Han Chan

10 papers receiving 586 citations

Han Chan's Hit Papers

Faulty autolysosome acidification in Alzheimer’s disease mouse models induces autophagic build-up of Aβ in neurons, yielding senile plaques 2022 · 428 citations
4280+1+2Years since publication100200300400

Peers

Han Chan
Comparison fields: 5 of 77
  • Biological Psychiatry 23
  • Physiology 224
  • Nephrology 55
  • Neurology 64
  • Physiology 32
Replace Yan Tan with:
Yan Tan United States
Changhong Miao China
Donghe Han China
Yingmei Zhang China
Jianning Zhang China
Theodor K. Bammler United States
Lucia‐Doina Popov Romania
Maha Coucha United States
Jing Zou China
Han Chan relative to Yan Tan United States Yan Tan's profile →
Citations per field
00.5×10×17×
Yan Tan · 1×
Citations per year

Countries citing papers authored by Han Chan

Since Specialization
Citations

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

Fields of papers citing papers by Han Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Faulty autolysosome acidification in Alzheimer’s disease mouse models induces autophagic build-up of Aβ in neurons, yielding senile plaques
Hit paper breakdown →
2022428
2 201689
3 201934
4 201919
5 202118
6 20231
7 20251
8 20241
9 20191
10 20171
11 20250
12 20220
13 20240

About Han Chan

Han Chan is a scholar working on Nephrology, Pulmonary and Respiratory Medicine, Surgery, Neurology and Mechanics of Materials, having authored 13 papers that have together received 593 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (5 papers), Vasculitis and related conditions (3 papers), Kawasaki Disease and Coronary Complications (2 papers), Celiac Disease Research and Management (1 paper), Alzheimer's disease research and treatments (1 paper), Blood Coagulation and Thrombosis Mechanisms (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and Drilling and Well Engineering (1 paper). The work is most often cited by research in Biological Psychiatry (23 citations), Physiology (224 citations), Nephrology (55 citations), Neurology (64 citations) and Physiology (32 citations). Han Chan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include M. Staufenbiel, Eunju Im, Mala Rao, Dun‐Sheng Yang, Ralph A. Nixon, Chris N. Goulbourne, Efrat Levy, Monika Pawlik, James Peddy and Cynthia Bleiwas. Their work appears in journals such as PLoS ONE, Journal of Inflammation Research, World Journal of Pediatrics, Diabetes Obesity and Metabolism and Nature Neuroscience.

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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