Shinghung Mak

1.4k citations
47 papers · 1.1k · h-index 22

Impact in

Papers in

    • Nicotinic Acetylcholine Receptors Study 7
    • Signaling Pathways in Disease 4
    • Cholinesterase and Neurodegenerative Diseases 17

Shinghung Mak

47 papers receiving 1.1k citations

Peers

Shinghung Mak
Comparison fields: 5 of 99
  • Complementary and alternative medicine 164
  • Pharmacology 301
  • Neurology 134
  • Biological Psychiatry 32
  • Developmental Neuroscience 52
Replace Shengquan Hu with:
Shengquan Hu Hong Kong
María‐Salud García‐Ayllón Spain
Aaina Singh Rathore India
Zahra Kiasalari Iran
Angélica María Sabogal-Guáqueta Colombia
Sachin Patil United States
Yuki Takada‐Takatori Japan
Varghese John United States
Juliana Bender Hoppe Brazil
Yaling Yin China
Shinghung Mak relative to Shengquan Hu Hong Kong Shengquan Hu's profile →
Citations per field
00.5×1.5×
Shengquan Hu · 1×
Citations per year

Countries citing papers authored by Shinghung Mak

Since Specialization
Citations

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

Fields of papers citing papers by Shinghung Mak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201965
2 201161
3 201255
4 201254
5 201450
6 201448
7 202040
8 201339
9 201838
10 201433
11 201133
12 201131
13 201531
14 201530
15 201827
16 201626
17 201625
18 202024
19 202123
20 201522

About Shinghung Mak

Shinghung Mak is a scholar working on Molecular Biology, Pharmacology, Physiology, Cellular and Molecular Neuroscience and Complementary and alternative medicine, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (17 papers), Alzheimer's disease research and treatments (13 papers), Neuroscience and Neuropharmacology Research (9 papers), Nicotinic Acetylcholine Receptors Study (7 papers), Medicinal Plants and Neuroprotection (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Signaling Pathways in Disease (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Complementary and alternative medicine (164 citations), Pharmacology (301 citations), Neurology (134 citations), Biological Psychiatry (32 citations) and Developmental Neuroscience (52 citations). Shinghung Mak has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Yifan Han, Shengquan Hu, Wei Cui, Karl Wah Keung Tsim, Zaijun Zhang, Huan Zhang, Daping Xu, Yuan‐Ping Pang, Jianhui Rong and Yuqiang Wang. Their work appears in journals such as CNS Neuroscience & Therapeutics, Journal of Molecular Neuroscience, European Journal of Pharmacology, Frontiers in Pharmacology and Chemico-Biological Interactions.

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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