Emil M. deGoma
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- Diabetes, Cardiovascular Risks, and Lipoproteins 12
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism 5
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- Blood Pressure and Hypertension Studies 4
- Antiplatelet Therapy and Cardiovascular Diseases 3
- Surgery top 5%
- Lipoproteins and Cardiovascular Health 20
- Cholesterol and Lipid Metabolism 4
- Hematology top 5%
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- Atherosclerosis and Cardiovascular Diseases 5
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- Computational Drug Discovery Methods 3
- Co-authors
- Daniel J. RaderPaul A. HeidenreichNicholas J. LeeperBenjamin FrenchBradley J. MaroniMarisa SchoenCraig A. UmscheidMatthew J. Budoff
- Cited by
- Endocrinology, Diabetes and MetabolismCancer ResearchCardiology and Cardiovascular Medicine
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Emil M. deGoma
40 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Endocrinology, Diabetes and Metabolism 425
- Cancer Research 242
- Cardiology and Cardiovascular Medicine 365
- Surgery 667
- Hematology 166
Countries citing papers authored by Emil M. deGoma
This map shows the geographic impact of Emil M. deGoma'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 Emil M. deGoma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emil M. deGoma more than expected).
Fields of papers citing papers by Emil M. deGoma
This network shows the impact of papers produced by Emil M. deGoma. 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 Emil M. deGoma. The network helps show where Emil M. deGoma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emil M. deGoma, 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 | 2025 | 3 | |
| 2 | 2024 | 25 | |
| 3 | 2021 | 11 | |
| 4 | 2017 | 103 | |
| 5 | 2016 | 15 | |
| 6 | 2014 | 9 | |
| 7 | 2014 | 19 | |
| 8 | Statins and Cognitive Function | 2013 | 6 |
| 9 | 2013 | 1 | |
| 10 | 2012 | 28 | |
| 11 | 2012 | 57 | |
| 12 | 2012 | 14 | |
| 13 | 2011 | 2 | |
| 14 | 2011 | 49 | |
| 15 | 2011 | 110 | |
| 16 | 2010 | 11 | |
| 17 | 2009 | 21 | |
| 18 | 2008 | 98 | |
| 19 | 2008 | 203 | |
| 20 | 2007 | 14 |
About Emil M. deGoma
Emil M. deGoma is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (20 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Cancer, Lipids, and Metabolism (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Blood Pressure and Hypertension Studies (4 papers), Cholesterol and Lipid Metabolism (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (425 citations), Cancer Research (242 citations) and Cardiology and Cardiovascular Medicine (365 citations). Emil M. deGoma has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Daniel J. Rader, Paul A. Heidenreich, Nicholas J. Leeper, Benjamin French, Bradley J. Maroni, Marisa Schoen, Craig A. Umscheid, Matthew J. Budoff, Karl Richardson and Matthew D. Mitchell.
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.