Florian Riedl

737 citations
17 papers · 303 · h-index 8

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Liver Diseases and Immunity
    • Liver physiology and pathology
    • Liver Disease Diagnosis and Treatment

Papers in

Florian Riedl

16 papers receiving 297 citations

Peers

Florian Riedl
Comparison fields: 5 of 40
  • Hepatology 218
  • Epidemiology 148
  • Gastroenterology 12
  • Surgery 81
  • Oncology 40
Replace Jan Stypułkowski with:
Jan Stypułkowski Poland
Sheila Eswaran United States
B.E. Annicchiarico Italy
Seung Kak Shin South Korea
Ken Nishino Japan
Rohit Sinha United Kingdom
Tim Cross United Kingdom
Irene Vafiadis Greece
Amrish Sahney India
Laura Weichselbaum Belgium
Florian Riedl relative to Jan Stypułkowski Poland Jan Stypułkowski's profile →
Citations per field
00.5×1.5×
Jan Stypułkowski · 1×
Citations per year

Countries citing papers authored by Florian Riedl

Since Specialization
Citations

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

Fields of papers citing papers by Florian Riedl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2016139
2 201841
3 201829
4 201725
5 201718
6 201813
7 202210
8 20198
9 20206
10 20184
11 20243
12 20232
13 20162
14 20181
15 20151
16 20201
17 20250

About Florian Riedl

Florian Riedl is a scholar working on Hepatology, Epidemiology, Gastroenterology, Surgery and Computer Networks and Communications, having authored 17 papers that have together received 303 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (13 papers), Liver Disease Diagnosis and Treatment (4 papers), Gastrointestinal Bleeding Diagnosis and Treatment (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Game Theory and Applications (1 paper), Mathematical Biology Tumor Growth (1 paper) and Distributed Control Multi-Agent Systems (1 paper). The work is most often cited by research in Hepatology (218 citations), Epidemiology (148 citations), Gastroenterology (12 citations), Surgery (81 citations) and Oncology (40 citations). Florian Riedl has collaborated with scholars based in Austria and Germany. Frequent co-authors include Thomas Reiberger, Michael Trauner, Markus Peck‐Radosavljevic, Philipp Schwabl, Mattias Mandorfer, Nikolaus Pfisterer, Theresa Bucsics, Claus Kremoser, M. Wagner and Michael Burnet. Their work appears in journals such as Journal of Hepatology, Scandinavian Journal of Gastroenterology, Digestive and Liver Disease, PLoS ONE and Alimentary Pharmacology & Therapeutics.

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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