Karl M. Ebert
- Genetics top 1%
- Animal Genetics and Reproduction 22
- Virus-based gene therapy research 4
- Reproductive Medicine top 2%
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- Reproductive Biology and Fertility 15
- Molecular Biology top 5%
- CRISPR and Genetic Engineering 9
- Pluripotent Stem Cells Research 8
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- Reproductive System and Pregnancy 3
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- Reproductive Physiology in Livestock 4
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- Xenotransplantation and immune response 3
- Co-authors
- Virginia E. PapaioannouRobert E. HammerRalph L. BrinsterR.J. WallV. G. PurselCaird E. RexroadRichard D. PalmiterDineli Wickramasinghe
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Karl M. Ebert
44 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Genetics 1.5k
- Reproductive Medicine 302
- Public Health, Environmental and Occupational Health 806
- Molecular Biology 1.6k
- Immunology 182
Countries citing papers authored by Karl M. Ebert
This map shows the geographic impact of Karl M. 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 Karl M. Ebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl M. Ebert more than expected).
Fields of papers citing papers by Karl M. Ebert
This network shows the impact of papers produced by Karl M. 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 Karl M. Ebert. The network helps show where Karl M. Ebert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karl M. 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
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 2 | |
| 2 | 1997 | 18 | |
| 3 | 1996 | 5 | |
| 4 | 1995 | 24 | |
| 5 | 1995 | 13 | |
| 6 | 1993 | 13 | |
| 7 | 1992 | 44 | |
| 8 | Transgenic production of a variant of human tissue-type plasminogen activator in goat milk: generation of transgenic goat and analysis of ecpression. | 1991 | 39 |
| 9 | 1991 | 195 | |
| 10 | 1991 | 192 | |
| 11 | 1991 | 72 | |
| 12 | 1991 | 19 | |
| 13 | 1990 | 14 | |
| 14 | 1989 | 18 | |
| 15 | 1989 | 8 | |
| 16 | 1987 | 44 | |
| 17 | 1986 | 59 | |
| 18 | 1980 | 23 | |
| 19 | 1980 | 64 | |
| 20 | 1976 | 11 |
About Karl M. Ebert
Karl M. Ebert is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 44 papers that have together received 2.4k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (22 papers), Reproductive Biology and Fertility (15 papers), CRISPR and Genetic Engineering (9 papers), Pluripotent Stem Cells Research (8 papers), Virus-based gene therapy research (4 papers), Reproductive Physiology in Livestock (4 papers), Xenotransplantation and immune response (3 papers) and Reproductive System and Pregnancy (3 papers). The work is most often cited by research in Genetics (1.5k citations), Reproductive Medicine (302 citations) and Public Health, Environmental and Occupational Health (806 citations). Karl M. Ebert has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Virginia E. Papaioannou, Robert E. Hammer, Ralph L. Brinster, R.J. Wall, V. G. Pursel, Caird E. Rexroad, Richard D. Palmiter, Dineli Wickramasinghe, David F. Albertini and Paul DiTullio. Their work appears in journals such as Theriogenology, Reproduction, Nature Biotechnology, Molecular Endocrinology and Development.
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.