Rafael E. Curiel

28 total papers · 1.1k total citations
22 papers, 848 citations indexed

About

Rafael E. Curiel is a scholar working on Oncology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rafael E. Curiel has authored 22 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 11 papers in Immunology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rafael E. Curiel's work include Immune Cell Function and Interaction (7 papers), Cytokine Signaling Pathways and Interactions (6 papers) and T-cell and B-cell Immunology (4 papers). Rafael E. Curiel is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Cytokine Signaling Pathways and Interactions (6 papers) and T-cell and B-cell Immunology (4 papers). Rafael E. Curiel collaborates with scholars based in United States, Italy and Canada. Rafael E. Curiel's co-authors include Premal H. Patel, Robert J. Motzer, Coleman K. Obasaju, Howard A. Young, Christopher J. Sweeney, Fairooz F. Kabbinavar, M. Arning, Steven J. Nicol, Bruce J. Roth and Donald S. Kaufman and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

In The Last Decade

Rafael E. Curiel

22 papers receiving 837 citations

Author Peers

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

Author Last Decade Papers Cites
Rafael E. Curiel 337 266 249 225 206 22 848
John S. Babcook 273 0.8× 250 0.9× 361 1.4× 164 0.7× 74 0.4× 18 921
R. Heicappell 161 0.5× 258 1.0× 222 0.9× 130 0.6× 259 1.3× 38 860
Salomé González‐Reyes 322 1.0× 158 0.6× 252 1.0× 318 1.4× 169 0.8× 34 973
Mee-Sook Roh 623 1.8× 188 0.7× 296 1.2× 70 0.3× 253 1.2× 28 1.0k
Wing Y. Chan 345 1.0× 152 0.6× 150 0.6× 167 0.7× 246 1.2× 25 802
Douglas J. Dorahy 144 0.4× 137 0.5× 325 1.3× 173 0.8× 69 0.3× 21 911
A Fabiano 212 0.6× 237 0.9× 300 1.2× 97 0.4× 334 1.6× 22 991
Arne Burkhardt 291 0.9× 225 0.8× 300 1.2× 132 0.6× 95 0.5× 23 919
Anna Zhou 159 0.5× 181 0.7× 377 1.5× 249 1.1× 68 0.3× 25 866
Stefan Gattenloehner 241 0.7× 284 1.1× 235 0.9× 261 1.2× 80 0.4× 31 929

Countries citing papers authored by Rafael E. Curiel

Since Specialization
Citations

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

Fields of papers citing papers by Rafael E. Curiel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael E. Curiel. 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 Rafael E. Curiel. The network helps show where Rafael E. Curiel may publish in the future.

Co-authorship network of co-authors of Rafael E. Curiel

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael E. Curiel. A scholar is included among the top collaborators of Rafael E. Curiel 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 Rafael E. Curiel. Rafael E. Curiel 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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