Sue‐Ann Mok

2.9k citations
26 papers · 1.1k indexed · 1 hit paper · h-index 14
Topics
Alzheimer's disease research and treatments (10 papers)Nerve injury and regeneration (5 papers)Prion Diseases and Protein Misfolding (4 papers)

In The Last Decade

Sue‐Ann Mok

25 papers receiving 1.1k citations

Hit Papers

Microglial NF-κB drives tau spreading and toxicity in a m...2022202620232024202250100150

Peers

Sue‐Ann Mok
Comparison fields: 5 of 80
  • Molecular Biology 584
  • Physiology 435
  • Cellular and Molecular Neuroscience 261
  • Neurology 240
  • Cell Biology 215
Replace Lotta Agholme with:
Lotta Agholme Sweden
Julia C. Fitzgerald Germany
Irene Fernández‐Carasa Spain
Insup Choi United States
Hyung‐Jun Kim South Korea
Laura Civiero Italy
Natalia Salvadores Chile
Eun Sun Jung South Korea
David C. Schöndorf Germany
Gilbert Gallardo United States
Sue‐Ann Mok relative to Lotta Agholme Sweden Lotta Agholme's profile →
Citations per field
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Lotta Agholme · 1×
Citations per year

Countries citing papers authored by Sue‐Ann Mok

Since Specialization
Citations

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

Fields of papers citing papers by Sue‐Ann Mok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sue‐Ann Mok. 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 Sue‐Ann Mok. The network helps show where Sue‐Ann Mok may publish in the future.

Co-authorship network of co-authors of Sue‐Ann Mok

This figure shows the co-authorship network connecting the top 25 collaborators of Sue‐Ann Mok. A scholar is included among the top collaborators of Sue‐Ann Mok based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sue‐Ann Mok. Sue‐Ann Mok is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 3
5 5
6
Microglial NF-κB drives tau spreading and toxicity in a mouse model of tauopathybreakdown →
186
7 1
8 1
9 24
10 5
11 75
12 109
13 108
14 71
15 24
16 101
17 4
18 41
19 48
20 20

About Sue‐Ann Mok

Sue‐Ann Mok is a scholar working on Cellular and Molecular Neuroscience, Physiology and Cell Biology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Nerve injury and regeneration (5 papers) and Prion Diseases and Protein Misfolding (4 papers). The work is most often cited by research in Neurology (240 citations), Biological Psychiatry (44 citations) and Physiology (435 citations). Sue‐Ann Mok has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Jason E. Gestwicki, Robert B. Campenot, Karen Lund, Daniel R. Southworth, Eric Tse, Jennifer N. Rauch, Li Gan, Lea T. Grinberg, Peter Sohn and Carlo Condello. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Neuron.

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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