See‐Lok Ho

19 total papers · 735 total citations
15 papers, 631 citations indexed

About

See‐Lok Ho is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, See‐Lok Ho has authored 15 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 7 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in See‐Lok Ho's work include Alzheimer's disease research and treatments (9 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Computational Drug Discovery Methods (3 papers). See‐Lok Ho is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Computational Drug Discovery Methods (3 papers). See‐Lok Ho collaborates with scholars based in Hong Kong, China and Macao. See‐Lok Ho's co-authors include Hung‐Wing Li, Man Shing Wong, Di Xu, Hei‐Nga Chan, Yinhui Li, Dinggeng He, Ronghua Yang, Luo Hai, Kemin Wang and Xiaoxiao He and has published in prestigious journals such as Biomaterials, Analytical Chemistry and Scientific Reports.

In The Last Decade

See‐Lok Ho

15 papers receiving 626 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
See‐Lok Ho 316 251 119 104 95 15 631
Nobuaki Shirai 306 1.0× 295 1.2× 78 0.7× 79 0.8× 39 0.4× 27 755
Sungsu Lim 274 0.9× 338 1.3× 69 0.6× 39 0.4× 70 0.7× 38 672
Giorgia De Franceschi 413 1.3× 196 0.8× 67 0.6× 34 0.3× 135 1.4× 12 768
Tonghui Huang 215 0.7× 94 0.4× 124 1.0× 90 0.9× 98 1.0× 30 606
Xin Cheng 277 0.9× 124 0.5× 167 1.4× 129 1.2× 50 0.5× 31 756
Md. Mamunul Haque 330 1.0× 226 0.9× 118 1.0× 46 0.4× 57 0.6× 32 712
Andrea K. Stoddard 348 1.1× 178 0.7× 66 0.6× 42 0.4× 139 1.5× 15 637
Pui Shan Chan 196 0.6× 104 0.4× 183 1.5× 117 1.1× 120 1.3× 14 678
Sónia S. Leal 390 1.2× 202 0.8× 81 0.7× 51 0.5× 35 0.4× 23 751
Youhong Hu 259 0.8× 125 0.5× 106 0.9× 44 0.4× 158 1.7× 38 768

Countries citing papers authored by See‐Lok Ho

Since Specialization
Citations

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

Fields of papers citing papers by See‐Lok Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by See‐Lok Ho. 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 See‐Lok Ho. The network helps show where See‐Lok Ho may publish in the future.

Co-authorship network of co-authors of See‐Lok Ho

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

All Works

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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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