F. Javier Casado

84 papers receiving 2.9k citations

Peers

F. Javier Casado
Comparison fields: 5 of 121
  • Physiology 1.3k
  • Biochemistry 405
  • Transplantation 140
  • Oncology 1.1k
  • Virology 121
Replace Amy M.L. Ng with:
Amy M.L. Ng Canada
Marçal Pastor‐Anglada Spain
Yutaka Natsumeda United States
Josep M. Aran Spain
Suren N. Sehgal United States
Filippo Carlucci Italy
Kasper M.A. Rouschop Netherlands
Sergio Catz United States
Curt Peterson Sweden
Mary Ann Accavitti United States
F. Javier Casado relative to Amy M.L. Ng Canada Amy M.L. Ng's profile →
Citations per field
00.5×1.6×
Amy M.L. Ng · 1×
Citations per year

Countries citing papers authored by F. Javier Casado

Since Specialization
Citations

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

Fields of papers citing papers by F. Javier Casado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Javier Casado. 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 F. Javier Casado. The network helps show where F. Javier Casado may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nucleoside transporter profiles in human pancreatic cancer cells: role of hCNT1 in 2',2'-difluorodeoxycytidine- induced cytotoxicity.
2003174
2 2009132
3 2007120
4 2004110
5 200388
6 200686
7 200185
8 200480
9 200477
10 200171
11 200171
12
Expression of human equilibrative nucleoside transporter 1 (hENT1) and its correlation with gemcitabine uptake and cytotoxicity in mantle cell lymphoma.
200670
13 200868
14 200164
15 200060
16 200757
17 200756
18 200053
19 199851
20 200449

About F. Javier Casado

F. Javier Casado is a scholar working on Physiology, Oncology, Molecular Biology, Biochemistry and Surgery, having authored 84 papers that have together received 2.9k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (50 papers), Drug Transport and Resistance Mechanisms (28 papers), Amino Acid Enzymes and Metabolism (19 papers), Pancreatic function and diabetes (12 papers), Ion Transport and Channel Regulation (10 papers), Pharmacological Effects and Toxicity Studies (9 papers), Metabolism and Genetic Disorders (7 papers) and HIV/AIDS drug development and treatment (7 papers). The work is most often cited by research in Physiology (1.3k citations), Biochemistry (405 citations), Transplantation (140 citations), Oncology (1.1k citations) and Virology (121 citations). F. Javier Casado has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Marçal Pastor‐Anglada, Míriam Molina‐Arcas, Antônio Felipe, José Manuel García-Manteiga, Ekaitz Errasti‐Murugarren, Raquel Valdés, M. Pilar Lostao, Ignacio M. Larráyoz, Pedro Cano‐Soldado and Ivette Aymerich. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Molecular Pharmacology and FEBS Letters.

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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