Daniel Kuba
Impact in
-
- Reproductive System and Pregnancy
- Immune Cell Function and Interaction
- Transplantation top 10%
Papers in
- Immunology 11
- Reproductive System and Pregnancy 10
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
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- Pregnancy and Medication Impact 4
- Co-authors
- K Poláková (7 shared papers)Gustáv Russ (2 shared papers)G Russ (3 shared papers)Zuzana Žilinská (5 shared papers)Vladimı́ra Ďurmanová (5 shared papers)Marián Kukan (3 shared papers)Katarı́na Vajdová (3 shared papers)Anton Kebis (5 shared papers)
In The Last Decade
Daniel Kuba
25 papers receiving 284 citations
Peers
Comparison fields: 5 of 61
- Immunology 167
- Transplantation 20
- Reproductive Medicine 54
- Agronomy and Crop Science 28
- Obstetrics and Gynecology 21
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 38 | |
| 2 | 2004 | 32 | |
| 3 | 2020 | 29 | |
| 4 | 2008 | 24 | |
| 5 | Modulation of HLA-G expression. | 2007 | 21 |
| 6 | 2014 | 14 | |
| 7 | 2019 | 13 | |
| 8 | 2015 | 12 | |
| 9 | 2012 | 11 | |
| 10 | 2015 | 11 | |
| 11 | 2000 | 11 | |
| 12 | Familial testicular cancer and developmental anomalies. | 1997 | 10 |
| 13 | 2004 | 9 | |
| 14 | 2011 | 9 | |
| 15 | 2013 | 9 | |
| 16 | 2007 | 9 | |
| 17 | 2016 | 6 | |
| 18 | 2001 | 5 | |
| 19 | 2016 | 4 | |
| 20 | 2001 | 3 |
About Daniel Kuba
Daniel Kuba is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Surgery, Epidemiology and Molecular Biology, having authored 29 papers that have together received 291 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (10 papers), Pregnancy and Medication Impact (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Endometriosis Research and Treatment (3 papers), Testicular diseases and treatments (3 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Immunology (167 citations), Transplantation (20 citations), Reproductive Medicine (54 citations), Agronomy and Crop Science (28 citations) and Obstetrics and Gynecology (21 citations). Daniel Kuba has collaborated with scholars based in Slovakia, Italy and Spain. Frequent co-authors include K Poláková, Gustáv Russ, G Russ, Zuzana Žilinská, Vladimı́ra Ďurmanová, Marián Kukan, Katarı́na Vajdová, Anton Kebis, J Matośka and Milan Buc. Their work appears in journals such as Leukemia Research, Cryobiology, Immunobiology, Scientific Reports and Physiological Research.
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.