Gemma Sais

20 papers receiving 406 citations

Peers

Gemma Sais
Comparison fields: 5 of 51
  • Rheumatology 148
  • Dermatology 69
  • Pulmonary and Respiratory Medicine 219
  • Pathology and Forensic Medicine 67
  • Nephrology 27
Replace Víctor M. Martínez-Taboada with:
Víctor M. Martínez-Taboada Spain
Susan E. Mackel United States
Youri Chanseaud France
Stefania Colantuono Italy
Sophie Toya United States
T. Quéméneur France
Hoda Kavosi Iran
P. F. Gambari Italy
Luisa Praderio Italy
Marian C. Finan United States
Gemma Sais relative to Víctor M. Martínez-Taboada Spain Víctor M. Martínez-Taboada's profile →
Citations per field
00.5×
Víctor M. Martínez-Taboada · 1×
Citations per year

Countries citing papers authored by Gemma Sais

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Sais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Gemma Sais, 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 Gemma Sais Line = papers co-authored together Gemma Sais links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1998107
2 199598
3 200647
4
Adhesion molecule expression and endothelial cell activation in cutaneous leukocytoclastic vasculitis. An immunohistologic and clinical study in 42 patients.
199728
5 199519
6 199618
7 199518
8 199717
9 199614
10 199612
11 199711
12 20069
13 19968
14 20077
15 20066
16 20075
17 19944
18 19944
19 19963
20 20161

About Gemma Sais

Gemma Sais is a scholar working on Dermatology, Pulmonary and Respiratory Medicine, Epidemiology, Cell Biology and Genetics, having authored 20 papers that have together received 436 indexed citations. Recurring topics across this work include Vasculitis and related conditions (5 papers), Inflammatory Myopathies and Dermatomyositis (2 papers), IgG4-Related and Inflammatory Diseases (2 papers), Skin and Cellular Biology Research (2 papers), Sympathectomy and Hyperhidrosis Treatments (2 papers), Mycobacterium research and diagnosis (2 papers), Dermatological and Skeletal Disorders (2 papers) and Chemotherapy-related skin toxicity (2 papers). The work is most often cited by research in Rheumatology (148 citations), Dermatology (69 citations), Pulmonary and Respiratory Medicine (219 citations), Pathology and Forensic Medicine (67 citations) and Nephrology (27 citations). Gemma Sais has collaborated with scholars based in Spain. Frequent co-authors include Jordi Peyrı́, Anna Jucglá, Antonio Vidaller, Octavio Servitje, Enric Condom, Abelardo Moreno, N. Curcó, Daniel Serón, X. Bordas and Asunción Moreno. Their work appears in journals such as British Journal of Dermatology, Journal of the American Academy of Dermatology, Clinical and Experimental Dermatology, Journal of Cutaneous Pathology and Journal of Clinical Oncology.

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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