Daniel Slíva

5.4k citations
72 papers · 3.8k indexed · h-index 38

Impact in

Papers in

    • Fungal Biology and Applications 30
    • Phytochemistry and Bioactivity Studies 15
    • Pharmacological Effects of Natural Compounds 5
    • Sphingolipid Metabolism and Signaling 5
    • 14-3-3 protein interactions 5

Daniel Slíva

72 papers receiving 3.7k citations

Peers

Daniel Slíva
Comparison fields: 5 of 118
  • Pharmacology 1.6k
  • Pharmacology 777
  • Complementary and alternative medicine 554
  • Cancer Research 492
  • Biochemistry 186
Replace Sang Un Choi with:
Sang Un Choi South Korea
Jong Soon Kang South Korea
Soo‐Jin Jeong South Korea
Seong‐Su Han United States
Devivasha Bordoloi India
Byoung‐Mog Kwon South Korea
Dong‐Oh Moon South Korea
Chengjian Zheng China
Woong Mo Yang South Korea
Xiaolin Zi United States
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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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017298
2 2003153
3 1995150
4 2009142
5 2005135
6 2002135
7 2004128
8 2008124
9 2002121
10 2011105
11 2010105
12 2004103
13 200486
14 200486
15 200984
16 200882
17 201177
18 200275
19 199472
20 200367

About Daniel Slíva

Daniel Slíva is a scholar working on Pharmacology, Molecular Biology, Complementary and alternative medicine, Pharmacology and Oncology, having authored 72 papers that have together received 3.8k indexed citations. Recurring topics across this work include Fungal Biology and Applications (30 papers), Medicinal plant effects and applications (16 papers), Phytochemistry and Bioactivity Studies (15 papers), Sphingolipid Metabolism and Signaling (5 papers), Pharmacological Effects of Natural Compounds (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), 14-3-3 protein interactions (5 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Pharmacology (1.6k citations), Pharmacology (777 citations), Complementary and alternative medicine (554 citations), Cancer Research (492 citations) and Biochemistry (186 citations). Daniel Slíva has collaborated with scholars based in United States, Sweden and Czechia. Frequent co-authors include Jiahua Jiang, Veronika Slivova, Andrej Jedinak, Shailesh Dudhgaonkar, Anita Thyagarajan, 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, Nutrition and Cancer and Journal of Biological Chemistry.

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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