Fuencisla Matesanz

2.9k citations
61 papers · 1.3k · h-index 22

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Multiple Sclerosis Research Studies

Papers in

Fuencisla Matesanz

59 papers receiving 1.3k citations

Peers

Fuencisla Matesanz
Comparison fields: 5 of 86
  • Immunology 515
  • Pathology and Forensic Medicine 371
  • Rheumatology 137
  • Oncology 182
  • Genetics 190
Replace Dan Lehmann with:
Dan Lehmann Israel
Elena B. Samoilova United States
Luca Castelli Italy
Elizabeth G. Lingenheld United States
Anna Lobell Sweden
Edward D. Howard United States
M. Pette Germany
Ilona Gutcher Germany
Lisa Larson United States
Vinko Toševski Switzerland
Fuencisla Matesanz relative to Dan Lehmann Israel Dan Lehmann's profile →
Citations per field
00.5×5.7×
Dan Lehmann · 1×
Citations per year

Countries citing papers authored by Fuencisla Matesanz

Since Specialization
Citations

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

Fields of papers citing papers by Fuencisla Matesanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201293
2 200469
3 200569
4 200967
5 201159
6 201054
7 200154
8 201150
9 200646
10 201045
11 201043
12 200836
13 200634
14 201134
15 199933
16 201031
17 201430
18 201029
19 200828
20 201428

About Fuencisla Matesanz

Fuencisla Matesanz is a scholar working on Immunology, Pathology and Forensic Medicine, Molecular Biology, Oncology and Genetics, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (17 papers), Cytokine Signaling Pathways and Interactions (11 papers), Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (9 papers), Genetic Associations and Epidemiology (6 papers), Immune Response and Inflammation (5 papers), RNA Research and Splicing (4 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Immunology (515 citations), Pathology and Forensic Medicine (371 citations), Rheumatology (137 citations), Oncology (182 citations) and Genetics (190 citations). Fuencisla Matesanz has collaborated with scholars based in Spain, United States and Czechia. Frequent co-authors include Antonio Alcina, Marı́a Fedetz, Óscar Fernández, Concepción Delgado, Laura Leyva, Guillermo Izquierdo, Elena Urcelay, Miguel Lucas, Miguel Guerrero and Dorothy Ndagire. Their work appears in journals such as PLoS ONE, Journal of Neuroimmunology, European Journal of Human Genetics, Genes and Immunity and Multiple Sclerosis Journal.

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