June E. Eichner
Impact in
- Aging top 10%
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- Blood Pressure and Hypertension Studies
- Lipid metabolism and disorders
Papers in
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- Blood Pressure and Hypertension Studies 2
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- Artificial Intelligence in Healthcare 3
- Co-authors
- Lewis H. Kuller (13 shared papers)William E. Moore (21 shared papers)Trevor John Orchard (4 shared papers)Gregory A. Grandits (3 shared papers)Robert E. Ferrell (11 shared papers)M. Ilyas Kamboh (9 shared papers)Eliot Schechter (9 shared papers)James D. Neaton (1 shared paper)
- Journals
- Genetic Epidemiology (5 papers)The American Journal of Cardiology (3 papers)American Journal of Epidemiology (3 papers)Artificial Intelligence in Medicine (2 papers)Atherosclerosis (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
June E. Eichner
47 papers receiving 2k citations
June E. Eichner's Hit Papers
Peers
Comparison fields: 5 of 112
- Aging 26
- Cardiology and Cardiovascular Medicine 331
- Endocrinology, Diabetes and Metabolism 213
- Surgery 526
- Genetics 337
Countries citing papers authored by June E. Eichner
This map shows the geographic impact of June E. Eichner'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 June E. Eichner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites June E. Eichner more than expected).
Fields of papers citing papers by June E. Eichner
This network shows the impact of papers produced by June E. Eichner. 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 June E. Eichner. The network helps show where June E. Eichner may publish in the future.
Co-authors
The 25 scholars most cited alongside June E. Eichner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Apolipoprotein E Polymorphism and Cardiovascular Disease: A HuGE Review Hit paper breakdown → | 2002 | 656 |
| 2 | 1993 | 214 | |
| 3 | 1991 | 171 | |
| 4 | 1993 | 96 | |
| 5 | 1984 | 89 | |
| 6 | 1994 | 84 | |
| 7 | Body mass index and blood pressure screening in a rural public school system: the Healthy Kids Project. | 2006 | 70 |
| 8 | 2000 | 67 | |
| 9 | 2017 | 63 | |
| 10 | 1989 | 50 | |
| 11 | 1990 | 50 | |
| 12 | 2009 | 48 | |
| 13 | 2008 | 36 | |
| 14 | 1998 | 31 | |
| 15 | 2005 | 31 | |
| 16 | 2010 | 29 | |
| 17 | 2005 | 26 | |
| 18 | 2008 | 26 | |
| 19 | 2006 | 25 | |
| 20 | 2004 | 24 |
About June E. Eichner
June E. Eichner is a scholar working on Cardiology and Cardiovascular Medicine, Health Information Management, Physiology, Surgery and Hematology, having authored 47 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (10 papers), Obesity, Physical Activity, Diet (6 papers), Bone health and osteoporosis research (3 papers), Artificial Intelligence in Healthcare (3 papers), Genetic Associations and Epidemiology (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Smoking Behavior and Cessation (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Aging (26 citations), Cardiology and Cardiovascular Medicine (331 citations), Endocrinology, Diabetes and Metabolism (213 citations), Surgery (526 citations) and Genetics (337 citations). June E. Eichner has collaborated with scholars based in United States and China. Frequent co-authors include Lewis H. Kuller, William E. Moore, Trevor John Orchard, Gregory A. Grandits, Robert E. Ferrell, M. Ilyas Kamboh, Eliot Schechter, James D. Neaton, Jane A. Cauley and Russell P. Tracy. Their work appears in journals such as Genetic Epidemiology, The American Journal of Cardiology, American Journal of Epidemiology, Artificial Intelligence in Medicine and Atherosclerosis.
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.