Timothy L. Siu

541 citations
26 papers · 363 indexed · h-index 11
Topics
Spine and Intervertebral Disc Pathology (7 papers)Neuroscience and Neural Engineering (5 papers)Advanced Memory and Neural Computing (4 papers)
Partner nations
AustraliaUnited States

In The Last Decade

Timothy L. Siu

24 papers receiving 354 citations

Peers

Timothy L. Siu
Comparison fields: 5 of 58
  • Surgery 129
  • Molecular Biology 70
  • Pulmonary and Respiratory Medicine 65
  • Genetics 62
  • Pathology and Forensic Medicine 61
Replace Dhananjaya I. Bhat with:
Dhananjaya I. Bhat India
Cengiz Çokluk Türkiye
Kazuyoshi Yamazaki Japan
Wolfgang Marik Austria
Samira Yadegari Iran
Vittoria Nazzi Italy
Kaiming Gao China
Youqiong Li China
D Maîtrot France
Ryan Murtagh United States
Timothy L. Siu relative to Dhananjaya I. Bhat India Dhananjaya I. Bhat's profile →
Citations per field
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Dhananjaya I. Bhat · 1×
Citations per year

Countries citing papers authored by Timothy L. Siu

Since Specialization
Citations

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

Fields of papers citing papers by Timothy L. Siu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy L. Siu. 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 Timothy L. Siu. The network helps show where Timothy L. Siu may publish in the future.

Co-authorship network of co-authors of Timothy L. Siu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 45
4 9
5 7
6 12
7 48
8 24
9 12
10 18
11 8
12 38
13 4
14 2
15 5
16 49
17 11
18 5
19 27
20 19

About Timothy L. Siu

Timothy L. Siu is a scholar working on Pathology and Forensic Medicine, Genetics and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 363 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (7 papers), Neuroscience and Neural Engineering (5 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Genetics (62 citations), Orthopedics and Sports Medicine (35 citations) and Neurology (58 citations). Timothy L. Siu has collaborated with scholars based in Australia and United States. Frequent co-authors include K. Nadana Chandran, John W. Morley, Charles Teo, Suyun Huang, John Fuller, Sicong Zhang, Zhongyong Wang, Jeffrey M. Rogers, Robert G. Thompson and Rosalind L. Jeffree. Their work appears in journals such as European Journal of Neuroscience, Current Pharmaceutical Design and European Spine Journal.

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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