J Rádl
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments 23
- Blood groups and transfusion 12
- Immunology top 1%
- Immunodeficiency and Autoimmune Disorders 35
- T-cell and B-cell Immunology 23
- Nephrology top 1%
-
- Monoclonal and Polyclonal Antibodies Research 48
- Genetics top 2%
- Diabetes and associated disorders 19
- Chronic Lymphocytic Leukemia Research 15
-
- Glycosylation and Glycoproteins Research 22
- Co-authors
- J.J. HaaijmanJiří MěsteckýW. HijmansC. ZurcherKarel KithierP BrandtzægJ MasopustF Skvaril
- Cited by
- HematologyImmunologyNephrology
- Journals
- Journal of Immunological Methods (8 papers)The Journal of Immunology (7 papers)Blood (7 papers)
- Partner nations
- NetherlandsUnited StatesCzechia
In The Last Decade
J Rádl
149 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 113
- Hematology 1.7k
- Immunology 2.1k
- Nephrology 568
- Radiology, Nuclear Medicine and Imaging 1.1k
- Genetics 406
Countries citing papers authored by J Rádl
This map shows the geographic impact of J Rádl'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 Rádl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Rádl more than expected).
Fields of papers citing papers by J Rádl
This network shows the impact of papers produced by J Rádl. 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 Rádl. The network helps show where J Rádl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J Rádl, 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 | 2015 | 0 | |
| 2 | 1997 | 120 | |
| 3 | 1997 | 253 | |
| 4 | 1997 | 96 | |
| 5 | 1997 | 2 | |
| 6 | 1996 | 33 | |
| 7 | 1995 | 1 | |
| 8 | 1993 | 7 | |
| 9 | 1992 | 36 | |
| 10 | 1992 | 64 | |
| 11 | 1992 | 5 | |
| 12 | 1990 | 55 | |
| 13 | 1990 | 17 | |
| 14 | 1990 | 22 | |
| 15 | Serum levels and in vitro production of IgA subclasses in patients with primary IgA nephropathy. | 1988 | 48 |
| 16 | 1985 | 18 | |
| 17 | 1984 | 56 | |
| 18 | 1979 | 89 | |
| 19 | Homogeneous antibodies in lethally irradiated and autologous bone marrow reconstituted Rhesus monkeys | 1976 | 9 |
| 20 | 1968 | 30 |
About J Rádl
J Rádl is a scholar working on Hematology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 152 papers that have together received 5.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (48 papers), Immunodeficiency and Autoimmune Disorders (35 papers), T-cell and B-cell Immunology (23 papers), Multiple Myeloma Research and Treatments (23 papers), Glycosylation and Glycoproteins Research (22 papers), Diabetes and associated disorders (19 papers), Chronic Lymphocytic Leukemia Research (15 papers) and Blood groups and transfusion (12 papers). The work is most often cited by research in Hematology (1.7k citations), Immunology (2.1k citations) and Nephrology (568 citations). J Rádl has collaborated with scholars based in Netherlands, United States and Czechia. Frequent co-authors include J.J. Haaijman, Jiří Městecký, W. Hijmans, C. Zurcher, Karel Kithier, P Brandtzæg, J Masopust, F Skvaril, K Kett and K Konecný. Their work appears in journals such as Journal of Immunological Methods, The Journal of Immunology, Blood, Clinical & Experimental Immunology and British Journal of Cancer.
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.