J. Maciejewski
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Acute Myeloid Leukemia Research 7
- Genetics 4
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Hideki Makishima (4 shared papers)Ramon Velasquez Tiu (2 shared papers)Hadrian Szpurka (2 shared papers)Mikkael Aaron Sekeres (3 shared papers)Valeria Visconte (2 shared papers)Anjali S. Advani (2 shared papers)Edward Alan Copelan (2 shared papers)Yuka Sugimoto (1 shared paper)
- Journals
- Leukemia (8 papers)Bone Marrow Transplantation (2 papers)Blood Cancer Journal (2 papers)Pediatric Nephrology (2 papers)Leukemia Research (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
J. Maciejewski
15 papers receiving 617 citations
Peers
Comparison fields: 5 of 48
- Hematology 404
- Genetics 192
- Immunology 105
- Pathology and Forensic Medicine 78
- Cancer Research 57
Countries citing papers authored by J. Maciejewski
This map shows the geographic impact of J. Maciejewski'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. Maciejewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Maciejewski more than expected).
Fields of papers citing papers by J. Maciejewski
This network shows the impact of papers produced by J. Maciejewski. 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. Maciejewski. The network helps show where J. Maciejewski may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Maciejewski, 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 | 252 | |
| 2 | 2015 | 64 | |
| 3 | 2014 | 45 | |
| 4 | 2015 | 41 | |
| 5 | 2007 | 33 | |
| 6 | 2016 | 32 | |
| 7 | 2013 | 26 | |
| 8 | 2016 | 24 | |
| 9 | 2011 | 23 | |
| 10 | 2002 | 23 | |
| 11 | 2003 | 18 | |
| 12 | 2015 | 15 | |
| 13 | 2008 | 14 | |
| 14 | 2015 | 13 | |
| 15 | Carnitine deficiency and hyperlipidemia in hemodialyzed patients Effect of amino acids supplementation | 1992 | 1 |
About J. Maciejewski
J. Maciejewski is a scholar working on Hematology, Genetics, Immunology, Molecular Biology and Oncology, having authored 15 papers that have together received 624 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Immune Cell Function and Interaction (2 papers), Protein Degradation and Inhibitors (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Cancer-related Molecular Pathways (2 papers), DNA Repair Mechanisms (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Clinical Nutrition and Gastroenterology (1 paper). The work is most often cited by research in Hematology (404 citations), Genetics (192 citations), Immunology (105 citations), Pathology and Forensic Medicine (78 citations) and Cancer Research (57 citations). J. Maciejewski has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Hideki Makishima, Ramon Velasquez Tiu, Hadrian Szpurka, Mikkael Aaron Sekeres, Valeria Visconte, Anjali S. Advani, Edward Alan Copelan, Yuka Sugimoto, Ania Jankowska and Ali Tabarroki. Their work appears in journals such as Leukemia, Bone Marrow Transplantation, Blood Cancer Journal, Pediatric Nephrology and Leukemia Research.
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.