Daniel C.-T. Lu

5.7k citations
120 papers · 4.2k · h-index 38

Impact in

Papers in

    • Spine and Intervertebral Disc Pathology 25
    • Spinal Cord Injury Research 16
    • Spinal Fractures and Fixation Techniques 19
    • Cervical and Thoracic Myelopathy 11

Daniel C.-T. Lu

117 papers receiving 4.1k citations

Peers

Daniel C.-T. Lu
Comparison fields: 5 of 141
  • Pathology and Forensic Medicine 1.3k
  • Neurology 384
  • Rehabilitation 207
  • Surgery 1.2k
  • Physiology 675
Replace Shiro Imagama with:
Shiro Imagama Japan
Giovanni Grasso Italy
Beth A. Winkelstein United States
Wen‐Cheng Huang Taiwan
A. Macedo de Oliveira Brazil
Hongyu Zhang China
Juan Pablo de Rivero Vaccari United States
Seiji Ohtori Japan
Chengqi He China
Michael Tal Israel
Daniel C.-T. Lu relative to Shiro Imagama Japan Shiro Imagama's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel C.-T. Lu

Since Specialization
Citations

This map shows the geographic impact of Daniel C.-T. Lu'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 Daniel C.-T. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C.-T. Lu more than expected).

Fields of papers citing papers by Daniel C.-T. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C.-T. Lu. 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 Daniel C.-T. Lu. The network helps show where Daniel C.-T. Lu may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel C.-T. Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel C.-T. Lu Line = papers co-authored together Daniel C.-T. Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000348
2 2015256
3 2015147
4 2017143
5 2014129
6 2016125
7 2011111
8 2006109
9 2022106
10 200991
11 200890
12 200588
13 200287
14 200386
15 201881
16 201280
17 200575
18 200375
19 200573
20 201068

About Daniel C.-T. Lu

Daniel C.-T. Lu is a scholar working on Pathology and Forensic Medicine, Surgery, Rehabilitation, Endocrine and Autonomic Systems and Neurology, having authored 120 papers that have together received 4.2k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (25 papers), Spinal Fractures and Fixation Techniques (19 papers), Spinal Cord Injury Research (16 papers), Cervical and Thoracic Myelopathy (11 papers), Muscle activation and electromyography studies (7 papers), Musculoskeletal pain and rehabilitation (6 papers), Stroke Rehabilitation and Recovery (6 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.3k citations), Neurology (384 citations), Rehabilitation (207 citations), Surgery (1.2k citations) and Physiology (675 citations). Daniel C.-T. Lu has collaborated with scholars based in United States, Taiwan and Russia. Frequent co-authors include Dean Chou, Edward H. Koo, Dale E. Bredesen, Yury Gerasimenko, Victor Reggie Edgerton, Sharon Zdunowski, Rahul Roy, Praveen V. Mummaneni, Tianyi Niu and Zsolt E. Zador. Their work appears in journals such as Journal of Neurosurgery Spine, Neurosurgery, Scientific Reports, Spine and Journal of Neurotrauma.

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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