Hong Hao Chan

1.1k citations
13 papers · 719 indexed · 1 hit paper · h-index 7
Topics
Extracellular vesicles in disease (2 papers)Alzheimer's disease research and treatments (2 papers)Mineral Processing and Grinding (2 papers)

In The Last Decade

Hong Hao Chan

13 papers receiving 696 citations

Hit Papers

Microbiota–gut–brain axis and its therapeutic application...2024202620252024100200300400

Peers

Hong Hao Chan
Comparison fields: 5 of 109
  • Molecular Biology 348
  • Physiology 181
  • Biological Psychiatry 105
  • Control and Systems Engineering 72
  • Biomedical Engineering 55
Replace Anirikh Chakrabarti with:
Anirikh Chakrabarti United States
Michael J. Hurley United Kingdom
Pengtao Xu China
Yuyan Yang China
Hongli Shi China
Jun Go South Korea
Hyun‐Jun Park South Korea
Hong‐Gyun Lee South Korea
Mariano Catanesi Italy
Hong Hao Chan relative to Anirikh Chakrabarti United States Anirikh Chakrabarti's profile →
Citations per field
00.5×4.8×
Anirikh Chakrabarti · 1×
Citations per year

Countries citing papers authored by Hong Hao Chan

Since Specialization
Citations

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

Fields of papers citing papers by Hong Hao Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Hao Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Hao Chan. A scholar is included among the top collaborators of Hong Hao Chan 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 Hong Hao Chan. Hong Hao Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 3
2 3
3
Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseasesbreakdown →
467
4 17
5 6
6 4
7 3
8 32
9 11
10 5
11 84
12 19
13 65

About Hong Hao Chan

Hong Hao Chan is a scholar working on Biological Psychiatry, Neurology and Immunology and Allergy, having authored 13 papers that have together received 719 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (2 papers), Alzheimer's disease research and treatments (2 papers) and Mineral Processing and Grinding (2 papers). The work is most often cited by research in Biological Psychiatry (105 citations), Physiology (181 citations) and Aging (12 citations). Hong Hao Chan has collaborated with scholars based in Malaysia, United Kingdom and Australia. Frequent co-authors include Yong Sze Ong, Kooi Yeong Khaw, Chee Wun How, Jhi Biau Foo, Jian Sheng Loh, Chu Xin Ng, Li Tan, James R. Fair, KI Matthaei and HD Campbell. Their work appears in journals such as The Journal of Pathology, Signal Transduction and Targeted Therapy and Pharmacological Research.

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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