Ray F. Ebert
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Genetics 15
- Mesenchymal stem cell research 15
- Co-authors
- Thomas Dean Pollard (1 shared paper)Jozef Kaiser (1 shared paper)Masahiko Sato (1 shared paper)Robert D. Simari (4 shared papers)Karen I. Miller (1 shared paper)Psyche Lee (1 shared paper)Emerson C. Perin (6 shared papers)Celia Bonaventura (1 shared paper)
- Journals
- Circulation Research (6 papers)American Heart Journal (4 papers)Thrombosis Research (3 papers)JAMA (2 papers)The Journal of Urology (2 papers)
- Partner nations
- United StatesGermanyPanama
In The Last Decade
Ray F. Ebert
39 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 103
- Genetics 599
- Biomaterials 294
- Surgery 776
- Cardiology and Cardiovascular Medicine 230
- Molecular Biology 676
Countries citing papers authored by Ray F. Ebert
This map shows the geographic impact of Ray F. Ebert'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 Ray F. Ebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ray F. Ebert more than expected).
Fields of papers citing papers by Ray F. Ebert
This network shows the impact of papers produced by Ray F. Ebert. 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 Ray F. Ebert. The network helps show where Ray F. Ebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Ray F. Ebert, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 370 | |
| 2 | 2012 | 318 | |
| 3 | 2021 | 119 | |
| 4 | 2015 | 109 | |
| 5 | 2018 | 77 | |
| 6 | 1996 | 71 | |
| 7 | 1986 | 68 | |
| 8 | 2014 | 51 | |
| 9 | 2014 | 48 | |
| 10 | 2017 | 48 | |
| 11 | 2017 | 40 | |
| 12 | 1988 | 38 | |
| 13 | 2020 | 38 | |
| 14 | 2014 | 35 | |
| 15 | 1993 | 32 | |
| 16 | 1993 | 28 | |
| 17 | 2024 | 28 | |
| 18 | 2016 | 25 | |
| 19 | 2014 | 23 | |
| 20 | 1994 | 22 |
About Ray F. Ebert
Ray F. Ebert is a scholar working on Genetics, Hematology, Gastroenterology, Surgery and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (15 papers), Blood properties and coagulation (4 papers), Hemoglobin structure and function (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Pluripotent Stem Cells Research (2 papers), Cardiovascular Function and Risk Factors (2 papers), Gastrointestinal motility and disorders (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Genetics (599 citations), Biomaterials (294 citations), Surgery (776 citations), Cardiology and Cardiovascular Medicine (230 citations) and Molecular Biology (676 citations). Ray F. Ebert has collaborated with scholars based in United States, Germany and Panama. Frequent co-authors include Thomas Dean Pollard, Jozef Kaiser, Masahiko Sato, Robert D. Simari, Karen I. Miller, Psyche Lee, Emerson C. Perin, Celia Bonaventura, Lem Moyé and Phillip Chung-Ming Yang. Their work appears in journals such as Circulation Research, American Heart Journal, Thrombosis Research, JAMA and The Journal of Urology.
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.