Simon C. Williams

2.1k citations
47 papers · 1.6k · h-index 16

Impact in

Papers in

Simon C. Williams

41 papers receiving 1.5k citations

Peers

Simon C. Williams
Comparison fields: 5 of 124
  • Cardiology and Cardiovascular Medicine 719
  • Health Informatics 46
  • Molecular Biology 825
  • Sensory Systems 52
  • Cellular and Molecular Neuroscience 197
Replace Huijun Wang with:
Huijun Wang China
Chiara Di Resta Italy
Ieuan Clay Switzerland
Satoshi Shoji Japan
Andreas Leha Germany
Jan Haas Germany
Claudia Gonzaga‐Jauregui United States
Derk Frank Germany
Huiyu Li China
Simon C. Williams relative to Huijun Wang China Huijun Wang's profile →
Citations per field
00.5×9.6×
Huijun Wang · 1×
Citations per year

Countries citing papers authored by Simon C. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Simon C. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon C. Williams. 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 Simon C. Williams. The network helps show where Simon C. Williams may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003217
2 1995211
3 2001180
4 2006167
5 2004145
6 200888
7 199479
8 200570
9 200169
10 202149
11 200449
12 200832
13 200427
14 202222
15 200019
16 200217
17 202314
18 202313
19 199313
20 202412

About Simon C. Williams

Simon C. Williams is a scholar working on Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine, Health Informatics and Epidemiology, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (7 papers), Ion channel regulation and function (7 papers), Surgical Simulation and Training (6 papers), Meningioma and schwannoma management (5 papers), Artificial Intelligence in Healthcare and Education (5 papers), Pituitary Gland Disorders and Treatments (3 papers), Cardiovascular Effects of Exercise (2 papers) and Neurofibromatosis and Schwannoma Cases (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (719 citations), Health Informatics (46 citations), Molecular Biology (825 citations), Sensory Systems (52 citations) and Cellular and Molecular Neuroscience (197 citations). Simon C. Williams has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Sándor Györke, Dmitry Terentyev, Serge Viatchenko‐Karpinski, Inna Györke, Pompeo Volpe, Peter F. Johnson, M Baer, Allan Dillner, Radmila Terentyeva and Alessandra Nori. Their work appears in journals such as npj Digital Medicine, Circulation Research, International Journal of Computer Assisted Radiology and Surgery, World Neurosurgery and Annals of Surgery.

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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