Daniel Slíva

5.5k citations
76 papers · 4.0k · h-index 39

Impact in

Papers in

    • Fungal Biology and Applications 33
    • Phytochemistry and Bioactivity Studies 12
    • 14-3-3 protein interactions 5
    • Sphingolipid Metabolism and Signaling 5

Daniel Slíva

76 papers receiving 3.9k citations

Peers

Daniel Slíva
Comparison fields: 5 of 117
  • Pharmacology 1.7k
  • Pharmacology 767
  • Complementary and alternative medicine 555
  • Cancer Research 449
  • Biochemistry 189
Replace Sang Un Choi with:
Sang Un Choi South Korea
Jong Soon Kang South Korea
Soo‐Jin Jeong South Korea
Kishore Banik India
Devivasha Bordoloi India
Byoung‐Mog Kwon South Korea
Yih‐Shou Hsieh Taiwan
Dong‐Oh Moon South Korea
Yinfeng Yang China
Yi‐Hsien Hsieh Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Slíva

Since Specialization
Citations

This map shows the geographic impact of Daniel Slíva'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 Slíva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Slíva more than expected).

Fields of papers citing papers by Daniel Slíva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Slíva. 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 Slíva. The network helps show where Daniel Slíva may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Slíva, 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 Slíva Line = papers co-authored together Daniel Slíva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017313
2 2003166
3 2009162
4 1995156
5 2005150
6 2002139
7 2008137
8 2004131
9 2002123
10 2010113
11 2011111
12 2004106
13 200499
14 200493
15 200990
16 200885
17 201180
18 200277
19 199472
20 200369

About Daniel Slíva

Daniel Slíva is a scholar working on Pharmacology, Molecular Biology, Complementary and alternative medicine, Pharmacology and Oncology, having authored 76 papers that have together received 4.0k indexed citations. Recurring topics across this work include Fungal Biology and Applications (33 papers), Medicinal plant effects and applications (15 papers), Phytochemistry and Bioactivity Studies (12 papers), 14-3-3 protein interactions (5 papers), Sphingolipid Metabolism and Signaling (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), NF-κB Signaling Pathways (5 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Pharmacology (1.7k citations), Pharmacology (767 citations), Complementary and alternative medicine (555 citations), Cancer Research (449 citations) and Biochemistry (189 citations). Daniel Slíva has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Jiahua Jiang, Veronika Slivova, Andrej Jedinak, Anita Thyagarajan, Shailesh Dudhgaonkar, Tatiana Valachovicova, Kevin Harvey, Denis English, Shujie Cheng and Frank P. Lloyd. Their work appears in journals such as International Journal of Oncology, Biochemical and Biophysical Research Communications, Integrative Cancer Therapies, The FASEB Journal and Nutrition and 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.

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