nations
- United StatesCanadaMexico
In The Last Decade
Craig L. Hanis
162 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Endocrinology, Diabetes and Metabolism 2.0k
- Genetics 1.9k
- Molecular Biology 1.3k
- Epidemiology 1.2k
- Physiology 1.1k
Countries citing papers authored by Craig L. Hanis
This map shows the geographic impact of Craig L. Hanis'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 Craig L. Hanis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig L. Hanis more than expected).
Fields of papers citing papers by Craig L. Hanis
This network shows the impact of papers produced by Craig L. Hanis. 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 Craig L. Hanis. The network helps show where Craig L. Hanis may publish in the future.
Co-authorship network of co-authors of Craig L. Hanis
This figure shows the co-authorship network connecting the top 25 collaborators of Craig L. Hanis. A scholar is included among the top collaborators of Craig L. Hanis 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 Craig L. Hanis. Craig L. Hanis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 46 | |
| 9 | Abstract 1654: Prevalence and Correlates of Aortic Root Dilatation in Normotensive and Hypertensive Adults: The Family Blood Pressure Program | 1 |
| 10 | 19 | |
| 11 | 19 | |
| 12 | 24 | |
| 13 | Dosage Effects of Diabetes Self- Management Education for Mexican Americans | 18 |
| 14 | 42 | |
| 15 | 278 | |
| 16 | 21 | |
| 17 | 23 | |
| 18 | 33 | |
| 19 | Genetics of cellular, individual, family, and population variability | 16 |
| 20 | 86 |
About Craig L. Hanis
Craig L. Hanis is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Pharmacy, having authored 165 papers that have together received 7.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (37 papers), Diabetes Management and Education (19 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.0k citations), Pharmacy (439 citations) and Genetics (1.9k citations). Craig L. Hanis has collaborated with scholars based in United States, Canada and Mexico. Frequent co-authors include Sharon A. Brown, William J. Schull, Alexandra A. Garciá, Ranajit Chakraborty, Kamiar Kouzekanani, Thorkild I. A. Sørensen, Thomas W. Teasdale, Albert J. Stunkard, Fini Schulsinger and Nancy J. Cox. Their work appears in journals such as New England Journal of Medicine, Nucleic Acids Research and Circulation.
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.