Armando G. Poeppl
- Molecular Biology top 10%
- Hematology top 1%
- Oncology top 5%
- Immunology top 5%
- Cancer Research top 5%
- Co-authors
- John E. DickIgor JurišicaSergei DoulatovFaiyaz NottaElisa LaurentiMark D. MindenJayne S. DanskaJean Wang
- Topics
- Virus-based gene therapy research (3 papers)Lysosomal Storage Disorders Research (3 papers)Chronic Lymphocytic Leukemia Research (2 papers)
- Cited by
- HematologyCancer ResearchGenetics
- Partner nations
- CanadaUnited StatesCroatia
In The Last Decade
Armando G. Poeppl
10 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Biology 951
- Hematology 922
- Oncology 534
- Immunology 475
- Cancer Research 383
Countries citing papers authored by Armando G. Poeppl
This map shows the geographic impact of Armando G. Poeppl'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 Armando G. Poeppl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armando G. Poeppl more than expected).
Fields of papers citing papers by Armando G. Poeppl
This network shows the impact of papers produced by Armando G. Poeppl. 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 Armando G. Poeppl. The network helps show where Armando G. Poeppl may publish in the future.
Co-authorship network of co-authors of Armando G. Poeppl
This figure shows the co-authorship network connecting the top 25 collaborators of Armando G. Poeppl. A scholar is included among the top collaborators of Armando G. Poeppl 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 Armando G. Poeppl. Armando G. Poeppl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 61 | |
| 2 | 113 | |
| 3 | Stem cell gene expression programs influence clinical outcome in human leukemiabreakdown → | 740 |
| 4 | 340 | |
| 5 | Isolation of Single Human Hematopoietic Stem Cells Capable of Long-Term Multilineage Engraftmentbreakdown → | 598 |
| 6 | Anti-CD9 antibody, AR40A746.2.3, inhibits tumor growth in pancreatic and breast cancer models and recognizes CD9 on CD34+CD38- leukemic cancer stem cells. | 2 |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 73 |
About Armando G. Poeppl
Armando G. Poeppl is a scholar working on Hematology, Physiology and Genetics, having authored 10 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Lysosomal Storage Disorders Research (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (922 citations), Cancer Research (383 citations) and Genetics (261 citations). Armando G. Poeppl has collaborated with scholars based in Canada, United States and Croatia. Frequent co-authors include John E. Dick, Igor Jurišica, Sergei Doulatov, Faiyaz Notta, Elisa Laurenti, Mark D. Minden, Jayne S. Danska, Jean Wang, Björn Nilsson and Levi Waldron. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.