Daniel Kuba

438 citations
28 papers · 370 · h-index 11

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Reproductive System and Pregnancy
    • Immune Cell Function and Interaction

Papers in

    • Renal Transplantation Outcomes and Treatments 5
    • Immune Cell Function and Interaction 4
    • Reproductive System and Pregnancy 4

Daniel Kuba

28 papers receiving 364 citations

Peers

Daniel Kuba
Comparison fields: 5 of 59
  • Transplantation 37
  • Immunology 113
  • Genetics 17
  • Oncology 31
  • Genetics 36
Replace Bingyi Shi with:
Bingyi Shi China
Koichiro Uchida Japan
Xue Lin United States
Cuc Davis United States
Diego Guerrieri Argentina
Tomoko Yokosuka Japan
Anh Thu Nguyen‐Lefebvre United States
Rodrigo González Chile
Hannah N. Coleman United States
Khodor I. Abou‐Daya United States
Daniel Kuba relative to Bingyi Shi China Bingyi Shi's profile →
Citations per field
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Bingyi Shi · 1×
Citations per year

Countries citing papers authored by Daniel Kuba

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Kuba Line = papers co-authored together Daniel Kuba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202258
2 200339
3 200434
4 202032
5 200825
6
Modulation of HLA-G expression.
200721
7 201916
8 201414
9 201512
10
Familial testicular cancer and developmental anomalies.
199711
11 200011
12 201211
13 201511
14 20049
15 20079
16 20119
17 20139
18 20166
19 20015
20 20225

About Daniel Kuba

Daniel Kuba is a scholar working on Transplantation, Immunology, Surgery, Genetics and Otorhinolaryngology, having authored 28 papers that have together received 370 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), Immune Cell Function and Interaction (4 papers), Reproductive System and Pregnancy (4 papers), Epigenetics and DNA Methylation (2 papers), Testicular diseases and treatments (2 papers), Inflammatory Bowel Disease (2 papers) and Trace Elements in Health (1 paper). The work is most often cited by research in Transplantation (37 citations), Immunology (113 citations), Genetics (17 citations), Oncology (31 citations) and Genetics (36 citations). Daniel Kuba has collaborated with scholars based in Slovakia, Italy and Czechia. Frequent co-authors include Katarína Poláková, Gustáv Russ, G Russ, Zuzana Žilinská, Vladimı́ra Ďurmanová, Marián Kukan, Anton Kebis, Milan Buc, Katarína Šoltýs and Hana Drahovská. 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.

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