Grant D. Huang

18.7k citations
96 papers · 7.8k indexed · 3 hit papers · h-index 35
Topics
Musculoskeletal pain and rehabilitation (23 papers)Posttraumatic Stress Disorder Research (21 papers)Ergonomics and Musculoskeletal Disorders (13 papers)

In The Last Decade

Grant D. Huang

93 papers receiving 7.4k citations

Hit Papers

Glucose Control and Vascular Complications in Veterans wi...200820262014202020082010202510002.0k3.0k

Peers

Grant D. Huang
Comparison fields: 5 of 154
  • Endocrinology, Diabetes and Metabolism 2.9k
  • Pharmacology 1.3k
  • Rehabilitation 1.0k
  • Surgery 880
  • Cardiology and Cardiovascular Medicine 879
Replace Linda S. Pescatello with:
Linda S. Pescatello United States
Martin Stevens Netherlands
Mary Ann Forciea United States
Torsten Lauritzen Denmark
James O. Judge United States
Pasqualina Santaguida Canada
Rainer Rauramaa Finland
Paul Oh Canada
Pauli Puukka Finland
Sandra Richardson New Zealand
Grant D. Huang relative to Linda S. Pescatello United States Linda S. Pescatello's profile →
Citations per field
00.5×3.8×
Linda S. Pescatello · 1×
Citations per year

Countries citing papers authored by Grant D. Huang

Since Specialization
Citations

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

Fields of papers citing papers by Grant D. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grant D. Huang. 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 Grant D. Huang. The network helps show where Grant D. Huang may publish in the future.

Co-authorship network of co-authors of Grant D. Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Grant D. Huang. A scholar is included among the top collaborators of Grant D. Huang 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 Grant D. Huang. Grant D. Huang 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 26
2 9
3 5
4 9
5 14
6 16
7 1
8 5
9 3
10 6
11 9
12 17
13 150
14
Robot-Assisted Therapy for Long-Term Upper-Limb Impairment after Strokebreakdown →
993
15 86
16 16
17 63
18 40
19 149
20 77

About Grant D. Huang

Grant D. Huang is a scholar working on Medical Laboratory Technology, Occupational Therapy and Pharmacology, having authored 96 papers that have together received 7.8k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (23 papers), Posttraumatic Stress Disorder Research (21 papers) and Ergonomics and Musculoskeletal Disorders (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.9k citations), Rehabilitation (1.0k citations) and Medical Laboratory Technology (232 citations). Grant D. Huang has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Stuart Warren, Nicholas Emanuele, William C. Duckworth, Domenic J. Reda, Franklin J. Zieve, Peter D. Reaven, Stephen N. Davis, Steven Goldman, Thomas Moritz and Rodney A. Hayward. Their work appears in journals such as New England Journal of Medicine, JAMA and Annals of Internal Medicine.

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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