Sooyeol Lim

628 citations
13 papers · 462 indexed · h-index 9

Impact in

Papers in

Sooyeol Lim

12 papers receiving 448 citations

Peers

Sooyeol Lim
Comparison fields: 5 of 79
  • Rheumatology 224
  • Orthopedics and Sports Medicine 68
  • Pharmacology 94
  • Occupational Therapy 20
  • Urology 30
Replace Brent E. Appleton with:
Brent E. Appleton United States
Branko Šestan Croatia
Gianfilippo Bagnato Italy
Susanna Maddali Bongi Italy
Eduardo Branco de Sousa Brazil
Andrzej Szulc Poland
N. Scuderi Italy
B L Dowling United Kingdom
T. John O'Dowd United Kingdom
Matthew R. McCann Canada
Sooyeol Lim relative to Brent E. Appleton United States Brent E. Appleton's profile →
Citations per field
00.5×3.3×
Brent E. Appleton · 1×
Citations per year

Countries citing papers authored by Sooyeol Lim

Since Specialization
Citations

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

Fields of papers citing papers by Sooyeol Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sooyeol Lim. 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 Sooyeol Lim. The network helps show where Sooyeol Lim may publish in the future.

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20240
2 20232
3 20233
4 201821
5 201616
6 201621
7 2015100
8 200929
9 200831
10 2007172
11
Association of toll-like receptor 4 variants and ankylosing spondylitis: a case-control study.
200741
12 200619
13 20057

About Sooyeol Lim

Sooyeol Lim is a scholar working on Rheumatology, Pharmacology, Hepatology, Immunology and Nephrology, having authored 13 papers that have together received 462 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Pulmonary Hypertension Research and Treatments (3 papers), Total Knee Arthroplasty Outcomes (3 papers), Liver Disease and Transplantation (2 papers), Genetic Associations and Epidemiology (2 papers), Cardiovascular Issues in Pregnancy (2 papers) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Rheumatology (224 citations), Orthopedics and Sports Medicine (68 citations), Pharmacology (94 citations), Occupational Therapy (20 citations) and Urology (30 citations). Sooyeol Lim has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Celia M.T. Greenwood, Proton Rahman, Christopher M. Butt, Vinod Dasa, Roy D. Altman, R. Grant Steen, P. F. Heeckt, Janice Husted, Robert D. Inman and Eva W.C. Chow. Their work appears in journals such as BMC Musculoskeletal Disorders, Modern Rheumatology, Statistical Applications in Genetics and Molecular Biology, Journal of Medical Economics and Drugs in Context.

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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