Michael Eisbacher
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hematology top 10%
- Platelet Disorders and Treatments
- Acute Myeloid Leukemia Research
Papers in
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- RNA modifications and cancer 2
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
- Protein Degradation and Inhibitors 1
- RNA and protein synthesis mechanisms 1
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- Platelet Disorders and Treatments 2
- Blood groups and transfusion 1
- Co-authors
- Beng H. Chong (5 shared papers)Melissa L. Holmes (4 shared papers)Chunyan Zhang (1 shared paper)Mitch Raponi (1 shared paper)Lesley Dossey (1 shared paper)Nham Tran (1 shared paper)Lara M. Cullen (1 shared paper)Greg M. Arndt (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)Journal of Biological Chemistry (1 paper)BMC Cancer (1 paper)Leukemia & lymphoma (1 paper)PubMed (1 paper)
- Partner nations
- AustraliaSingaporeUnited Kingdom
In The Last Decade
Michael Eisbacher
7 papers receiving 402 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 207
- Hematology 100
- Molecular Biology 288
- Genetics 38
- Immunology and Allergy 14
Countries citing papers authored by Michael Eisbacher
This map shows the geographic impact of Michael Eisbacher'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 Michael Eisbacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Eisbacher more than expected).
Fields of papers citing papers by Michael Eisbacher
This network shows the impact of papers produced by Michael Eisbacher. 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 Michael Eisbacher. The network helps show where Michael Eisbacher may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Eisbacher, 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 | 2009 | 226 | |
| 2 | 2003 | 100 | |
| 3 | 2002 | 29 | |
| 4 | 2005 | 19 | |
| 5 | Inducible expression of the megakaryocyte-specific gene glycoprotein IX is mediated through an Ets binding site and involves upstream activation of extracellular signal-regulated kinase. | 2001 | 14 |
| 6 | 2019 | 13 | |
| 7 | 2004 | 7 |
About Michael Eisbacher
Michael Eisbacher is a scholar working on Molecular Biology, Hematology, Cardiology and Cardiovascular Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 408 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (2 papers), RNA modifications and cancer (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), MicroRNA in disease regulation (1 paper), Protein Degradation and Inhibitors (1 paper), Blood groups and transfusion (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Cancer Research (207 citations), Hematology (100 citations), Molecular Biology (288 citations), Genetics (38 citations) and Immunology and Allergy (14 citations). Michael Eisbacher has collaborated with scholars based in Australia, Singapore and United Kingdom. Frequent co-authors include Beng H. Chong, Melissa L. Holmes, Chunyan Zhang, Mitch Raponi, Lesley Dossey, Nham Tran, Lara M. Cullen, Greg M. Arndt, Hongtao Fan and Angela Lai. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, BMC Cancer, Leukemia & lymphoma and PubMed.
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.