J. Atta
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
Papers in
- Genetics 10
- Chronic Lymphocytic Leukemia Research 9
-
- Chronic Myeloid Leukemia Treatments 6
- Hematopoietic Stem Cell Transplantation 2
- Co-authors
- D. Hoelzer (6 shared papers)Hans Martin (4 shared papers)Volker Rickerts (1 shared paper)E. Lambrecht (1 shared paper)Volkmar Jacobi (1 shared paper)G. Just‐Nübling (1 shared paper)Ralf Bialek (1 shared paper)Thomas Elter (1 shared paper)
- Journals
- Annals of Hematology (2 papers)Leukemia (1 paper)Haematologica (1 paper)Cancer Control (1 paper)International Journal of Hematology (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
J. Atta
16 papers receiving 243 citations
Peers
Comparison fields: 5 of 41
- Genetics 94
- Hematology 74
- Pathology and Forensic Medicine 115
- Neurology 71
- Infectious Diseases 49
Countries citing papers authored by J. Atta
This map shows the geographic impact of J. Atta'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 J. Atta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Atta more than expected).
Fields of papers citing papers by J. Atta
This network shows the impact of papers produced by J. Atta. 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 J. Atta. The network helps show where J. Atta may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Atta, 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 | 2013 | 65 | |
| 2 | 2006 | 50 | |
| 3 | 2015 | 30 | |
| 4 | 1994 | 26 | |
| 5 | 2000 | 25 | |
| 6 | 2007 | 13 | |
| 7 | Purging of peripheral blood stem cells yields BCR-ABL-negative autografts in patients with BCR-ABL-positive acute lymphoblastic leukemia. | 1995 | 10 |
| 8 | 2012 | 8 | |
| 9 | Residual leukemia and immunomagnetic bead purging in patients with BCR-ABL-positive acute lymphoblastic leukemia. | 1996 | 8 |
| 10 | 2014 | 7 | |
| 11 | 2007 | 4 | |
| 12 | 2017 | 3 | |
| 13 | 2010 | 2 | |
| 14 | 2017 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 |
About J. Atta
J. Atta is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Oncology, having authored 18 papers that have together received 255 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Viral-associated cancers and disorders (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Genetics (94 citations), Hematology (74 citations), Pathology and Forensic Medicine (115 citations), Neurology (71 citations) and Infectious Diseases (49 citations). J. Atta has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include D. Hoelzer, Hans Martin, Volker Rickerts, E. Lambrecht, Volkmar Jacobi, G. Just‐Nübling, Ralf Bialek, Thomas Elter, David Niemann and Elisabeth Schorb. Their work appears in journals such as Annals of Hematology, Leukemia, Haematologica, Cancer Control and International Journal of Hematology.
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.