Ryan W. King

23 papers receiving 298 citations

Peers

Ryan W. King
Comparison fields: 5 of 61
  • Toxicology 23
  • Transplantation 13
  • Internal Medicine 12
  • Biotechnology 26
  • Pharmacology 47
Replace Renato Demarchi Foresto with:
Renato Demarchi Foresto Brazil
Kiliana Suzart‐Woischnik Germany
Jiao Pei China
R. Hidalgo Spain
Andrea Pasta Italy
Rohini Bahethi United States
Zsolt Káposztás Hungary
P. Tréchot France
Evelyne Collet France
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Citations per field
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Renato Demarchi Foresto · 1×
Citations per year

Countries citing papers authored by Ryan W. King

Since Specialization
Citations

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

Fields of papers citing papers by Ryan W. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201598
2 201042
3 200936
4 201623
5 197519
6 201916
7 202015
8 202110
9 20188
10 20216
11 19826
12 20095
13 20224
14 20194
15 20214
16 20162
17 20221
18
Online Defamation: Bringing the Communications Decency Act of 1996 in Line With Sound Public Policy
20031
19 20211
20 20201

About Ryan W. King

Ryan W. King is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Pharmacology, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 23 papers that have together received 305 indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (5 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Central Venous Catheters and Hemodialysis (3 papers), Microbial Natural Products and Biosynthesis (3 papers), Reproductive System and Pregnancy (2 papers), Pregnancy and Medication Impact (2 papers), Aortic aneurysm repair treatments (2 papers) and Atrial Fibrillation Management and Outcomes (2 papers). The work is most often cited by research in Toxicology (23 citations), Transplantation (13 citations), Internal Medicine (12 citations), Biotechnology (26 citations) and Pharmacology (47 citations). Ryan W. King has collaborated with scholars based in United States, Australia and Nigeria. Frequent co-authors include John D. Bauer, Sean F. Brady, Michael J. Moritz, Lisa Coscia, Nicole M. Sifontis, S Constantinescu, W. McCaughey, Thomas E. Brothers, Elizabeth Genovese and Ravi Veeraswamy. Their work appears in journals such as Annals of Vascular Surgery, Journal of Vascular Surgery, Journal of Pediatric Genetics, Journal of Endovascular Therapy and Angewandte Chemie International Edition.

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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