E. J. Ackerman
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Biotechnology top 5%
- Transgenic Plants and Applications
Papers in
-
- Transgenic Plants and Applications 8
-
- Toxin Mechanisms and Immunotoxins 8
- Co-authors
- Shailendra Kumar Saxena (8 shared papers)Richard J. Youle (4 shared papers)Alison D. O’Brien (1 shared paper)S.M. Rybak (3 shared papers)Wilson H. Burgess (1 shared paper)Matthew M. Rechler (1 shared paper)Alexandra Lynne Brown (1 shared paper)Lorenzo Chiariotti (1 shared paper)
- Journals
- Journal of Biological Chemistry (14 papers)Radiation Research (1 paper)The EMBO Journal (1 paper)Applied Magnetic Resonance (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
E. J. Ackerman
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Endocrinology 142
- Biotechnology 189
- Immunology 329
- Endocrinology, Diabetes and Metabolism 221
- Molecular Biology 754
Countries citing papers authored by E. J. Ackerman
This map shows the geographic impact of E. J. Ackerman'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. J. Ackerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. J. Ackerman more than expected).
Fields of papers citing papers by E. J. Ackerman
This network shows the impact of papers produced by E. J. Ackerman. 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. J. Ackerman. The network helps show where E. J. Ackerman may publish in the future.
Co-authors
The 25 scholars most cited alongside E. J. Ackerman, 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 | 1989 | 248 | |
| 2 | 1989 | 205 | |
| 3 | 1992 | 136 | |
| 4 | 1991 | 94 | |
| 5 | 1981 | 78 | |
| 6 | 1991 | 77 | |
| 7 | 1990 | 75 | |
| 8 | 1992 | 75 | |
| 9 | 2005 | 48 | |
| 10 | 1983 | 42 | |
| 11 | 1980 | 33 | |
| 12 | 1990 | 32 | |
| 13 | 1988 | 22 | |
| 14 | 1980 | 21 | |
| 15 | 1982 | 11 | |
| 16 | 2002 | 9 | |
| 17 | 1981 | 8 |
About E. J. Ackerman
E. J. Ackerman is a scholar working on Biotechnology, Immunology, Molecular Biology, Spectroscopy and Biophysics, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (8 papers), Toxin Mechanisms and Immunotoxins (8 papers), RNA and protein synthesis mechanisms (4 papers), Plant tissue culture and regeneration (3 papers), DNA Repair Mechanisms (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Endocrinology (142 citations), Biotechnology (189 citations), Immunology (329 citations), Endocrinology, Diabetes and Metabolism (221 citations) and Molecular Biology (754 citations). E. J. Ackerman has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Shailendra Kumar Saxena, Richard J. Youle, Alison D. O’Brien, S.M. Rybak, Wilson H. Burgess, Matthew M. Rechler, Alexandra Lynne Brown, Lorenzo Chiariotti, Craig C. Orlowski and Tevie Mehlman. Their work appears in journals such as Journal of Biological Chemistry, Radiation Research, The EMBO Journal and Applied Magnetic Resonance.
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.