Rudolf L. Riepl

84 total papers · 2.2k total citations
50 papers, 1.7k citations indexed

About

Rudolf L. Riepl is a scholar working on Surgery, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Rudolf L. Riepl has authored 50 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 15 papers in Cellular and Molecular Neuroscience and 13 papers in Physiology. Recurrent topics in Rudolf L. Riepl's work include Neuropeptides and Animal Physiology (14 papers), Diet and metabolism studies (8 papers) and Gastrointestinal motility and disorders (8 papers). Rudolf L. Riepl is often cited by papers focused on Neuropeptides and Animal Physiology (14 papers), Diet and metabolism studies (8 papers) and Gastrointestinal motility and disorders (8 papers). Rudolf L. Riepl collaborates with scholars based in Germany, United States and Switzerland. Rudolf L. Riepl's co-authors include M. Tschöp, Christian Folwaczny, R. Landgraf, Stefanie Friedrich, Martin Bidlingmaier, M. Toepfer, Gunther Hartmann, Hubert Hautmann, Stefan Endres and R. Fischer and has published in prestigious journals such as Gastroenterology, PLoS ONE and Diabetologia.

In The Last Decade

Rudolf L. Riepl

47 papers receiving 1.7k citations

Hit Papers

Post-prandial decrease of... 2001 2026 2009 2017 2001 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rudolf L. Riepl 722 634 450 370 263 50 1.7k
M. A. Ghatei 444 0.6× 407 0.6× 332 0.7× 304 0.8× 156 0.6× 29 1.7k
Per Grybäck 676 0.9× 644 1.0× 369 0.8× 531 1.4× 50 0.2× 43 1.7k
Esben Thyssen Vestergaard 604 0.8× 688 1.1× 362 0.8× 206 0.6× 138 0.5× 73 1.5k
Tilman T. Zittel 351 0.5× 329 0.5× 233 0.5× 830 2.2× 91 0.3× 66 1.8k
S. R. Bloom 253 0.4× 446 0.7× 281 0.6× 524 1.4× 155 0.6× 78 2.0k
Jörg Glatzle 265 0.4× 291 0.5× 227 0.5× 464 1.3× 85 0.3× 53 1.4k
J. R. Oliver 389 0.5× 289 0.5× 135 0.3× 341 0.9× 77 0.3× 43 1.7k
Richard B. Lynn 1.2k 1.7× 711 1.1× 659 1.5× 330 0.9× 51 0.2× 45 2.3k
Kevin Lee 458 0.6× 354 0.6× 271 0.6× 209 0.6× 110 0.4× 39 1.4k
Maralyn Druce 1.1k 1.5× 870 1.4× 614 1.4× 510 1.4× 81 0.3× 66 2.4k

Countries citing papers authored by Rudolf L. Riepl

Since Specialization
Citations

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

Fields of papers citing papers by Rudolf L. Riepl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rudolf L. Riepl. 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 Rudolf L. Riepl. The network helps show where Rudolf L. Riepl may publish in the future.

Co-authorship network of co-authors of Rudolf L. Riepl

This figure shows the co-authorship network connecting the top 25 collaborators of Rudolf L. Riepl. A scholar is included among the top collaborators of Rudolf L. Riepl 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 Rudolf L. Riepl. Rudolf L. Riepl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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