V. Werth

857 citations
22 papers · 664 · h-index 7

Impact in

    • Systemic Lupus Erythematosus Research
    • Rheumatoid Arthritis Research and Therapies
    • Inflammatory Myopathies and Dermatomyositis

Papers in

V. Werth

22 papers receiving 624 citations

Peers

V. Werth
Comparison fields: 5 of 48
  • Rheumatology 515
  • Epidemiology 53
  • Pathology and Forensic Medicine 23
  • Dermatology 11
  • Immunology 26
Replace Armando Malcata with:
Armando Malcata Portugal
Helen Hoi Lun Tsang Hong Kong
Satyapal Rangaraj United Kingdom
Vera Golder Australia
Hironari Hanaoka Japan
Ignacio García-Valladares United States
Masaru Igarashi Japan
Rina Mina United States
Emma Di Poi Italy
Maura Couto Portugal
V. Werth relative to Armando Malcata Portugal Armando Malcata's profile →
Citations per field
00.5×2×3×4.4×
Armando Malcata · 1×
Citations per year

Countries citing papers authored by V. Werth

Since Specialization
Citations

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

Fields of papers citing papers by V. Werth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009296
2 2010166
3 201183
4 200842
5 201019
6 201814
7 201812
8 20176
9 20185
10 20173
11 20193
12
A new treatment for autoimmune blistering diseases- the efficacy of Bruton's tyrosinase kinase inhibitor PRN473 in canine pemphigus foliaceus
20162
13 20172
14 20222
15 20242
16 20171
17 20201
18 20221
19 20221
20 20221

About V. Werth

V. Werth is a scholar working on Rheumatology, Epidemiology, Pathology and Forensic Medicine, Dermatology and Economics and Econometrics, having authored 22 papers that have together received 664 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (11 papers), Inflammatory Myopathies and Dermatomyositis (7 papers), Autoimmune Bullous Skin Diseases (3 papers), Dermatology and Skin Diseases (1 paper), Health Education and Validation (1 paper), Systemic Sclerosis and Related Diseases (1 paper), Extracellular vesicles in disease (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Rheumatology (515 citations), Epidemiology (53 citations), Pathology and Forensic Medicine (23 citations), Dermatology (11 citations) and Immunology (26 citations). V. Werth has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Michael Krathen, David Franklin Fiorentino, Richard S. Blumberg, Russell P. Hall, Donna Aline Culton, Nathalie Franchimont, Ada Azaryan, PH Schafer, Sotonye E. Imadojemu and Scott Constantine. Their work appears in journals such as Journal of Investigative Dermatology, Annals of the Rheumatic Diseases, British Journal of Dermatology, Lupus and KARGER eBooks.

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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