Stefan Schildknecht

4.2k citations
68 papers · 2.8k indexed · h-index 34

Stefan Schildknecht

66 papers receiving 2.8k citations

Peers

Stefan Schildknecht
Comparison fields: 5 of 135
  • Biochemistry 254
  • Developmental Neuroscience 140
  • Physiology 747
  • Neurology 434
  • Neurology 219
Replace Yuanbin Liu with:
Yuanbin Liu China
Masaaki Tokuda Japan
James C. K. Lai United States
Glenn L. Wilson United States
Judy B. de Haan Australia
Shey‐Shing Sheu United States
Dušan Dobrota Slovakia
Harry B. Demopoulos United States
Maria Adelaide Pronzato Italy
Umberto M. Marinari Italy
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Citations per field
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Yuanbin Liu · 1×
Citations per year

Countries citing papers authored by Stefan Schildknecht

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Schildknecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202410
4 20231
5 20231
6 201996
7 201778
8 201553
9 201537
10 201480
11 201359
12 201230
13 201211
14 201213
15 201093
16 200923
17 20096
18
Vor- und Nachdenkliches ... zum wahren Erfolg des 3R-Prinzips
20081
19 200827
20 200817

About Stefan Schildknecht

Stefan Schildknecht is a scholar working on Biochemistry, Physiology and Developmental Neuroscience, having authored 68 papers that have together received 2.8k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (23 papers), Parkinson's Disease Mechanisms and Treatments (13 papers), Eicosanoids and Hypertension Pharmacology (11 papers), Inflammatory mediators and NSAID effects (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Mitochondrial Function and Pathology (6 papers), Pluripotent Stem Cells Research (6 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Biochemistry (254 citations), Developmental Neuroscience (140 citations) and Physiology (747 citations). Stefan Schildknecht has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Marcel Leist, Markus Bachschmid, Volker Ullrich, Andreas Daiber, Dominik Pöltl, Cordula Hirsch, Christiaan Karreman, Diana Scholz, Malte Drescher and Regina Pape. Their work appears in journals such as Archives of Toxicology, Biochemical and Biophysical Research Communications, Redox Biology, Free Radical Biology and Medicine and Antioxidants and Redox Signaling.

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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