Sam Ng

33.3k citations
45 papers · 772 · h-index 16

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Neurology top 10%
    • Neurosurgical Procedures and Complications
    • Intracerebral and Subarachnoid Hemorrhage Research

Papers in

    • Meningioma and schwannoma management 14
    • Glioma Diagnosis and Treatment 14

Sam Ng

40 papers receiving 767 citations

Peers

Sam Ng
Comparison fields: 5 of 78
  • Genetics 260
  • Neurology 172
  • Developmental Neuroscience 39
  • Radiology, Nuclear Medicine and Imaging 159
  • Cognitive Neuroscience 130
Replace Yordanka Yordanova with:
Yordanka Yordanova France
Shirabe Matsumoto Japan
Fabien Almairac France
Raphaël Calmon France
Thomas Sauvigny Germany
Lasse Dührsen Germany
Jeroen B. Verheul Netherlands
Mukesch Shah Germany
Chenxing Wu China
Michael Wahl United States
Sam Ng relative to Yordanka Yordanova France Yordanka Yordanova's profile →
Citations per field
00.5×3.0×
Yordanka Yordanova · 1×
Citations per year

Countries citing papers authored by Sam Ng

Since Specialization
Citations

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

Fields of papers citing papers by Sam Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019103
2 201270
3 201959
4 201552
5 201747
6 202146
7 202035
8 202130
9 202328
10 202026
11 202225
12 202124
13 201321
14 202417
15 202117
16 202115
17 202413
18 201913
19 202312
20 201811

About Sam Ng

Sam Ng is a scholar working on Epidemiology, Genetics, Cognitive Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 45 papers that have together received 772 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (14 papers), Glioma Diagnosis and Treatment (14 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Functional Brain Connectivity Studies (7 papers), Advanced MRI Techniques and Applications (5 papers), Brain Metastases and Treatment (4 papers), Neurosurgical Procedures and Complications (4 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Genetics (260 citations), Neurology (172 citations), Developmental Neuroscience (39 citations), Radiology, Nuclear Medicine and Imaging (159 citations) and Cognitive Neuroscience (130 citations). Sam Ng has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Hugues Duffau, Guillaume Herbet, Sylvie Moritz‐Gasser, Anne‐Laure Lemaitre, Julien Boetto, Nicolas Lonjon, Jason R. Janke, Antonio Bellisario, Vincent Costalat and David Haussler. Their work appears in journals such as World Neurosurgery, Journal of neurosurgery, Neurosurgery, Neuro-Oncology and Brain.

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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