E. Tackaberry
Impact in
- Biotechnology top 2%
- Transgenic Plants and Applications
- Hematology top 5%
- Hemophilia Treatment and Research
- Blood Coagulation and Thrombosis Mechanisms
- Platelet Disorders and Treatments
Papers in
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- Plant tissue culture and regeneration 9
- CRISPR and Genetic Engineering 8
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- Transgenic Plants and Applications 11
- Co-authors
- Peter R. Ganz (13 shared papers)Anil K. Dudani (12 shared papers)Douglas S. Palmer (7 shared papers)G. Rock (4 shared papers)Ravinder Sardana (9 shared papers)Illimar Altosaar (9 shared papers)Bernard R. Brodeur (6 shared papers)Peter Ganz (3 shared papers)
In The Last Decade
E. Tackaberry
33 papers receiving 633 citations
Peers
Comparison fields: 5 of 77
- Biotechnology 253
- Hematology 158
- Biochemistry 71
- Critical Care and Intensive Care Medicine 22
- Molecular Biology 320
Countries citing papers authored by E. Tackaberry
This map shows the geographic impact of E. Tackaberry'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 E. Tackaberry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Tackaberry more than expected).
Fields of papers citing papers by E. Tackaberry
This network shows the impact of papers produced by E. Tackaberry. 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 E. Tackaberry. The network helps show where E. Tackaberry may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Tackaberry, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 82 | |
| 2 | 1999 | 73 | |
| 3 | 1979 | 57 | |
| 4 | 2001 | 40 | |
| 5 | 2007 | 37 | |
| 6 | 1990 | 35 | |
| 7 | 2006 | 35 | |
| 8 | 2008 | 32 | |
| 9 | 1983 | 31 | |
| 10 | 2002 | 31 | |
| 11 | 2003 | 23 | |
| 12 | 1978 | 22 | |
| 13 | Expression of human blood proteins in transgenic plants: the cytokine GM-CSF as a model protein. | 1996 | 22 |
| 14 | 2005 | 19 | |
| 15 | 1984 | 17 | |
| 16 | 1979 | 17 | |
| 17 | 1998 | 15 | |
| 18 | 1988 | 14 | |
| 19 | 2008 | 12 | |
| 20 | 1993 | 11 |
About E. Tackaberry
E. Tackaberry is a scholar working on Molecular Biology, Biotechnology, Hematology, Genetics and Epidemiology, having authored 33 papers that have together received 689 indexed citations. Recurring topics across this work include Transgenic Plants and Applications (11 papers), Plant tissue culture and regeneration (9 papers), Hemophilia Treatment and Research (8 papers), CRISPR and Genetic Engineering (8 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers), Cytomegalovirus and herpesvirus research (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Biotechnology (253 citations), Hematology (158 citations), Biochemistry (71 citations), Critical Care and Intensive Care Medicine (22 citations) and Molecular Biology (320 citations). E. Tackaberry has collaborated with scholars based in Canada, Romania and Sri Lanka. Frequent co-authors include Peter R. Ganz, Anil K. Dudani, Douglas S. Palmer, G. Rock, Ravinder Sardana, Illimar Altosaar, G. Rock, Bernard R. Brodeur, Peter Ganz and Rémy A. Aubin. Their work appears in journals such as Transgenic Research, Thrombosis Research, Transfusion, Journal of Immunological Methods and Thrombosis and Haemostasis.
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.