Martin Andreánsky
Impact in
Papers in
-
- Hematopoietic Stem Cell Transplantation 4
- Acute Myeloid Leukemia Research 3
- Virology 6
- HIV Research and Treatment 6
- Co-authors
- Dario Campana (3 shared papers)C‐H Pui (2 shared papers)I. Nicholson (1 shared paper)Chihaya Imai (1 shared paper)Terrence L. Geiger (1 shared paper)Keichiro Mihara (1 shared paper)Raul C. Ribeiro (2 shared papers)Elaine Coustan‐Smith (2 shared papers)
- Journals
- Biology of Blood and Marrow Transplantation (3 papers)Transplantation and Cellular Therapy (2 papers)Virology (2 papers)FEBS Letters (2 papers)Leukemia (2 papers)
- Partner nations
- United StatesCzechiaCanada
In The Last Decade
Martin Andreánsky
19 papers receiving 1.0k citations
Martin Andreánsky's Hit Papers
Peers
Comparison fields: 5 of 58
- Oncology 643
- Virology 97
- Hematology 173
- Immunology 261
- Genetics 222
Countries citing papers authored by Martin Andreánsky
This map shows the geographic impact of Martin Andreánsky'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 Martin Andreánsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Andreánsky more than expected).
Fields of papers citing papers by Martin Andreánsky
This network shows the impact of papers produced by Martin Andreánsky. 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 Martin Andreánsky. The network helps show where Martin Andreánsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Andreánsky, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Chimeric receptors with 4-1BB signaling capacity provoke potent cytotoxicity against acute lymphoblastic leukemia Hit paper breakdown → | 2004 | 649 |
| 2 | 2003 | 94 | |
| 3 | 2004 | 93 | |
| 4 | 1995 | 33 | |
| 5 | 1992 | 29 | |
| 6 | 1998 | 28 | |
| 7 | 2014 | 25 | |
| 8 | 1992 | 23 | |
| 9 | 2005 | 21 | |
| 10 | 1993 | 19 | |
| 11 | 1991 | 16 | |
| 12 | 2008 | 5 | |
| 13 | 1998 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2015 | 2 | |
| 17 | 2020 | 1 | |
| 18 | 2006 | 1 | |
| 19 | 2008 | 1 | |
| 20 | 2021 | 0 |
About Martin Andreánsky
Martin Andreánsky is a scholar working on Hematology, Virology, Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), Hematopoietic Stem Cell Transplantation (4 papers), HIV/AIDS drug development and treatment (3 papers), Acute Myeloid Leukemia Research (3 papers), Hemoglobinopathies and Related Disorders (3 papers), T-cell and Retrovirus Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Oncology (643 citations), Virology (97 citations), Hematology (173 citations), Immunology (261 citations) and Genetics (222 citations). Martin Andreánsky has collaborated with scholars based in United States, Czechia and Canada. Frequent co-authors include Dario Campana, C‐H Pui, I. Nicholson, Chihaya Imai, Terrence L. Geiger, Keichiro Mihara, Raul C. Ribeiro, Elaine Coustan‐Smith, Jeffrey E. Rubnitz and Bassem I. Razzouk. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Transplantation and Cellular Therapy, Virology, FEBS Letters and Leukemia.
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.