Nina Schoene

2.9k citations
11 papers · 2.2k indexed · 1 hit paper · h-index 9
Topics
Cardiovascular and exercise physiology (5 papers)Cardiovascular Function and Risk Factors (4 papers)Heart Rate Variability and Autonomic Control (3 papers)
Partner nations
GermanyUnited States

In The Last Decade

Nina Schoene

10 papers receiving 2.1k citations

Hit Papers

Effect of Exercise on Coronary Endothelial Function in Pa...20002026200820172000250500750

Peers

Nina Schoene
Comparison fields: 5 of 99
  • Cardiology and Cardiovascular Medicine 1.3k
  • Complementary and alternative medicine 686
  • Physiology 538
  • Nephrology 351
  • Surgery 269
Replace Kristen Jablonski with:
Kristen Jablonski United States
G. O’Driscoll Australia
Eduard Fiehn Germany
Johannes Pleiner Austria
Stephan Gielen Germany
Jan Filipovský Czechia
Robinson Joannidès France
Kazuhíde Oginö Japan
S H Kubo United States
Dimitri Georgakopoulos United Kingdom
Nina Schoene relative to Kristen Jablonski United States Kristen Jablonski's profile →
Citations per field
00.5×4.2×
Kristen Jablonski · 1×
Citations per year

Countries citing papers authored by Nina Schoene

Since Specialization
Citations

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

Fields of papers citing papers by Nina Schoene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Schoene

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Schoene. A scholar is included among the top collaborators of Nina Schoene based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nina Schoene. Nina Schoene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 35
2 34
3 28
4 156
5 457
6 214
7 207
8 1
9
Effect of Exercise on Coronary Endothelial Function in Patients with Coronary Artery Diseasebreakdown →
962
10 71
11 0

About Nina Schoene

Nina Schoene is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 11 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (5 papers), Cardiovascular Function and Risk Factors (4 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Complementary and alternative medicine (686 citations), Cardiology and Cardiovascular Medicine (1.3k citations) and Nephrology (351 citations). Nina Schoene has collaborated with scholars based in Germany and United States. Frequent co-authors include Gerhard Schüler, Rainer Hambrecht, Sandra Erbs, Stephan Gielen, Axel Linke, Stephan Gielen, Wolfram Doehner, Francisco Leyva‐Leon, Darrell V. Pavitt and Andrew J.S. Coats. Their work appears in journals such as New England Journal of Medicine, Circulation and Journal of the American College of Cardiology.

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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