William Chen

193 papers receiving 5.6k citations

Peers

William Chen
Comparison fields: 5 of 198
  • Otorhinolaryngology 320
  • Family Practice 129
  • Genetics 432
  • Epidemiology 917
  • Aging 45
Replace Lisa M. McShane with:
Lisa M. McShane United States
Natacha Turck Switzerland
Fred T. Bosman Netherlands
Peter W. Hamilton United Kingdom
Alexandre Hainard Switzerland
Xavier Robin Switzerland
Natalia Tiberti Italy
Jean-Charles Sanchez Switzerland
Jing Wang China
Inke R. König Germany
William Chen relative to Lisa M. McShane United States Lisa M. McShane's profile →
Citations per field
00.5×6.4×
Lisa M. McShane · 1×
Citations per year

Countries citing papers authored by William Chen

Since Specialization
Citations

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

Fields of papers citing papers by William Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005352
2 2007334
3 2010274
4 2010261
5 2020184
6 1994136
7 2006131
8 1993130
9 2016127
10 2017116
11 2012115
12
Antihypertensive medication adherence and subsequent healthcare utilization and costs.
2010111
13 2011109
14 2007103
15 2011102
16 201691
17 200887
18 202086
19 199386
20 199285

About William Chen

William Chen is a scholar working on Epidemiology, Surgery, Artificial Intelligence, Molecular Biology and Electrical and Electronic Engineering, having authored 206 papers that have together received 5.8k indexed citations. Recurring topics across this work include Meningioma and schwannoma management (31 papers), Glioma Diagnosis and Treatment (11 papers), Natural Language Processing Techniques (10 papers), Speech Recognition and Synthesis (7 papers), Epilepsy research and treatment (7 papers), Neurofibromatosis and Schwannoma Cases (6 papers), Infrared Target Detection Methodologies (5 papers) and Adrenal and Paraganglionic Tumors (5 papers). The work is most often cited by research in Otorhinolaryngology (320 citations), Family Practice (129 citations), Genetics (432 citations), Epidemiology (917 citations) and Aging (45 citations). William Chen has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Merri Pendergrass, Rajesh Garg, Allen G. Harmsen, David G. Pfister, Suzanne L. Wolden, Dennis H. Kraus, Donald G. Pittman, Sean L. Berry, Michael J. Zeléfsky and Steven J. Bowlin. Their work appears in journals such as Neuro-Oncology, Neurosurgery, International Journal of Radiation Oncology*Biology*Physics, Epilepsia and Neuro-Oncology Advances.

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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