E. A. Schäfer

2.4k citations
5 papers · 132 · h-index 4

Impact in

Papers in

E. A. Schäfer

5 papers receiving 124 citations

Peers

E. A. Schäfer
Comparison fields: 5 of 54
  • Cardiology and Cardiovascular Medicine 75
  • Epidemiology 22
  • Cellular and Molecular Neuroscience 12
  • Radiology, Nuclear Medicine and Imaging 12
  • Developmental Neuroscience 2
Replace Philipp Markwerth with:
Philipp Markwerth Germany
Xinru Ren China
Aurora Andrade Portugal
Marshall Heradien South Africa
Violeta Irić-Ćupić Serbia
Anne Hedengran Denmark
Hee‐Joon Bae South Korea
Britt-Maria Beckmann Germany
A.J. Williams United Kingdom
A. Kanthan Australia
E. A. Schäfer relative to Philipp Markwerth Germany Philipp Markwerth's profile →
Citations per field
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Philipp Markwerth · 1×
Citations per year

Countries citing papers authored by E. A. Schäfer

Since Specialization
Citations

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

Fields of papers citing papers by E. A. Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. A. Schäfer. 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 E. A. Schäfer. The network helps show where E. A. Schäfer may publish in the future.

Co-authors

The 14 scholars most cited alongside E. A. Schäfer, 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 E. A. Schäfer Line = papers co-authored together E. A. Schäfer links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 201379
2 197344
3 20244
4
An Introduction to the Study of the Endocrine Glands and Internal Secretions: Lane Medical Lectures, 1913
20093
5
Abundant Recurring Slope Lineae (RSL) Following the 2018 Planet-Encircling Dust Event (PEDE)
20192

About E. A. Schäfer

E. A. Schäfer is a scholar working on Cardiology and Cardiovascular Medicine, Ecology, Animal Science and Zoology, Management, Monitoring, Policy and Law and Insect Science, having authored 5 papers that have together received 132 indexed citations. Recurring topics across this work include Animal Ecology and Behavior Studies (1 paper), Insect and Pesticide Research (1 paper), Aeolian processes and effects (1 paper), Cardiac Valve Diseases and Treatments (1 paper), Heart Rate Variability and Autonomic Control (1 paper), Animal Nutrition and Physiology (1 paper) and Landslides and related hazards (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (75 citations), Epidemiology (22 citations), Cellular and Molecular Neuroscience (12 citations), Radiology, Nuclear Medicine and Imaging (12 citations) and Developmental Neuroscience (2 citations). E. A. Schäfer has collaborated with scholars based in United States and Germany. Frequent co-authors include Wolfgang Schiller, Armin Welz, Joachim Kötting, C HAMM, Andreas Beckmann, Christof Veit, Karl E. Friedl, Sarah Sutton, Christopher L. Chapman and John W. Castellani. Their work appears in journals such as Toxicology and Applied Pharmacology, European Journal of Cardio-Thoracic Surgery, BMJ Military Health, Medical Entomology and Zoology and Lunar and Planetary Science Conference.

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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