J Kawiak
- Genetics top 5%
- Mesenchymal stem cell research 12
- Chronic Lymphocytic Leukemia Research 7
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 6
- Immunology top 10%
- Immune Cell Function and Interaction 15
- Immunotherapy and Immune Responses 13
- Immune Response and Inflammation 12
- Hematology top 10%
- Rheumatology top 10%
- Osteoarthritis Treatment and Mechanisms 9
- Cell Biology top 10%
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- Tissue Engineering and Regenerative Medicine 10
- Co-authors
- Grażyna HoserStanisław MoskalewskiMałgorzata PiaseckaJoanna Domagała‐KulawikTomasz SkireckiZygmunt PojdaWilliam H. VenselEric A. Barnard
- Cited by
- GeneticsImmunologyHematology
- Partner nations
- PolandUnited StatesAustria
In The Last Decade
J Kawiak
109 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Genetics 160
- Immunology 265
- Hematology 87
- Rheumatology 111
- Cell Biology 110
Countries citing papers authored by J Kawiak
This map shows the geographic impact of J Kawiak'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 Kawiak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Kawiak more than expected).
Fields of papers citing papers by J Kawiak
This network shows the impact of papers produced by J Kawiak. 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 Kawiak. The network helps show where J Kawiak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J Kawiak, 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 | 2019 | 20 | |
| 2 | 2014 | 4 | |
| 3 | 2014 | 50 | |
| 4 | 2013 | 13 | |
| 5 | 2012 | 16 | |
| 6 | 2011 | 1 | |
| 7 | 2010 | 0 | |
| 8 | 2010 | 3 | |
| 9 | Determination of lymphocyte subsets and PCNA activity in sheep experimentally infected with bovine leukemia virus [BLV] | 2003 | 3 |
| 10 | Integrity of spermatozoa and their mitochondrial energetic status in relation to motility of spermatozoa | 2002 | 1 |
| 11 | 2001 | 5 | |
| 12 | 2000 | 7 | |
| 13 | 1999 | 13 | |
| 14 | 1998 | 6 | |
| 15 | Lymphocyte phenotyping in systemic sclerosis: a flow cytometry analysis of lymphocytes in bronchoalveolar lavage fluid. | 1997 | 12 |
| 16 | 1996 | 0 | |
| 17 | 1996 | 14 | |
| 18 | 1988 | 3 | |
| 19 | 1988 | 6 | |
| 20 | The ultrastructural morphology of leukemia L 1210 ascites tumor cells transplanted with different frequency. | 1979 | 1 |
About J Kawiak
J Kawiak is a scholar working on Genetics, Immunology and Hematology, having authored 117 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), Immunotherapy and Immune Responses (13 papers), Mesenchymal stem cell research (12 papers), Immune Response and Inflammation (12 papers), Tissue Engineering and Regenerative Medicine (10 papers), Osteoarthritis Treatment and Mechanisms (9 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers). The work is most often cited by research in Genetics (160 citations), Immunology (265 citations) and Hematology (87 citations). J Kawiak has collaborated with scholars based in Poland, United States and Austria. Frequent co-authors include Grażyna Hoser, Stanisław Moskalewski, Małgorzata Piasecka, Joanna Domagała‐Kulawik, Tomasz Skirecki, Zygmunt Pojda, William H. Vensel, Eric A. Barnard, Eugeniusz K Machaj and Andrzej Weryński.
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.