Mui Hong Tan

10 total papers · 477 total citations
9 papers, 374 citations indexed

About

Mui Hong Tan is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Mui Hong Tan has authored 9 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 4 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in Mui Hong Tan's work include Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Traumatic Brain Injury Research (3 papers) and Cardiac Arrest and Resuscitation (2 papers). Mui Hong Tan is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Traumatic Brain Injury Research (3 papers) and Cardiac Arrest and Resuscitation (2 papers). Mui Hong Tan collaborates with scholars based in Singapore, United Kingdom and China. Mui Hong Tan's co-authors include Lu Jia, Kian Chye Ng, Shabbir Moochhala, Eng‐Ang Ling, Enci Mary Kan, Meng Cheong Wong, Xiao‐Lei Moore, Agus Salim, Pamela Boon Li Pun and Linli Yao and has published in prestigious journals such as Journal of Neurotrauma, Journal of Neuroinflammation and Neuroscience Letters.

In The Last Decade

Mui Hong Tan

9 papers receiving 361 citations

Author Peers

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

Author Last Decade Papers Cites
Mui Hong Tan 174 162 96 70 57 9 374
C.M. Simon 139 0.8× 111 0.7× 114 1.2× 23 0.3× 25 0.4× 6 420
Nazer H. Qureshi 118 0.7× 133 0.8× 93 1.0× 43 0.6× 12 0.2× 8 389
Christopher D. Hue 220 1.3× 172 1.1× 97 1.0× 11 0.2× 63 1.1× 10 364
Marie-Emmanuelle Dilenge 133 0.8× 57 0.4× 48 0.5× 37 0.5× 15 0.3× 10 421
F. R. Latimer 165 0.9× 185 1.1× 43 0.4× 53 0.8× 24 0.4× 8 436
D E Erb 249 1.4× 173 1.1× 125 1.3× 42 0.6× 57 1.0× 7 433
Antje Dreyer 52 0.3× 72 0.4× 72 0.8× 48 0.7× 28 0.5× 13 374
Mark V. Reichman 184 1.1× 177 1.1× 11 0.1× 43 0.6× 33 0.6× 8 395
Asha Bakshi 124 0.7× 92 0.6× 127 1.3× 58 0.8× 29 0.5× 6 343
Avi Cohen 123 0.7× 85 0.5× 64 0.7× 23 0.3× 17 0.3× 10 333

Countries citing papers authored by Mui Hong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Mui Hong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mui Hong Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Mui Hong Tan. A scholar is included among the top collaborators of Mui Hong Tan 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 Mui Hong Tan. Mui Hong Tan 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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