Ryan U. Riel

1.0k citations
8 papers · 727 · h-index 7

Impact in

  • Hematology top 2%
    • Erythropoietin and Anemia Treatment
    • Iron Metabolism and Disorders
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

Ryan U. Riel

8 papers receiving 701 citations

Peers

Ryan U. Riel
Comparison fields: 5 of 63
  • Hematology 487
  • Genetics 132
  • Nephrology 64
  • Health Informatics 12
  • Pathology and Forensic Medicine 159
Replace Ji Hee Kim with:
Ji Hee Kim South Korea
G. Brant Walton United States
Cyrus J. Parsa United States
Melissa Krawczyk United States
Cristina Quartarone Italy
Massimo Ragni Italy
Akihiko Karibe Japan
Takanori Hayasaki Japan
Giovanna Giannotti Italy
Viola Lorenz Germany
Ryan U. Riel relative to Ji Hee Kim South Korea Ji Hee Kim's profile →
Citations per field
00.5×1.5×
Ji Hee Kim · 1×
Citations per year

Countries citing papers authored by Ryan U. Riel

Since Specialization
Citations

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

Fields of papers citing papers by Ryan U. Riel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan U. Riel. 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 Ryan U. Riel. The network helps show where Ryan U. Riel may publish in the future.

Co-authors

The 21 scholars most cited alongside Ryan U. Riel, 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 Ryan U. Riel Line = papers co-authored together Ryan U. Riel links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2003444
2 2004159
3 200348
4
A simple method for fashioning an antibiotic cement-coated interlocking intramedullary nail.
201026
5 200020
6 201017
7 200512
8 20161

About Ryan U. Riel

Ryan U. Riel is a scholar working on Pathology and Forensic Medicine, Oncology, Hematology, Surgery and Molecular Biology, having authored 8 papers that have together received 727 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (3 papers), PARP inhibition in cancer therapy (3 papers), Erythropoietin and Anemia Treatment (3 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Spine and Intervertebral Disc Pathology (1 paper), Cervical and Thoracic Myelopathy (1 paper), Spinal Fractures and Fixation Techniques (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Hematology (487 citations), Genetics (132 citations), Nephrology (64 citations), Health Informatics (12 citations) and Pathology and Forensic Medicine (159 citations). Ryan U. Riel has collaborated with scholars based in United States. Frequent co-authors include Richard B. Thompson, Walter J. Koch, Jason A. Petrofski, Cyrus J. Parsa, Ji Hee Kim, Jonathan S. Stamler, Akio Matsumoto, G. Brant Walton, Brian H. Annex and John S. Kirkpatrick. Their work appears in journals such as Journal of Clinical Investigation, Journal of Biological Chemistry, Journal of Spinal Disorders & Techniques, The Journal of Gene Medicine and Annals of Global Health.

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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