Pokman Chan

2.1k total citations · 2 hit papers
7 papers, 1.3k citations indexed

About

Pokman Chan is a scholar working on Rheumatology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Pokman Chan has authored 7 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Rheumatology, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Pokman Chan's work include Osteoarthritis Treatment and Mechanisms (3 papers), Bone and Joint Diseases (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Pokman Chan is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (3 papers), Bone and Joint Diseases (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Pokman Chan collaborates with scholars based in United States, Hong Kong and Spain. Pokman Chan's co-authors include Javier González‐Maeso, Stuart C. Sealfon, Rosalind L. Ang, Jay A. Gingrich, Ming‐Ming Zhou, Noelia Weisstaub, Alena Lira, Yongchao Ge, Maria Bradley-Moore and Lidija Ivic and has published in prestigious journals such as Nature, Neuron and The Journal of Comparative Neurology.

In The Last Decade

Pokman Chan

7 papers receiving 1.3k citations

Hit Papers

Hallucinogens Recruit Specific Cortical 5-HT2A Receptor-M... 2007 2026 2013 2019 2007 2008 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pokman Chan United States 5 1000 618 542 234 174 7 1.3k
Rosalind L. Ang United States 7 972 1.0× 677 1.1× 540 1.0× 234 1.0× 173 1.0× 8 1.4k
David L. Willins United States 13 1.1k 1.1× 740 1.2× 209 0.4× 92 0.4× 51 0.3× 14 1.3k
Sylvie Chaboz Switzerland 9 1.1k 1.1× 692 1.1× 418 0.8× 46 0.2× 48 0.3× 9 1.5k
Clinton E. Canal United States 19 568 0.6× 292 0.5× 287 0.5× 176 0.8× 57 0.3× 41 935
Jesse Brodkin United States 18 1.4k 1.4× 1.0k 1.7× 135 0.2× 127 0.5× 33 0.2× 20 1.9k
Lawrence W. Fitzgerald United States 23 944 0.9× 649 1.1× 69 0.1× 261 1.1× 69 0.4× 42 2.0k
Mike Bickerdike United Kingdom 10 492 0.5× 283 0.5× 119 0.2× 64 0.3× 52 0.3× 15 741
Brenda Trail United Kingdom 11 716 0.7× 432 0.7× 86 0.2× 77 0.3× 50 0.3× 15 975
Jérôme Jeanblanc France 20 1.0k 1.0× 471 0.8× 101 0.2× 62 0.3× 32 0.2× 41 1.4k
Sergio Melotto Italy 15 322 0.3× 255 0.4× 110 0.2× 64 0.3× 223 1.3× 21 871

Countries citing papers authored by Pokman Chan

Since Specialization
Citations

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

Fields of papers citing papers by Pokman Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pokman Chan

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

All Works

7 of 7 papers shown
1.
Chan, Pokman, Weiqin Yang, Chunyi Wen, Chun Hoi Yan, & Pky Chiu. (2017). Spontaneously Hypertensive Rat as a Novel Model of Co-morbid Knee Osteoarthritis. Osteoarthritis and Cartilage. 25. S319–S320. 4 indexed citations
2.
Chan, Pokman, Chunyi Wen, Wei Yang, Chun Hoi Yan, & Pky Chiu. (2016). Phenotype classification of advanced knee osteoarthritis based on occurrence of subchondral bone cysts. Osteoarthritis and Cartilage. 24. S389–S390. 1 indexed citations
3.
Yang, Weiqin, Pokman Chan, Chunyi Wen, Chun Hoi Yan, & Pky Chiu. (2016). Subchondral bone disturbance in advanced knee osteoarthritis is worsened with co-morbid hypertension: does endothelin-1 matter?. Osteoarthritis and Cartilage. 24. S390–S390. 2 indexed citations
4.
Wei, Yuan, Yi Liao, Beth Zavilowitz, et al.. (2014). Angiotensin II type 2 receptor regulates ROMK-like K+channel activity in the renal cortical collecting duct during high dietary K+adaptation. American Journal of Physiology-Renal Physiology. 307(7). F833–F843. 15 indexed citations
5.
González‐Maeso, Javier, Rosalind L. Ang, Tony Yuen, et al.. (2008). Identification of a serotonin/glutamate receptor complex implicated in psychosis. Nature. 452(7183). 93–97. 626 indexed citations breakdown →
6.
González‐Maeso, Javier, Noelia Weisstaub, Ming‐Ming Zhou, et al.. (2007). Hallucinogens Recruit Specific Cortical 5-HT2A Receptor-Mediated Signaling Pathways to Affect Behavior. Neuron. 53(3). 439–452. 653 indexed citations breakdown →
7.
Chan, Pokman, Javier González‐Maeso, Frederique Ruf-Zamojski, et al.. (2004). ϵ‐Sarcoglycan immunoreactivity and mRNA expression in mouse brain. The Journal of Comparative Neurology. 482(1). 50–73. 44 indexed citations

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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