Jeffrey G. Suico
- Molecular Biology
- Surgery
- Health Information Management top 1%
- Artificial Intelligence top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Clement J. McDonaldJ. N. HookArden W. ForreyGilbert HillRaymond D. AllerStanley M. HuffJames T. CaseJ. Marc Overhage
- Topics
- Drug Transport and Resistance Mechanisms (6 papers)Lipoproteins and Cardiovascular Health (4 papers)Diabetes Management and Research (4 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jeffrey G. Suico
24 papers receiving 784 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 301
- Surgery 199
- Health Information Management 172
- Artificial Intelligence 170
- Endocrinology, Diabetes and Metabolism 119
Countries citing papers authored by Jeffrey G. Suico
This map shows the geographic impact of Jeffrey G. Suico'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 Jeffrey G. Suico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey G. Suico more than expected).
Fields of papers citing papers by Jeffrey G. Suico
This network shows the impact of papers produced by Jeffrey G. Suico. 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 Jeffrey G. Suico. The network helps show where Jeffrey G. Suico may publish in the future.
Co-authorship network of co-authors of Jeffrey G. Suico
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey G. Suico. A scholar is included among the top collaborators of Jeffrey G. Suico 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 Jeffrey G. Suico. Jeffrey G. Suico is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Muvalaplin, an Oral Small Molecule Inhibitor of Lipoprotein(a) Formationbreakdown → | 112 |
| 3 | 13 | |
| 4 | 19 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 34 | |
| 13 | 6 | |
| 14 | 31 | |
| 15 | 10 | |
| 16 | 370 | |
| 17 | 63 | |
| 18 | 35 | |
| 19 | 30 | |
| 20 | 20 |
About Jeffrey G. Suico
Jeffrey G. Suico is a scholar working on Health Information Management, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 24 papers that have together received 812 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (6 papers), Lipoproteins and Cardiovascular Health (4 papers) and Diabetes Management and Research (4 papers). The work is most often cited by research in Health Information Management (172 citations), Medical Terminology (6 citations) and Health Informatics (16 citations). Jeffrey G. Suico has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Clement J. McDonald, J. N. Hook, Arden W. Forrey, Gilbert Hill, Raymond D. Aller, Stanley M. Huff, James T. Case, J. Marc Overhage, Giacomo Ruotolo and Stephen J. Nicholls. Their work appears in journals such as JAMA, The Journal of Clinical Endocrinology & Metabolism and Diabetes.
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.