Sı́lvia Casas

622 citations
21 papers · 427 indexed · h-index 11

Impact in

Papers in

Sı́lvia Casas

20 papers receiving 422 citations

Peers

Sı́lvia Casas
Comparison fields: 5 of 61
  • Transplantation 65
  • Hematology 67
  • Cell Biology 70
  • Pathology and Forensic Medicine 55
  • Surgery 127
Replace M. Marini with:
M. Marini Italy
P. Troncoso Chile
Harald O. Schöcklmann Germany
T. Tataranni Italy
Agnieszka Bierżyńska United Kingdom
Rita Foti Australia
Allie M. Roach United States
Pardeep Aggarwal United States
Yoshiki Okuyama Japan
Christopher L. O’Connor United States
Sı́lvia Casas relative to M. Marini Italy M. Marini's profile →
Citations per field
00.5×3.8×
M. Marini · 1×
Citations per year

Countries citing papers authored by Sı́lvia Casas

Since Specialization
Citations

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

Fields of papers citing papers by Sı́lvia Casas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20246
4 20245
5 20234
6 20228
7 202218
8 202130
9 202025
10 202017
11 201915
12 20192
13 201032
14 2007115
15 200422
16 200340
17 200354
18
Lymphotoxin beta expression is high in chronic lymphocytic leukemia but low in small lymphocytic lymphoma: a quantitative real-time reverse transcriptase polymerase chain reaction analysis.
200312
19
Interstitial deletions at the long arm of chromosome 13 may be as common as monosomies in multiple myeloma. A genotypic study.
20027
20 20024

About Sı́lvia Casas

Sı́lvia Casas is a scholar working on Transplantation, Hematology, Nephrology, Surgery and Genetics, having authored 21 papers that have together received 427 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (7 papers), Organ Transplantation Techniques and Outcomes (5 papers), Acute Myeloid Leukemia Research (4 papers), Organ Donation and Transplantation (4 papers), Renal Diseases and Glomerulopathies (3 papers), Transplantation: Methods and Outcomes (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Transplantation (65 citations), Hematology (67 citations), Cell Biology (70 citations), Pathology and Forensic Medicine (55 citations) and Surgery (127 citations). Sı́lvia Casas has collaborated with scholars based in Spain, United States and Finland. Frequent co-authors include Sakari Knuutila, Ramón Gomis, Anna Novials, Jordi Altirriba, Fiona M. Gribble, Anna Aventı́n, Jorge Sierra, Marcelo L. Larramendy, Bálint Nagy and Tapani Ruutu. Their work appears in journals such as Transplant International, Autoimmunity Reviews, Clinical Chemistry and Laboratory Medicine (CCLM), Diabetes and Annals of the Rheumatic Diseases.

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