Sonja Sollner

441 citations
9 papers · 386 · h-index 9

Impact in

  • Toxicology top 5%
    • Bioactive Compounds and Antitumor Agents
    • Microbial Metabolism and Applications

Papers in

    • Genomics, phytochemicals, and oxidative stress 4
    • Coenzyme Q10 studies and effects 2
    • bioluminescence and chemiluminescence research 2
    • Photosynthetic Processes and Mechanisms 2
    • Polyamine Metabolism and Applications 2
    • Sirtuins and Resveratrol in Medicine 2

Sonja Sollner

9 papers receiving 379 citations

Peers

Sonja Sollner
Comparison fields: 5 of 67
  • Toxicology 34
  • Biotechnology 55
  • Geriatrics and Gerontology 13
  • Health, Toxicology and Mutagenesis 51
  • Molecular Biology 229
Replace Chi‐Tsai Lin with:
Chi‐Tsai Lin Taiwan
Tong Shen China
Donald A. Griffin United States
Mohan Pandi India
Maria Benedetta Fadda Italy
Rangarajulu Senthil Kumaran South Korea
Alireza Ghasempour Iran
Mengyuan Jiang China
Vangelis Smyrniotopoulos Greece
Nadja Cachet France
Sonja Sollner relative to Chi‐Tsai Lin Taiwan Chi‐Tsai Lin's profile →
Citations per field
00.5×10×13×
Chi‐Tsai Lin · 1×
Citations per year

Countries citing papers authored by Sonja Sollner

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Sollner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Sonja Sollner, 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 Sonja Sollner Line = papers co-authored together Sonja Sollner links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 200788
2 200558
3 200652
4 200745
5 200638
6 200836
7 200929
8 200929
9 200911

About Sonja Sollner

Sonja Sollner is a scholar working on Molecular Biology, Geriatrics and Gerontology, Epidemiology, Cell Biology and Genetics, having authored 9 papers that have together received 386 indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (4 papers), Coenzyme Q10 studies and effects (2 papers), bioluminescence and chemiluminescence research (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Autophagy in Disease and Therapy (2 papers), Bacterial Genetics and Biotechnology (2 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Polyamine Metabolism and Applications (2 papers). The work is most often cited by research in Toxicology (34 citations), Biotechnology (55 citations), Geriatrics and Gerontology (13 citations), Health, Toxicology and Mutagenesis (51 citations) and Molecular Biology (229 citations). Sonja Sollner has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Peter Macheroux, Sigrid Deller, Bruce A. Palfey, Ilian Jelesarov, Georg Gübitz, Andrzej Łyskowski, Teresa B. Fitzpatrick, Christoph Kratky, Karl Gruber and Ruth Nebauer. Their work appears in journals such as Biochemistry, FEBS Journal, FEMS Yeast Research, EMBO Reports and Enzyme and Microbial Technology.

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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