Marek Honczarenko
- Genetics top 1%
- Immunology top 2%
- Immunotherapy and Immune Responses 11
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 4
- Hematology top 2%
- Platelet Disorders and Treatments 3
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 7
- Oncology top 5%
- Chemokine receptors and signaling 16
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- HIV Research and Treatment 5
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- Systemic Lupus Erythematosus Research 4
- Co-authors
- Leslie E. SilbersteinAleksandra M. GlodekYi LeMariusz Z. RatajczakMarcin ŚwierkowskiIonita GhiranJanina RatajczakAnna Janowska‐Wieczorek
- Cited by
- GeneticsImmunologyHematology
- Partner nations
- United StatesPolandGermany
In The Last Decade
Marek Honczarenko
31 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Genetics 682
- Immunology 1.0k
- Hematology 488
- Immunology and Allergy 187
- Oncology 720
Countries citing papers authored by Marek Honczarenko
This map shows the geographic impact of Marek Honczarenko'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 Marek Honczarenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Honczarenko more than expected).
Fields of papers citing papers by Marek Honczarenko
This network shows the impact of papers produced by Marek Honczarenko. 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 Marek Honczarenko. The network helps show where Marek Honczarenko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marek Honczarenko, 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 | 2012 | 1 | |
| 2 | 2009 | 66 | |
| 3 | 2008 | 30 | |
| 4 | 2007 | 53 | |
| 5 | 2006 | 14 | |
| 6 | 2006 | 1 | |
| 7 | 2006 | 71 | |
| 8 | 2005 | 41 | |
| 9 | 2005 | 294 | |
| 10 | 2005 | 27 | |
| 11 | Human Bone Marrow Stromal Cells Express a Distinct Set of Biologically Functional Chemokine Receptorsbreakdown → | 2005 | 564 |
| 12 | 2004 | 7 | |
| 13 | 2003 | 72 | |
| 14 | 2003 | 187 | |
| 15 | 2002 | 52 | |
| 16 | 2000 | 26 | |
| 17 | 2000 | 9 | |
| 18 | 2000 | 30 | |
| 19 | 1999 | 46 | |
| 20 | [Isolation of human mononuclear cells from bone marrow, peripheral blood and cord blood using Ficoll-Paque (Pharmacia) and Gradisol L (Polfa). Comparative study]. | 1998 | 3 |
About Marek Honczarenko
Marek Honczarenko is a scholar working on Immunology and Allergy, Virology and Immunology, having authored 31 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (16 papers), Immunotherapy and Immune Responses (11 papers), T-cell and B-cell Immunology (8 papers), Cell Adhesion Molecules Research (7 papers), HIV Research and Treatment (5 papers), Immune Cell Function and Interaction (4 papers), Systemic Lupus Erythematosus Research (4 papers) and Platelet Disorders and Treatments (3 papers). The work is most often cited by research in Genetics (682 citations), Immunology (1.0k citations) and Hematology (488 citations). Marek Honczarenko has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include Leslie E. Silberstein, Aleksandra M. Glodek, Yi Le, Mariusz Z. Ratajczak, Marcin Świerkowski, Ionita Ghiran, Janina Ratajczak, Anna Janowska‐Wieczorek, Marcin Majka and Ryan Reca.
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.