Tim Shaw

3.3k citations
16 papers · 2.5k indexed · 2 hit papers · h-index 9

Tim Shaw

15 papers receiving 2.4k citations

Hit Papers

Safety pr...124200420262011201850010001.5k

Peers

Tim Shaw
Comparison fields: 5 of 99
  • Rheumatology 1.3k
  • Genetics 576
  • Immunology 902
  • Hematology 463
  • Radiology, Nuclear Medicine and Imaging 640
Replace D. Close with:
D. Close United States
Anna Filipowicz‐Sosnowska Poland
Satoshi Kubo Japan
Edward M Vital United Kingdom
Koichi Amano Japan
G Spencer-Green United States
Jonathan S. Coblyn United States
Jean‐Claude Becker United States
E. Hessey United Kingdom
Fabien B. Vincent Australia
Tim Shaw relative to D. Close United States D. Close's profile →
Citations per field
00.5×1.5×
D. Close · 1×
Citations per year

Countries citing papers authored by Tim Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Tim Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1
Safety profile of upadacitinib over 15 000 patient-years across rheumatoid arthritis, psoriatic arthritis, ankylosing spondylitis and atopic dermatitisbreakdown →
2023124
2 20226
3 20222
4 202133
5 20216
6 20218
7 20190
8 20191
9 201532
10 201179
11 201117
12 201062
13
A Multidisciplinary Approach to Limb Preservation: The Role of V.A.C. ® Therapy
20094
14 2007110
15
Efficacy of B-Cell–Targeted Therapy with Rituximab in Patients with Rheumatoid Arthritisbreakdown →
20041950
16 200030

About Tim Shaw

Tim Shaw is a scholar working on Rheumatology, Hematology, Genetics, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 2.5k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (14 papers), Autoimmune and Inflammatory Disorders Research (8 papers), Chronic Lymphocytic Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Spondyloarthritis Studies and Treatments (3 papers), Systemic Lupus Erythematosus Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Rheumatology (1.3k citations), Genetics (576 citations), Immunology (902 citations), Hematology (463 citations) and Radiology, Nuclear Medicine and Imaging (640 citations). Tim Shaw has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Jonathan Edwards, D. Close, L Szczepański, Jacek Szechiński, Paul Emery, Randall M. Stevens, Anna Filipowicz‐Sosnowska, Stanley Cohen, Charles Peterfy and Sunil Agarwal. Their work appears in journals such as Annals of the Rheumatic Diseases, Lara D. Veeken, Drug Safety, The Journal of Clinical Pharmacology and New England Journal of 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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2026