Sam Ng

1k citations
42 papers · 764 · h-index 16

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
  • Neurology top 10%
    • Neurosurgical Procedures and Complications

Papers in

    • Glioma Diagnosis and Treatment 19
    • Functional Brain Connectivity Studies 5
    • Neurobiology of Language and Bilingualism 3

Sam Ng

39 papers receiving 757 citations

Peers

Sam Ng
Comparison fields: 5 of 37
  • Genetics 370
  • Neurology 163
  • Radiology, Nuclear Medicine and Imaging 122
  • Cognitive Neuroscience 109
  • Endocrinology, Diabetes and Metabolism 56
Replace José Pedro Lavrador with:
José Pedro Lavrador United Kingdom
Yusuke Tabei Japan
Jeroen B. Verheul Netherlands
Riho Nakajima Japan
D I Pitskhelauri Russia
Arka N. Mallela United States
Alfred Kloet Netherlands
Lutz Martin Weise Germany
Masafumi Hirato Japan
P Peretti-Viton France
Sam Ng relative to José Pedro Lavrador United Kingdom José Pedro Lavrador's profile →
Citations per field
00.5×1.5×2.2×
José Pedro Lavrador · 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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019124
2 201968
3 202152
4 202043
5 202138
6 202338
7 202232
8 202029
9 202428
10 202123
11 201922
12 202122
13 202420
14 202119
15 202118
16 202317
17 201816
18 202115
19 202314
20 202112

About Sam Ng

Sam Ng is a scholar working on Genetics, Cognitive Neuroscience, Neurology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 42 papers that have together received 764 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (19 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Functional Brain Connectivity Studies (5 papers), Pituitary Gland Disorders and Treatments (4 papers), Neurosurgical Procedures and Complications (4 papers), Neurobiology of Language and Bilingualism (3 papers), Reading and Literacy Development (2 papers) and Intraoperative Neuromonitoring and Anesthetic Effects (2 papers). The work is most often cited by research in Genetics (370 citations), Neurology (163 citations), Radiology, Nuclear Medicine and Imaging (122 citations), Cognitive Neuroscience (109 citations) and Endocrinology, Diabetes and Metabolism (56 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, Nicolas Molinari, Vincent Costalat, Gaëtan Poulen and Pierre-Henri Lefèvre. 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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