A Nagler
- Hematology top 1%
- Immunology top 10%
- Oncology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Genetics top 5%
- Co-authors
- Joseph KapelushnikE NaparstekS SamuelAliza AckersteinR. OrChaim BrautbarS SlavinMohamad Mohty
- Topics
- Hematopoietic Stem Cell Transplantation (18 papers)Acute Myeloid Leukemia Research (7 papers)Acute Lymphoblastic Leukemia research (6 papers)
- Cited by
- HematologyImmunologyGenetics
- Partner nations
- IsraelFranceUnited Kingdom
In The Last Decade
A Nagler
41 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 103
- Hematology 974
- Immunology 363
- Oncology 352
- Public Health, Environmental and Occupational Health 282
- Genetics 179
Countries citing papers authored by A Nagler
This map shows the geographic impact of A Nagler'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 A Nagler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Nagler more than expected).
Fields of papers citing papers by A Nagler
This network shows the impact of papers produced by A Nagler. 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 A Nagler. The network helps show where A Nagler may publish in the future.
Co-authorship network of co-authors of A Nagler
This figure shows the co-authorship network connecting the top 25 collaborators of A Nagler. A scholar is included among the top collaborators of A Nagler 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 A Nagler. A Nagler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 64 | |
| 3 | Allogeneic stem cell transplantation in adult patients with acute myeloid leukemia and 17p abnormalities in first complete remission: a study from the Acute Leukemia Working Party (ALWP) of the European society of Blood and Marrow Transplantation (EBMT) | 1 |
| 4 | 268 | |
| 5 | Comparison of RIC-alloHCT and autoHCT for > 55 years old patients with acute lymphoblastic leukemia: an analysis from Acute Leukemia Working Party of the EBMT | 1 |
| 6 | 42 | |
| 7 | 19 | |
| 8 | 27 | |
| 9 | 86 | |
| 10 | 22 | |
| 11 | 39 | |
| 12 | 49 | |
| 13 | 4 | |
| 14 | 19 | |
| 15 | 14 | |
| 16 | 6 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 51 | |
| 20 | 8 |
About A Nagler
A Nagler is a scholar working on Hematology, Geriatrics and Gerontology and Genetics, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (18 papers), Acute Myeloid Leukemia Research (7 papers) and Acute Lymphoblastic Leukemia research (6 papers). The work is most often cited by research in Hematology (974 citations), Immunology (363 citations) and Genetics (179 citations). A Nagler has collaborated with scholars based in Israel, France and United Kingdom. Frequent co-authors include Joseph Kapelushnik, E Naparstek, S Samuel, Aliza Ackerstein, R. Or, Chaim Brautbar, S Slavin, Mohamad Mohty, Avichai Shimoni and Reuven Or. Their work appears in journals such as Journal of Clinical Oncology, Blood and Hepatology.
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.