Elizabeth J. Ackermann
- Molecular Biology top 5%
- Oncology top 10%
- Cell Biology top 5%
- Immunology top 10%
- Physiology top 10%
- Co-authors
- Edward A. DennisKilian W. Conde‐FrieboesC. Frank BennettDario C. AltieriE.S. KempnerFengzhi LiSimona TogninAnnette L. Rothermel
- Topics
- Amyloidosis: Diagnosis, Treatment, Outcomes (18 papers)Protein Kinase Regulation and GTPase Signaling (9 papers)Cellular transport and secretion (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of the American College of Cardiology
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Elizabeth J. Ackermann
35 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 1.9k
- Oncology 416
- Cell Biology 410
- Immunology 270
- Physiology 250
Countries citing papers authored by Elizabeth J. Ackermann
This map shows the geographic impact of Elizabeth J. Ackermann'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 Elizabeth J. Ackermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth J. Ackermann more than expected).
Fields of papers citing papers by Elizabeth J. Ackermann
This network shows the impact of papers produced by Elizabeth J. Ackermann. 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 Elizabeth J. Ackermann. The network helps show where Elizabeth J. Ackermann may publish in the future.
Co-authorship network of co-authors of Elizabeth J. Ackermann
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth J. Ackermann. A scholar is included among the top collaborators of Elizabeth J. Ackermann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elizabeth J. Ackermann. Elizabeth J. Ackermann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 15 | |
| 3 | 25 | |
| 4 | 36 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 22 | |
| 8 | 9 | |
| 9 | 19 | |
| 10 | 114 | |
| 11 | 3 | |
| 12 | 56 | |
| 13 | 160 | |
| 14 | 95 | |
| 15 | Pleiotropic cell-division defects and apoptosis induced by interference with survivin functionbreakdown → | 526 |
| 16 | 62 | |
| 17 | 34 | |
| 18 | 39 | |
| 19 | 109 | |
| 20 | 245 |
About Elizabeth J. Ackermann
Elizabeth J. Ackermann is a scholar working on Cell Biology, Nephrology and Immunology and Allergy, having authored 35 papers that have together received 2.4k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (18 papers), Protein Kinase Regulation and GTPase Signaling (9 papers) and Cellular transport and secretion (7 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Cell Biology (410 citations) and Biochemistry (143 citations). Elizabeth J. Ackermann has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Edward A. Dennis, Kilian W. Conde‐Frieboes, C. Frank Bennett, Dario C. Altieri, E.S. Kempner, Fengzhi Li, Simona Tognin, Annette L. Rothermel, Pier Carlo Marchisio and Antonello Villa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of the American College of Cardiology.
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.