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)Keichiro Mihara (1 shared paper)Chihaya Imai (1 shared paper)I. Nicholson (1 shared paper)Terrence L. Geiger (1 shared paper)Raul C. Ribeiro (2 shared papers)Jeffrey E. Rubnitz (2 shared papers)
- Journals
- Biology of Blood and Marrow Transplantation (3 papers)FEBS Letters (2 papers)Leukemia (2 papers)Virology (2 papers)Transplantation and Cellular Therapy (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 59
- Oncology 654
- Virology 100
- Hematology 185
- Immunology 287
- Genetics 239
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 | 643 |
| 2 | 2003 | 94 | |
| 3 | 2004 | 93 | |
| 4 | 1995 | 33 | |
| 5 | 1992 | 29 | |
| 6 | 1998 | 28 | |
| 7 | 2014 | 24 | |
| 8 | 1992 | 23 | |
| 9 | 2005 | 20 | |
| 10 | 1993 | 19 | |
| 11 | 1991 | 16 | |
| 12 | 2008 | 5 | |
| 13 | 1998 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2015 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2008 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2006 | 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), Hemoglobinopathies and Related Disorders (3 papers), Acute Myeloid Leukemia Research (3 papers), HIV/AIDS drug development and treatment (3 papers), Cancer therapeutics and mechanisms (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Oncology (654 citations), Virology (100 citations), Hematology (185 citations), Immunology (287 citations) and Genetics (239 citations). Martin Andreánsky has collaborated with scholars based in United States, Czechia and Canada. Frequent co-authors include Dario Campana, C‐H Pui, Keichiro Mihara, Chihaya Imai, I. Nicholson, Terrence L. Geiger, Raul C. Ribeiro, Jeffrey E. Rubnitz, Bassem I. Razzouk and Elaine Coustan‐Smith. Their work appears in journals such as Biology of Blood and Marrow Transplantation, FEBS Letters, Leukemia, Virology and Transplantation and Cellular Therapy.
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.