C Rivas

17 total papers · 670 total citations
10 papers, 428 citations indexed

About

C Rivas is a scholar working on Hematology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, C Rivas has authored 10 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 3 papers in Molecular Biology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in C Rivas's work include Acute Lymphoblastic Leukemia research (3 papers), Acute Myeloid Leukemia Research (3 papers) and Retinoids in leukemia and cellular processes (2 papers). C Rivas is often cited by papers focused on Acute Lymphoblastic Leukemia research (3 papers), Acute Myeloid Leukemia Research (3 papers) and Retinoids in leukemia and cellular processes (2 papers). C Rivas collaborates with scholars based in Spain and Chile. C Rivas's co-authors include Josep‐María Ribera, Mar Tormo, Albert Oriol, Eloy del Potro, Teresa Bernal, Jesús María Hernández‐Rivas, Pilar Bastida, Salut Brunet, Evarist Feliú and Carlota Calvo and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Molecular Sciences and European Journal of Cancer.

In The Last Decade

C Rivas

10 papers receiving 421 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
C Rivas 312 310 122 85 74 10 428
Maria Cristina Puzzolo 271 0.9× 255 0.8× 157 1.3× 83 1.0× 56 0.8× 7 427
JM Boiron 253 0.8× 384 1.2× 183 1.5× 60 0.7× 70 0.9× 15 486
Mary Papaioannou 192 0.6× 346 1.1× 104 0.9× 117 1.4× 54 0.7× 13 456
Henrik Schr�der 234 0.8× 151 0.5× 58 0.5× 93 1.1× 99 1.3× 13 371
C. Knechtli 339 1.1× 356 1.1× 69 0.6× 43 0.5× 94 1.3× 9 425
Sofia von Palffy 148 0.5× 262 0.8× 92 0.8× 137 1.6× 59 0.8× 10 430
Lilia Corral 240 0.8× 262 0.8× 55 0.5× 185 2.2× 108 1.5× 15 445
Russell J. Garland 288 0.9× 301 1.0× 60 0.5× 48 0.6× 78 1.1× 12 394
Regina Reutzel 285 0.9× 298 1.0× 151 1.2× 69 0.8× 86 1.2× 8 492
WA Kamps 271 0.9× 208 0.7× 67 0.5× 37 0.4× 123 1.7× 11 394

Countries citing papers authored by C Rivas

Since Specialization
Citations

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

Fields of papers citing papers by C Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C Rivas

This figure shows the co-authorship network connecting the top 25 collaborators of C Rivas. A scholar is included among the top collaborators of C Rivas 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 C Rivas. C Rivas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026