Sarah Wang

717 citations
32 papers · 326 indexed · 1 hit paper · h-index 9

Sarah Wang

26 papers receiving 318 citations

Hit Papers

Chronic adaptive deep brain stimulation versus convention...64202420262025204060

Peers

Sarah Wang
Comparison fields: 5 of 76
  • Geriatrics and Gerontology 27
  • Neurology 98
  • Computer Graphics and Computer-Aided Design 17
  • Hepatology 39
  • Cellular and Molecular Neuroscience 75
Replace Bouchra El Moutawakil with:
Bouchra El Moutawakil Morocco
Chien‐Yeh Hsu Taiwan
Paul Myoung United States
Lueder Fels Germany
Anrong Wang China
Fengshi Tian China
Marie‐Christine Picot France
Ian Gould United States
Sarah Wang relative to Bouchra El Moutawakil Morocco Bouchra El Moutawakil's profile →
Citations per field
00.5×10×17×
Bouchra El Moutawakil · 1×
Citations per year

Countries citing papers authored by Sarah Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20250
4 20242
5 20240
6
Chronic adaptive deep brain stimulation versus conventional stimulation in Parkinson’s disease: a blinded randomized feasibility trialbreakdown →
202464
7 20244
8 20240
9 20233
10 20231
11 20228
12 202114
13 20211
14 202019
15 201911
16 201731
17 20164
18 20162
19 201520
20 20043

About Sarah Wang

Sarah Wang is a scholar working on Horticulture, Geriatrics and Gerontology and Neurology, having authored 32 papers that have together received 326 indexed citations. Recurring topics across this work include Neurological disorders and treatments (8 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Colorectal Cancer Screening and Detection (4 papers), Frailty in Older Adults (3 papers), Genetic Neurodegenerative Diseases (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Nutrition and Health in Aging (3 papers). The work is most often cited by research in Geriatrics and Gerontology (27 citations), Neurology (98 citations) and Computer Graphics and Computer-Aided Design (17 citations). Sarah Wang has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Jill L. Ostrem, Philip A. Starr, Puneeta Tandon, Stephanie Cernera, Simon Little, Carina R. Oehrn, Raymond Dingledine, Robert J. Bailey, Juan G. Abraldeṣ and Reid Whitlock. Their work appears in journals such as Nature Medicine, Nature Communications and Journal of Clinical Oncology.

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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