Daniel Kuba
Impact in
-
- Reproductive System and Pregnancy
- Immune Cell Function and Interaction
- Transplantation top 10%
Papers in
- Immunology 12
- Reproductive System and Pregnancy 9
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Surgery 8
- Organ Transplantation Techniques and Outcomes 4
- Testicular diseases and treatments 3
- Co-authors
- K Poláková (7 shared papers)Gustáv Russ (2 shared papers)G Russ (3 shared papers)Zuzana Žilinská (5 shared papers)Marián Kukan (3 shared papers)Vladimı́ra Ďurmanová (5 shared papers)Milan Buc (3 shared papers)Katarı́na Vajdová (3 shared papers)
In The Last Decade
Daniel Kuba
28 papers receiving 297 citations
Peers
Comparison fields: 5 of 57
- Immunology 171
- Transplantation 18
- Reproductive Medicine 48
- Agronomy and Crop Science 27
- Public Health, Environmental and Occupational Health 63
Countries citing papers authored by Daniel Kuba
This map shows the geographic impact of Daniel Kuba'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 Daniel Kuba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kuba more than expected).
Fields of papers citing papers by Daniel Kuba
This network shows the impact of papers produced by Daniel Kuba. 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 Daniel Kuba. The network helps show where Daniel Kuba may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Kuba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 38 | |
| 2 | 2004 | 33 | |
| 3 | 2020 | 31 | |
| 4 | 2008 | 25 | |
| 5 | Modulation of HLA-G expression. | 2007 | 21 |
| 6 | 2014 | 14 | |
| 7 | 2019 | 14 | |
| 8 | 2015 | 12 | |
| 9 | 2015 | 11 | |
| 10 | 2000 | 11 | |
| 11 | 2012 | 11 | |
| 12 | Familial testicular cancer and developmental anomalies. | 1997 | 11 |
| 13 | 2013 | 10 | |
| 14 | 2004 | 9 | |
| 15 | 2011 | 9 | |
| 16 | 2007 | 9 | |
| 17 | 2016 | 6 | |
| 18 | 2001 | 5 | |
| 19 | 2016 | 4 | |
| 20 | HLA class II allele frequencies in type 1A diabetes mellitus Slovak patients. | 2006 | 4 |
About Daniel Kuba
Daniel Kuba is a scholar working on Immunology, Surgery, Public Health, Environmental and Occupational Health, Epidemiology and Hepatology, having authored 31 papers that have together received 303 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (9 papers), Organ Transplantation Techniques and Outcomes (4 papers), Endometriosis Research and Treatment (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Testicular diseases and treatments (3 papers), Pregnancy and Medication Impact (3 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Immunology (171 citations), Transplantation (18 citations), Reproductive Medicine (48 citations), Agronomy and Crop Science (27 citations) and Public Health, Environmental and Occupational Health (63 citations). Daniel Kuba has collaborated with scholars based in Slovakia, Spain and Italy. Frequent co-authors include K Poláková, Gustáv Russ, G Russ, Zuzana Žilinská, Marián Kukan, Vladimı́ra Ďurmanová, Milan Buc, Katarı́na Vajdová, Anton Kebis and Tibor Hlavatý. Their work appears in journals such as Leukemia Research, Immunobiology, Cryobiology, Mutation research. Fundamental and molecular mechanisms of mutagenesis and Langenbeck s Archives of Surgery.
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.