Mudan Cai

1.0k citations
33 papers · 891 · h-index 17

Impact in

Papers in

    • Amyotrophic Lateral Sclerosis Research 11
    • Neuroinflammation and Neurodegeneration Mechanisms 5
    • Alzheimer's disease research and treatments 6

Mudan Cai

33 papers receiving 880 citations

Peers

Mudan Cai
Comparison fields: 5 of 90
  • Biological Psychiatry 47
  • Developmental Neuroscience 60
  • Neurology 115
  • Complementary and alternative medicine 100
  • Pharmacology 128
Replace Farnaz Nikbakht with:
Farnaz Nikbakht Iran
Carmen Díaz-Ruiz Spain
Enéas Andrade Fontes-Júnior Brazil
Mohammad Allahtavakoli Iran
Taysa Bervian Bassani Brazil
Mario Eduardo Flores-Soto Mexico
P.L. Sharma India
Jong Whi Kim South Korea
Ilona Joniec‐Maciejak Poland
Debapriya Garabadu India
Mudan Cai relative to Farnaz Nikbakht Iran Farnaz Nikbakht's profile →
Citations per field
00.5×1.5×1.9×
Farnaz Nikbakht · 1×
Citations per year

Countries citing papers authored by Mudan Cai

Since Specialization
Citations

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

Fields of papers citing papers by Mudan Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201199
2 201289
3 201477
4 201167
5 202052
6 201146
7 201641
8 201240
9 201140
10 201228
11 202028
12 201928
13 201225
14 202024
15 201922
16 201821
17 201318
18 201916
19 202215
20 202313

About Mudan Cai

Mudan Cai is a scholar working on Neurology, Physiology, Molecular Biology, Cellular and Molecular Neuroscience and Neurology, having authored 33 papers that have together received 891 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (11 papers), Alzheimer's disease research and treatments (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Neurogenetic and Muscular Disorders Research (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Medicinal Plants and Neuroprotection (2 papers). The work is most often cited by research in Biological Psychiatry (47 citations), Developmental Neuroscience (60 citations), Neurology (115 citations), Complementary and alternative medicine (100 citations) and Pharmacology (128 citations). Mudan Cai has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jong Hoon Ryu, Eun Jin Yang, Se Jin Park, Jong Min Kim, Dong Hyun Kim, Jun Man Jung, Fei Luo, Dong Hyun Kim, Pei Xiao and Gian Domenico Iannetti. Their work appears in journals such as Journal of Ethnopharmacology, The American Journal of Chinese Medicine, Biomedicine & Pharmacotherapy, Biomolecules & Therapeutics and European 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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