Patricia Moya

897 total citations
65 papers, 565 citations indexed

About

Patricia Moya is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Patricia Moya has authored 65 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Rheumatology, 17 papers in Pulmonary and Respiratory Medicine and 12 papers in Genetics. Recurrent topics in Patricia Moya's work include Rheumatoid Arthritis Research and Therapies (22 papers), Systemic Lupus Erythematosus Research (20 papers) and Vasculitis and related conditions (14 papers). Patricia Moya is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (22 papers), Systemic Lupus Erythematosus Research (20 papers) and Vasculitis and related conditions (14 papers). Patricia Moya collaborates with scholars based in Spain, United States and Chile. Patricia Moya's co-authors include Cèsar Díaz‐Torné, Hèctor Corominas, Leopoldo Ardiles, Sergio Mezzano, Jordi Casademont, I. Castellví, Marta Sänchez‐Carbayo, Josep Maria Llobet, Sílvia Vidal and Carlos Zamora and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Patricia Moya

50 papers receiving 556 citations

Peers

Patricia Moya
Comparison fields: 5 of 63
  • Rheumatology 253
  • Molecular Biology 128
  • Pulmonary and Respiratory Medicine 111
  • Hematology 108
  • Immunology 101
Replace Ayako Nishino with:
Ayako Nishino Japan
Radjiv Goulabchand France
Elisabeth Peen Norway
Haruko Ideguchi Japan
Taiichiro Miyashita Japan
Dragomir Marisavljević Serbia
Ayumi Okuyama Japan
Cleonice Bueno Brazil
Yair Molad Israel
Monica Pendolino Italy
Ayako Nishino Japan View profile →
Citations per field, relative to Patricia Moya
Patricia Moya · 1×
Citations per year, relative to Patricia Moya
Patricia Moya · 1×

Countries citing papers authored by Patricia Moya

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Moya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Moya

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Moya. A scholar is included among the top collaborators of Patricia Moya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patricia Moya. Patricia Moya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 3
5 2
6 0
7 0
8 1
9 2
10 1
11 7
12 6
13 0
14 1
15 1
16 18
17 7
18 13
19 21
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026