Ronal M. Peralta

24 total papers · 2.2k total citations
12 papers, 1.5k citations indexed

About

Ronal M. Peralta is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Ronal M. Peralta has authored 12 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Ronal M. Peralta's work include Immune Cell Function and Interaction (9 papers), Immune cells in cancer (4 papers) and CAR-T cell therapy research (3 papers). Ronal M. Peralta is often cited by papers focused on Immune Cell Function and Interaction (9 papers), Immune cells in cancer (4 papers) and CAR-T cell therapy research (3 papers). Ronal M. Peralta collaborates with scholars based in United States, China and Portugal. Ronal M. Peralta's co-authors include Greg M. Delgoffe, Amanda C. Poholek, Natalie Rittenhouse, Paolo Vignali, Ashley V. Menk, Kristin DePeaux, B. Rhodes Ford, Nicole E. Scharping, Dayana B. Rivadeneira and Abigail E. Overacre-Delgoffe and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Nature Immunology.

In The Last Decade

Ronal M. Peralta

10 papers receiving 1.5k citations

Hit Papers

Metabolic support of tumo... 2021 2026 2022 2024 2021 2021 2024 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Ronal M. Peralta 860 554 546 494 180 12 1.5k
McLane J. Watson 781 0.9× 543 1.0× 481 0.9× 431 0.9× 158 0.9× 10 1.3k
Paolo Vignali 1.1k 1.2× 682 1.2× 683 1.3× 583 1.2× 214 1.2× 17 1.9k
Ryan D. Whetstone 971 1.1× 740 1.3× 685 1.3× 613 1.2× 168 0.9× 8 1.8k
Natalie Rittenhouse 1.1k 1.2× 590 1.1× 637 1.2× 480 1.0× 175 1.0× 12 1.9k
Russell Hughes 744 0.9× 616 1.1× 683 1.3× 362 0.7× 266 1.5× 17 1.7k
Huiyin Lan 597 0.7× 502 0.9× 920 1.7× 525 1.1× 145 0.8× 18 1.7k
Theerawut Chanmee 794 0.9× 733 1.3× 876 1.6× 407 0.8× 271 1.5× 13 2.1k
Xiaoqian Zhang 803 0.9× 406 0.7× 863 1.6× 629 1.3× 158 0.9× 12 1.7k
Pawared Ontong 760 0.9× 690 1.2× 756 1.4× 376 0.8× 234 1.3× 8 1.7k
Fabien Franco 1.1k 1.3× 719 1.3× 647 1.2× 507 1.0× 111 0.6× 14 1.9k

Countries citing papers authored by Ronal M. Peralta

Since Specialization
Citations

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

Fields of papers citing papers by Ronal M. Peralta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronal M. Peralta. 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 Ronal M. Peralta. The network helps show where Ronal M. Peralta may publish in the future.

Co-authorship network of co-authors of Ronal M. Peralta

This figure shows the co-authorship network connecting the top 25 collaborators of Ronal M. Peralta. A scholar is included among the top collaborators of Ronal M. Peralta 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 Ronal M. Peralta. Ronal M. Peralta 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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