Gordon S. Huggins
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Genetics top 5%
- Surgery top 10%
- Epidemiology top 10%
- Co-authors
- Immaculata De VivoJeffrey M. LeidenE. C. SvenssonJason WongNikhil C. MunshiMarcella DebiddaRyuichi AikawaInga Peter
- Topics
- Congenital heart defects research (11 papers)Cardiomyopathy and Myosin Studies (10 papers)Genetic Associations and Epidemiology (8 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Gordon S. Huggins
96 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.5k
- Cardiology and Cardiovascular Medicine 1.0k
- Genetics 606
- Surgery 376
- Epidemiology 347
Countries citing papers authored by Gordon S. Huggins
This map shows the geographic impact of Gordon S. Huggins'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 Gordon S. Huggins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon S. Huggins more than expected).
Fields of papers citing papers by Gordon S. Huggins
This network shows the impact of papers produced by Gordon S. Huggins. 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 Gordon S. Huggins. The network helps show where Gordon S. Huggins may publish in the future.
Co-authorship network of co-authors of Gordon S. Huggins
This figure shows the co-authorship network connecting the top 25 collaborators of Gordon S. Huggins. A scholar is included among the top collaborators of Gordon S. Huggins 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 Gordon S. Huggins. Gordon S. Huggins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 63 | |
| 5 | 2 | |
| 6 | 26 | |
| 7 | 20 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 45 | |
| 11 | 17 | |
| 12 | 0 | |
| 13 | 23 | |
| 14 | Abstract 20281: Friend of GATA-2 (FOG-2) Regulates FOXM1 Expression and Cardiomyocyte Proliferation | 1 |
| 15 | 19 | |
| 16 | 194 | |
| 17 | 57 | |
| 18 | 58 | |
| 19 | 1 | |
| 20 | 2 |
About Gordon S. Huggins
Gordon S. Huggins is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 98 papers that have together received 3.3k indexed citations. Recurring topics across this work include Congenital heart defects research (11 papers), Cardiomyopathy and Myosin Studies (10 papers) and Genetic Associations and Epidemiology (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Molecular Biology (1.5k citations) and Genetics (606 citations). Gordon S. Huggins has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Immaculata De Vivo, Jeffrey M. Leiden, E. C. Svensson, Jason Wong, Nikhil C. Munshi, Marcella Debidda, Ryuichi Aikawa, Inga Peter, Simon C. Body and Andrea Pellacani. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA 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.