Tze How Mok

30 total papers · 472 total citations
16 papers, 143 citations indexed

About

Tze How Mok is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Tze How Mok has authored 16 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Neurology and 4 papers in Neurology. Recurrent topics in Tze How Mok's work include Prion Diseases and Protein Misfolding (16 papers), Neurological diseases and metabolism (7 papers) and Trace Elements in Health (4 papers). Tze How Mok is often cited by papers focused on Prion Diseases and Protein Misfolding (16 papers), Neurological diseases and metabolism (7 papers) and Trace Elements in Health (4 papers). Tze How Mok collaborates with scholars based in United Kingdom, United States and Sweden. Tze How Mok's co-authors include Simon Mead, John Collinge, Akın Nihat, Graham S. Jackson, Andrew G.B. Thompson, Peter Rudge, Jonathan M. Schott, Samantha W. Jones, Henrik Zetterberg and Nick C. Fox and has published in prestigious journals such as Nature Communications, Scientific Reports and The Lancet Neurology.

In The Last Decade

Tze How Mok

13 papers receiving 141 citations

Author Peers

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

Author Last Decade Papers Cites
Tze How Mok 130 62 23 18 14 16 143
Óscar López-Pérez 122 0.9× 50 0.8× 24 1.0× 23 1.3× 25 1.8× 16 158
Akın Nihat 122 0.9× 60 1.0× 20 0.9× 33 1.8× 23 1.6× 18 223
Claudia Ponto 185 1.4× 87 1.4× 30 1.3× 36 2.0× 32 2.3× 10 227
Waqas Tahir 154 1.2× 68 1.1× 21 0.9× 19 1.1× 68 4.9× 19 203
Arlette Welaratne 124 1.0× 62 1.0× 18 0.8× 23 1.3× 21 1.5× 8 139
Shane Wiebe 136 1.0× 18 0.3× 12 0.5× 8 0.4× 19 1.4× 13 214
Saioa R. Elezgarai 251 1.9× 120 1.9× 84 3.7× 24 1.3× 38 2.7× 16 276
Omar Hikmat 226 1.7× 14 0.2× 15 0.7× 13 0.7× 27 1.9× 20 273
Katy Murray 115 0.9× 51 0.8× 12 0.5× 85 4.7× 12 0.9× 16 232
Di Xu 85 0.7× 59 1.0× 7 0.3× 7 0.4× 7 0.5× 12 228

Countries citing papers authored by Tze How Mok

Since Specialization
Citations

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

Fields of papers citing papers by Tze How Mok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tze How Mok. 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 Tze How Mok. The network helps show where Tze How Mok may publish in the future.

Co-authorship network of co-authors of Tze How Mok

This figure shows the co-authorship network connecting the top 25 collaborators of Tze How Mok. A scholar is included among the top collaborators of Tze How Mok 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 Tze How Mok. Tze How Mok 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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