Danny Schilling

9 papers receiving 430 citations

Danny Schilling's Hit Papers

Multiple oestradiol functions inhibit ferroptosis and acute kidney injury 2025 · 30 citations
300+1+2Years since publication50100150200

Peers

Danny Schilling
Comparison fields: 5 of 37
  • Biochemistry 93
  • Pulmonary and Respiratory Medicine 127
  • Aging 2
  • Biochemistry 8
  • Nutrition and Dietetics 11
Replace Mika Saksela with:
Mika Saksela Finland
Christopher J. Pynn Germany
Krairerk Athirakul United States
Hilde Laggner Austria
Mohammed Yasin United Kingdom
Linxue Zhang China
Mingxing Yang China
Railmara Pereira da Silva Brazil
Yuying Deng China
Roberta Vezza United States
Danny Schilling relative to Mika Saksela Finland Mika Saksela's profile →
Citations per field
00.5×10×20×30×43×
Mika Saksela · 1×
Citations per year

Countries citing papers authored by Danny Schilling

Since Specialization
Citations

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

Fields of papers citing papers by Danny Schilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Danny Schilling, 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 Danny Schilling Line = papers co-authored together Danny Schilling links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Hydropersulfides inhibit lipid peroxidation and ferroptosis by scavenging radicals
Hit paper breakdown →
2022203
2 202369
3 202460
4 202239
5
Multiple oestradiol functions inhibit ferroptosis and acute kidney injury
Hit paper breakdown →
202530
6 202323
7 20239
8 20224
9 20253

About Danny Schilling

Danny Schilling is a scholar working on Nutrition and Dietetics, Biochemistry, Pulmonary and Respiratory Medicine, Surgery and Nuclear Energy and Engineering, having authored 9 papers that have together received 440 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (2 papers), Selenium in Biological Systems (2 papers), Pancreatic function and diabetes (1 paper) and Sulfur Compounds in Biology (1 paper). The work is most often cited by research in Biochemistry (93 citations), Pulmonary and Respiratory Medicine (127 citations), Aging (2 citations), Biochemistry (8 citations) and Nutrition and Dietetics (11 citations). Danny Schilling has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Uladzimir Barayeu, Tobias P. Dick, Aubry K. Miller, Almut Schulze, José Pedro Friedmann Angeli, Thamara Nishida Xavier da Silva, Lisa Schlicker, Frauke Gräter, Reinhard Kappl and Mohammad Eid. Their work appears in journals such as Nature Chemical Biology, Current Opinion in Chemical Biology, Molecular Cell, Nature and Angewandte Chemie International Edition.

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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