J. Maciejewski

759 total citations
10 papers, 345 citations indexed

About

J. Maciejewski is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, J. Maciejewski has authored 10 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in J. Maciejewski's work include Acute Myeloid Leukemia Research (4 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). J. Maciejewski is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). J. Maciejewski collaborates with scholars based in United States, Spain and Japan. J. Maciejewski's co-authors include Hadrian Szpurka, Ramón V. Tiu, Hideki Makishima, Edward A. Copelan, Ania Jankowska, Edy Hasrouni, Yogen Saunthararajah, Sara Teresinha Olalla Saad, Anjali S. Advani and Valeria Visconte and has published in prestigious journals such as Transplantation, Leukemia and Bone Marrow Transplantation.

In The Last Decade

J. Maciejewski

10 papers receiving 341 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Maciejewski United States 7 259 180 107 40 34 10 345
Carlos Hader United States 5 215 0.8× 67 0.4× 114 1.1× 51 1.3× 29 0.9× 7 299
S. Alvi United States 3 368 1.4× 193 1.1× 110 1.0× 28 0.7× 86 2.5× 4 446
M-C. Kuo Taiwan 6 321 1.2× 164 0.9× 155 1.4× 27 0.7× 16 0.5× 9 377
Samuel Quentin France 7 182 0.7× 132 0.7× 87 0.8× 34 0.8× 23 0.7× 9 288
T. Suzuki Japan 6 227 0.9× 112 0.6× 84 0.8× 14 0.3× 22 0.6× 12 313
Nicole Kucine United States 6 140 0.5× 203 1.1× 142 1.3× 80 2.0× 58 1.7× 25 386
Chang‐Liang Lai Taiwan 7 347 1.3× 169 0.9× 161 1.5× 32 0.8× 12 0.4× 10 408
Ravin J. Garg United States 9 217 0.8× 82 0.5× 200 1.9× 11 0.3× 47 1.4× 11 367
Jayashree Motwani United Kingdom 9 238 0.9× 72 0.4× 71 0.7× 17 0.4× 38 1.1× 24 324
Emilia Scalzulli Italy 10 271 1.0× 120 0.7× 159 1.5× 15 0.4× 17 0.5× 60 358

Countries citing papers authored by J. Maciejewski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of J. Maciejewski

This figure shows the co-authorship network connecting the top 25 collaborators of J. Maciejewski. A scholar is included among the top collaborators of J. Maciejewski 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 J. Maciejewski. J. Maciejewski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Vishwakarma, Bandana Ajay, Hideki Makishima, Naoko Hosono, et al.. (2015). Runx1 repression by histone deacetylation is critical for Setbp1-induced mouse myeloid leukemia development. Leukemia. 30(1). 200–208. 33 indexed citations
2.
Przychodzen, B, Brittney Dienes, Ana Isabel Antón, et al.. (2015). Prognostic signature and clonality pattern of recurrently mutated genes in inactive chronic lymphocytic leukemia. Blood Cancer Journal. 5(8). e342–e342. 12 indexed citations
3.
Traina, Fabı́ola, Valeria Visconte, Paul Elson, et al.. (2013). Impact of molecular mutations on treatment response to DNMT inhibitors in myelodysplasia and related neoplasms. Leukemia. 28(1). 78–87. 219 indexed citations
4.
Fischer, Andréas, Gordon Brestrich, Marcin W. Włodarski, et al.. (2012). Cytomegalovirus-Specific Regulatory T Cells and their Role in Repetitive CMV Infections in Solid Organ Transplanted Patients. Transplantation. 94(10S). 111–111. 1 indexed citations
5.
Tiu, Ramón V., Lukasz P. Gondek, Jin Hoe Huh, et al.. (2009). P035 Improvement in cytogenetic diagnosis and clinical prognostication using SNP-A karyotyping in combination with metaphase cytogenetics in MDS, MDS/MPD and secondary AML. Leukemia Research. 33. S78–S79. 1 indexed citations
6.
7.
Jankowska, Anna, et al.. (2007). Base excision repair dysfunction in a subgroup of patients with myelodysplastic syndrome. Leukemia. 22(3). 551–558. 30 indexed citations
8.
Lee, J. Jack, Hoon Kook, J. Maciejewski, et al.. (2003). Constitution and telomere dynamics of bone marrow stromal cells in patients undergoing allogeneic bone marrow transplantation. Bone Marrow Transplantation. 32(9). 947–952. 17 indexed citations
9.
Zachwieja, Jacek, et al.. (2002). Intracellular cytokines of peripheral blood lymphocytes in nephrotic syndrome. Pediatric Nephrology. 17(9). 733–740. 18 indexed citations
10.
Zachwieja, J, R. A. Donckerwolcke, M. Durán, & J. Maciejewski. (1992). Carnitine deficiency and hyperlipidemia in hemodialyzed patients Effect of amino acids supplementation. Pediatric Nephrology. 6(5). 186. 1 indexed citations

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.

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