Shinghung Mak

1.4k citations
50 papers · 1.2k · h-index 22

Impact in

Papers in

    • Cholinesterase and Neurodegenerative Diseases 19
    • Nicotinic Acetylcholine Receptors Study 7
    • Signaling Pathways in Disease 4

Shinghung Mak

50 papers receiving 1.2k citations

Peers

Shinghung Mak
Comparison fields: 5 of 109
  • Complementary and alternative medicine 182
  • Neurology 168
  • Pharmacology 335
  • Biological Psychiatry 39
  • Developmental Neuroscience 62
Replace Shengquan Hu with:
Shengquan Hu Hong Kong
Rudolf Moldzio Austria
Man-Shan Yu Hong Kong
María‐Salud García‐Ayllón Spain
Saumitra Sen Singh India
Aaina Singh Rathore India
Walia Zahra India
Gohar Mushtaq Saudi Arabia
Harsharan S. Bhatia Germany
Marlene Jiménez-Del-Río Colombia
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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201963
2 201162
3 201255
4 201254
5 201450
6 201447
7 201146
8 201339
9 201837
10 202037
11 201132
12 201432
13 201131
14 201529
15 201529
16 201826
17 201626
18 201724
19 201624
20 202023

About Shinghung Mak

Shinghung Mak is a scholar working on Pharmacology, Molecular Biology, Physiology, Cellular and Molecular Neuroscience and Neurology, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (19 papers), Alzheimer's disease research and treatments (14 papers), Neuroscience and Neuropharmacology Research (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Nicotinic Acetylcholine Receptors Study (7 papers), Medicinal Plants and Neuroprotection (5 papers), Signaling Pathways in Disease (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Complementary and alternative medicine (182 citations), Neurology (168 citations), Pharmacology (335 citations), Biological Psychiatry (39 citations) and Developmental Neuroscience (62 citations). Shinghung Mak has collaborated with scholars based in Hong Kong, China and Macao. Frequent co-authors include Yifan Han, Shengquan Hu, Wei Cui, Karl Wah Keung Tsim, Zaijun Zhang, Ren-Wen Han, Simon Ming‐Yuen Lee, Daping Xu, Huan Zhang and Yuan‐Ping Pang. Their work appears in journals such as CNS Neuroscience & Therapeutics, European Journal of Pharmacology, Journal of Molecular Neuroscience, Frontiers in Pharmacology and British Journal of Pharmacology.

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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