Sean Chia

2.3k citations
46 papers · 1.5k indexed · h-index 21

Impact in

  • Physiology top 2%
    • Alzheimer's disease research and treatments
  • Aging top 10%

Papers in

Sean Chia

44 papers receiving 1.5k citations

Peers

Sean Chia
Comparison fields: 5 of 105
  • Physiology 916
  • Aging 34
  • Biomaterials 221
  • Computational Theory and Mathematics 233
  • Molecular Biology 929
Replace Benedetta Mannini with:
Benedetta Mannini United Kingdom
Tamotsu Zako Japan
Laura Masino United Kingdom
Michele Perni United Kingdom
Mariagioia Zampagni Italy
Marten Beeg Italy
Henrik Biverstål Sweden
Sofie Nyström Sweden
Annett Boeddrich Germany
Leila M. Luheshi United Kingdom
Sean Chia relative to Benedetta Mannini United Kingdom Benedetta Mannini's profile →
Citations per field
00.5×1.5×
Benedetta Mannini · 1×
Citations per year

Countries citing papers authored by Sean Chia

Since Specialization
Citations

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

Fields of papers citing papers by Sean Chia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20245
3 20242
4 20240
5 202322
6 202321
7 202313
8 20237
9 202136
10 202114
11 202155
12 202129
13 202036
14 202012
15 201915
16 20192
17 201914
18 20181
19 201840
20 20181

About Sean Chia

Sean Chia is a scholar working on Physiology, Computational Theory and Mathematics, Complementary and Manual Therapy, Biological Psychiatry and Neurology, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (25 papers), Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Protein purification and stability (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). The work is most often cited by research in Physiology (916 citations), Aging (34 citations), Biomaterials (221 citations), Computational Theory and Mathematics (233 citations) and Molecular Biology (929 citations). Sean Chia has collaborated with scholars based in United Kingdom, Sweden and Singapore. Frequent co-authors include Michele Vendruscolo, Johnny Habchi, Tuomas P. J. Knowles, Christopher M. Dobson, Sara Linse, Francesco Simone Ruggeri, Thomas C. T. Michaels, Samuel I. A. Cohen, Michele Perni and Georg Meisl. Their work appears in journals such as ACS Chemical Neuroscience, Communications Biology, Proceedings of the National Academy of Sciences, Science Advances and Biophysical Journal.

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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