G. Cavet

1.0k citations
17 papers · 785 · h-index 11

Impact in

    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research
    • Biosimilars and Bioanalytical Methods

Papers in

G. Cavet

17 papers receiving 765 citations

Peers

G. Cavet
Comparison fields: 5 of 58
  • Rheumatology 554
  • Immunology 141
  • Hematology 65
  • Genetics 40
  • Radiology, Nuclear Medicine and Imaging 81
Replace Румен Стоилов with:
Румен Стоилов Bulgaria
Samy Metyas United States
Y.W. Song South Korea
Yoshie Sanayama Japan
Sylke Kaltenhäuser Germany
Magdalena Szmyrka−Kaczmarek Poland
Aderajew Waka Germany
Eva Tomero Spain
Lucyna Korman Poland
Gro Østli Eilertsen Norway
G. Cavet relative to Румен Стоилов Bulgaria Румен Стоилов's profile →
Citations per field
00.5×3.7×
Румен Стоилов · 1×
Citations per year

Countries citing papers authored by G. Cavet

Since Specialization
Citations

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

Fields of papers citing papers by G. Cavet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2012139
2 2013132
3 2012132
4 201293
5 201370
6 201270
7 201353
8 201336
9 201418
10 201218
11 201314
12 20123
13 20132
14 20132
15
A Multi-Biomarker Disease Activity (Vectra DA) Algorithm Score for Rheumatoid Arthritis Predicts Radiographic Progression in the BeSt Study
20111
16 20131
17 20131

About G. Cavet

G. Cavet is a scholar working on Rheumatology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Economics and Econometrics and General Health Professions, having authored 17 papers that have together received 785 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (14 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Hermeneutics and Narrative Identity (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Aging, Elder Care, and Social Issues (1 paper). The work is most often cited by research in Rheumatology (554 citations), Immunology (141 citations), Hematology (65 citations), Genetics (40 citations) and Radiology, Nuclear Medicine and Imaging (81 citations). G. Cavet has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Douglas J. Haney, Lyndal K. Hesterberg, Michael Centola, Yijing Shen, T. Huizinga, Annette H M van der Helm–van Mil, Michael E. Weinblatt, Rachel Knevel, Saroja Ramanujan and David Chernoff. Their work appears in journals such as Annals of the Rheumatic Diseases, Lara D. Veeken, Arthritis Care & Research, Modern Rheumatology and The Journal of Rheumatology.

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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