Ming‐Shung Su

465 citations
23 papers · 331 · h-index 10

Impact in

Papers in

Ming‐Shung Su

22 papers receiving 320 citations

Peers

Ming‐Shung Su
Comparison fields: 5 of 52
  • Psychiatry and Mental health 186
  • Cognitive Neuroscience 100
  • Cellular and Molecular Neuroscience 79
  • Pediatrics, Perinatology and Child Health 70
  • Neurology 30
Replace Jennifer S. Haut with:
Jennifer S. Haut United States
Martin T. Lutz Germany
Nuri Erkut Kucukboyaci United States
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A. B. Thomas United States
Maria Helena da Silva Noffs Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Ming‐Shung Su

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Shung Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Shung Su. 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 Ming‐Shung Su. The network helps show where Ming‐Shung Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198366
2 200057
3 199645
4 200032
5 200922
6 199917
7 199813
8
Mah-jong epilepsy: a new reflex epilepsy.
200012
9 199811
10 19979
11 20018
12 19996
13 19936
14
Activation of epileptogenic activities by etomidate in electrocorticoencephalography (ECoG) during operation for epilepsy.
19906
15 19976
16
Temporal lobectomy in adults with intractable epilepsy.
19945
17 19963
18 20013
19
Startle epilepsy presenting as drop attacks: a case report.
19951
20
Lamotrigine as add-on therapy in adult patients with refractory epilepsy.
19971

About Ming‐Shung Su

Ming‐Shung Su is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience, Neurology and Epidemiology, having authored 23 papers that have together received 331 indexed citations. Recurring topics across this work include Epilepsy research and treatment (15 papers), Pharmacological Effects and Toxicity Studies (8 papers), Neuroscience and Neuropharmacology Research (4 papers), Neurological disorders and treatments (4 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Metabolism and Genetic Disorders (2 papers), Neurological diseases and metabolism (2 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Psychiatry and Mental health (186 citations), Cognitive Neuroscience (100 citations), Cellular and Molecular Neuroscience (79 citations), Pediatrics, Perinatology and Child Health (70 citations) and Neurology (30 citations). Ming‐Shung Su has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chun‐Hing Yiu, James L. Chan, Clair Hughes, Der‐Jen Yen, Hsiang‐Yu Yu, Yang‐Hsin Shih, Chien Chen, Shang‐Yeong Kwan, Yuh‐Cherng Guo and Yung‐Yang Lin. Their work appears in journals such as Neurology, Epilepsia, Child s Nervous System, Spinal Cord and Movement Disorders.

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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