Chan Tian

1.8k citations
91 papers · 1.4k indexed · h-index 22

Impact in

  • Neurology top 2%
    • Neurological diseases and metabolism
    • Parkinson's Disease Mechanisms and Treatments
    • Prion Diseases and Protein Misfolding
    • RNA regulation and disease

Papers in

Chan Tian

89 papers receiving 1.4k citations

Peers

Chan Tian
Comparison fields: 5 of 109
  • Neurology 349
  • Molecular Biology 988
  • Nutrition and Dietetics 209
  • Neurology 168
  • Cell Biology 172
Replace Hermann C. Altmeppen with:
Hermann C. Altmeppen Germany
Michael Baier Germany
Jenny Ghelfi Luxembourg
Livia Civitelli Italy
Hailan Yao China
Brian J. Conti United States
Susarla Krishna Shankar India
Ida Biunno Italy
Theodoros I. Roumeliotis United Kingdom
Jinyue Hu China
Chan Tian relative to Hermann C. Altmeppen Germany Hermann C. Altmeppen's profile →
Citations per field
00.5×1.5×
Hermann C. Altmeppen · 1×
Citations per year

Countries citing papers authored by Chan Tian

Since Specialization
Citations

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

Fields of papers citing papers by Chan Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20243
4 20191
5 20167
6 20144
7 201415
8 20132
9 201312
10 201314
11 201253
12 201224
13 201245
14 201217
15 201122
16 200961
17 20095
18 200812
19 200627
20 200417

About Chan Tian

Chan Tian is a scholar working on Neurology, Nutrition and Dietetics, Chemical Health and Safety, Molecular Biology and Cell Biology, having authored 91 papers that have together received 1.4k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (56 papers), Neurological diseases and metabolism (28 papers), Trace Elements in Health (24 papers), RNA regulation and disease (10 papers), Autophagy in Disease and Therapy (6 papers), Microbial metabolism and enzyme function (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Amino Acid Enzymes and Metabolism (4 papers). The work is most often cited by research in Neurology (349 citations), Molecular Biology (988 citations), Nutrition and Dietetics (209 citations), Neurology (168 citations) and Cell Biology (172 citations). Chan Tian has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Xiao‐Ping Dong, Qi Shi, Cao Chen, Baoyun Zhang, Jun Han, Chen Gao, Chen Gao, Yin Xu, Yan Guo and Guirong Wang. Their work appears in journals such as Molecular Neurobiology, PLoS ONE, The International Journal of Biochemistry & Cell Biology, Medical Microbiology and Immunology and Acta Biochimica et Biophysica Sinica.

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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