Daniel Schachner

1.0k citations
26 papers · 870 · h-index 19

Impact in

Papers in

    • Natural product bioactivities and synthesis 7
    • Genomics, phytochemicals, and oxidative stress 3
    • Phytochemical compounds biological activities 2
    • Cholesterol and Lipid Metabolism 4

Daniel Schachner

26 papers receiving 858 citations

Peers

Daniel Schachner
Comparison fields: 5 of 102
  • Geriatrics and Gerontology 65
  • Biochemistry 76
  • Pharmacology 60
  • Molecular Biology 457
  • Cancer Research 93
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Menghao Huang China
Mi‐Young Jeong South Korea
Gang Luo China
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Balázs Veres Hungary
Shan Miao China
Rahul K. Lall United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Schachner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schachner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013134
2 200978
3 200972
4 201652
5 201352
6 201048
7 201242
8 202038
9 201136
10 200634
11 201430
12 201028
13 201425
14 201724
15 201823
16 201323
17 201622
18 201121
19 201320
20 201718

About Daniel Schachner

Daniel Schachner is a scholar working on Molecular Biology, Surgery, Cancer Research, Organic Chemistry and Oncology, having authored 26 papers that have together received 870 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (7 papers), Cholesterol and Lipid Metabolism (4 papers), Quinazolinone synthesis and applications (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Phytochemical compounds biological activities (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Geriatrics and Gerontology (65 citations), Biochemistry (76 citations), Pharmacology (60 citations), Molecular Biology (457 citations) and Cancer Research (93 citations). Daniel Schachner has collaborated with scholars based in Austria, Poland and Germany. Frequent co-authors include Elke H. Heiß, Verena M. Dirsch, Atanas G. Atanasov, Kristin Zimmermann, Ernst R. Werner, Angela Ladurner, Johannes M. Breuss, Angelika M. Vollmar, Dan C. Sorescu and Jürgen Ziegler. Their work appears in journals such as Journal of Natural Products, Scientific Reports, Molecular Nutrition & Food Research, Cardiovascular Research and Free Radical Biology and Medicine.

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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