S.M. Ling

972 citations
15 papers · 812 · h-index 12

Impact in

Papers in

S.M. Ling

15 papers receiving 775 citations

Peers

S.M. Ling
Comparison fields: 5 of 73
  • Health Informatics 47
  • Rheumatology 211
  • Pharmacology 134
  • Anesthesiology and Pain Medicine 43
  • Physical Therapy, Sports Therapy and Rehabilitation 34
Replace Jeannie F. Bailey with:
Jeannie F. Bailey United States
Leticia A. Deveza Australia
Sergio De Salvatore Italy
Richard J. Herzog United States
Tue Secher Jensen Denmark
Joyce Goggins United States
Jonathan N. Sembrano United States
David F. Fardon United States
Alessia Rabini Italy
Maryse Fortin Canada
S.M. Ling relative to Jeannie F. Bailey United States Jeannie F. Bailey's profile →
Citations per field
00.5×5×10×16.2×
Jeannie F. Bailey · 1×
Citations per year

Countries citing papers authored by S.M. Ling

Since Specialization
Citations

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

Fields of papers citing papers by S.M. Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.M. Ling. 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 S.M. Ling. The network helps show where S.M. Ling may publish in the future.

Co-authors

The 25 scholars most cited alongside S.M. Ling, 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 S.M. Ling Line = papers co-authored together S.M. Ling links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2008182
2 1999104
3 2009102
4 201071
5 200863
6 199960
7 200751
8 199842
9 200037
10 201129
11
The accuracy of self-report of physician diagnosed rheumatoid arthritis in moderately to severely disabled older women. Women's Health and Aging Collaborative Research Group.
200028
12 200622
13 199912
14 20076
15 20063

About S.M. Ling

S.M. Ling is a scholar working on Rheumatology, Cardiology and Cardiovascular Medicine, Pharmacology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 812 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (6 papers), Cardiovascular Health and Disease Prevention (3 papers), Medical Imaging and Analysis (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Muscle activation and electromyography studies (1 paper), Rheumatoid Arthritis Research and Therapies (1 paper) and Orthopedic Surgery and Rehabilitation (1 paper). The work is most often cited by research in Health Informatics (47 citations), Rheumatology (211 citations), Pharmacology (134 citations), Anesthesiology and Pain Medicine (43 citations) and Physical Therapy, Sports Therapy and Rehabilitation (34 citations). S.M. Ling has collaborated with scholars based in United States, Brazil and Italy. Frequent co-authors include Luigi Ferrucci, Jack M. Guralnik, William W. Scott, I. Goldberg, Lior Shamir, Tomasz J. Macura, David Mark Eckley, Nikita V. Orlov, Ângelo José Gonçalves Bós and Suzanne G. Leveille. Their work appears in journals such as Osteoarthritis and Cartilage, The Journals of Gerontology Series A, American Journal of Hypertension, Aging Clinical and Experimental Research and IEEE Transactions on Biomedical Engineering.

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.

Explore authors with similar magnitude of impact