Maciej Hałasa

1.2k total citations
35 papers, 913 citations indexed

About

Maciej Hałasa is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Maciej Hałasa has authored 35 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Genetics and 5 papers in Infectious Diseases. Recurrent topics in Maciej Hałasa's work include Mesenchymal stem cell research (9 papers), Pluripotent Stem Cells Research (8 papers) and Viral gastroenteritis research and epidemiology (5 papers). Maciej Hałasa is often cited by papers focused on Mesenchymal stem cell research (9 papers), Pluripotent Stem Cells Research (8 papers) and Viral gastroenteritis research and epidemiology (5 papers). Maciej Hałasa collaborates with scholars based in Poland, United States and Canada. Maciej Hałasa's co-authors include Bogusław Machaliński, Mariusz Z. Ratajczak, Magda Kucia, Ewa Zuba‐Surma, Wojciech Wojakowski, Magdalena Baśkiewicz‐Masiuk, Marcin Wysoczynski, Edyta Paczkowska, R. Czajka and Krzysztof Safranow and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Journal of the American College of Cardiology.

In The Last Decade

Maciej Hałasa

35 papers receiving 871 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maciej Hałasa Poland 11 487 331 213 83 81 35 913
Zhu Sweden 11 248 0.5× 194 0.6× 150 0.7× 124 1.5× 31 0.4× 98 833
Gerardo A. Mirkin Argentina 17 313 0.6× 356 1.1× 186 0.9× 314 3.8× 22 0.3× 30 1.2k
Michael Coleman United States 21 936 1.9× 269 0.8× 351 1.6× 50 0.6× 11 0.1× 40 1.7k
L. Wang China 18 362 0.7× 236 0.7× 158 0.7× 145 1.7× 18 0.2× 40 941
Sébastien Banzet France 19 745 1.5× 130 0.4× 123 0.6× 43 0.5× 42 0.5× 62 1.3k
R. Jung Germany 12 165 0.3× 161 0.5× 124 0.6× 82 1.0× 127 1.6× 16 864
Ryoung‐Hoon Jeon South Korea 16 447 0.9× 214 0.6× 215 1.0× 381 4.6× 16 0.2× 45 1.1k
Dalia Waldman Israel 11 560 1.1× 248 0.7× 193 0.9× 77 0.9× 85 1.0× 18 1.1k
Ana Leda F. Longhini Brazil 20 265 0.5× 111 0.3× 72 0.3× 314 3.8× 78 1.0× 42 934
Véronique David France 19 523 1.1× 348 1.1× 127 0.6× 54 0.7× 408 5.0× 40 1.6k

Countries citing papers authored by Maciej Hałasa

Since Specialization
Citations

This map shows the geographic impact of Maciej Hałasa'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 Maciej Hałasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maciej Hałasa more than expected).

Fields of papers citing papers by Maciej Hałasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maciej Hałasa. 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 Maciej Hałasa. The network helps show where Maciej Hałasa may publish in the future.

Co-authorship network of co-authors of Maciej Hałasa

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

All Works

20 of 20 papers shown
4.
Rogińska, Dorota, et al.. (2014). Mixed chimerism and transplant tolerance are not effectively induced in C3a-deficient mice. Experimental Hematology. 43(1). 14–22. 1 indexed citations
5.
Hałasa, Maciej, et al.. (2013). Mixed chimerism induction influences cytokine release from chimeric mice cells. Transplant Immunology. 29(1-4). 130–137. 2 indexed citations
6.
Hałasa, Maciej, et al.. (2011). Different strategies of mixed chimerism induction may determine stem/progenitor cell populations in recipient mice. Transplant Immunology. 26(1). 34–41. 4 indexed citations
7.
Baśkiewicz‐Masiuk, Magdalena, Katarzyna Grymuła, Maciej Hałasa, et al.. (2010). An optimization of protocol for mixed chimerism induction in mice model.. Folia Histochemica et Cytobiologica. 47(3). 395–400. 5 indexed citations
8.
Baśkiewicz‐Masiuk, Magdalena, et al.. (2009). Induction of Mixed Chimerism in Mice by Employing Different Conditioning Protocols and Bone Marrow Cell Transplantation. Transplantation Proceedings. 41(5). 1894–1899. 8 indexed citations
9.
Baśkiewicz‐Masiuk, Magdalena, et al.. (2008). An efficient two-step method to purify very small embryonic-like (VSEL) stem cells from umbilical cord blood (UCB).. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Hałasa, Maciej, et al.. (2008). An efficient two-step method to purify very small embryonic-like (VSEL) stem cells from umbilical cord blood (UCB).. Folia Histochemica et Cytobiologica. 46(2). 239–43. 38 indexed citations
11.
Kordek, Agnieszka, et al.. (2008). Early detection of an early onset infection in the neonate based on measurements of procalcitonin and C-reactive protein concentrations in cord blood. Clinical Chemistry and Laboratory Medicine (CCLM). 46(8). 1143–8. 32 indexed citations
12.
Baumert, Bartłomiej, Katarzyna Grymuła, Violetta Dziedziejko, et al.. (2008). An optimization of hematopoietic stem and progenitor cell isolation for scientific and clinical purposes by the application of a new parameter determining the hematopoietic graft efficacy.. Folia Histochemica et Cytobiologica. 46(3). 299–305. 9 indexed citations
13.
Wojakowski, Wojciech, Michał Tendera, Magda Kucia, et al.. (2008). Mobilization of Bone Marrow-Derived Oct-4+ SSEA-4+ Very Small Embryonic-Like Stem Cells in Patients With Acute Myocardial Infarction. Journal of the American College of Cardiology. 53(1). 1–9. 180 indexed citations
14.
Kucia, Magda, Edyta Paczkowska, Dorota Koziarska, et al.. (2007). Clincial Evidence That Very Small Embryonic Like (VSEL) Stem Cells Are Mobilizaed into Peripheral Blood in Patents after Stroke.. Blood. 110(11). 3705–3705. 1 indexed citations
15.
Zapolska‐Downar, Danuta, Aldona Siennicka, Kornel Chełstowski, et al.. (2006). Is there an association between angiotensin-converting enzyme gene polymorphism and functional activation of monocytes and macrophage in young patients with essential hypertension?. Journal of Hypertension. 24(8). 1565–1573. 20 indexed citations
16.
Kucia, Magda, Maciej Hałasa, Marcin Wysoczynski, et al.. (2006). Morphological and molecular characterization of novel population of CXCR4+ SSEA-4+ Oct-4+ very small embryonic-like cells purified from human cord blood – preliminary report. Leukemia. 21(2). 297–303. 284 indexed citations
17.
Machaliński, Bogusław, Edyta Paczkowska, Maciej Hałasa, et al.. (2006). Expression of Stem Cell Markers on Mononuclear Cells Derived From Heparinized Cadaveric Organ Donors Before and After Disconnection From the Respirator. Transplantation Proceedings. 38(1). 16–19. 2 indexed citations
18.
Kucia, Magda, Maciej Hałasa, Marcin Wysoczynski, et al.. (2006). A Novel Population of Oct-4+ SSEA-1+ CXCR4+ CD34+ CD133+ Lin− CD45− Very Small Embryonic-Like (VSEL) Stem Cells Identified in Human Cord Blood.. Blood. 108(11). 3195–3195. 2 indexed citations
19.
Pelcher, Lawrence E. & Maciej Hałasa. (1979). A comparative study of the alkaline disassembly of two strains of tobacco mosaic virus. Virology. 98(2). 489–492. 7 indexed citations
20.
Pelcher, Lawrence E. & Maciej Hałasa. (1979). Reassembly of particles using the RNA from partially disassembled tobacco mosaic virus. Virology. 97(2). 488–491. 3 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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