Raechel Peralta

24 total papers · 1.5k total citations
14 papers, 1.2k citations indexed

About

Raechel Peralta is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Raechel Peralta has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Immunology. Recurrent topics in Raechel Peralta's work include Kruppel-like factors research (3 papers), Cancer-related molecular mechanisms research (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). Raechel Peralta is often cited by papers focused on Kruppel-like factors research (3 papers), Cancer-related molecular mechanisms research (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). Raechel Peralta collaborates with scholars based in United States and United Kingdom. Raechel Peralta's co-authors include Brett P. Monia, Shuling Guo, Gene Hung, Bradley McEvoy, Steven G. Hughes, Sotirios Tsimikas, Nguyen C. Pham, Eunju Hurh, Brenda F. Baker and Andrés Digenio and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Investigation and Blood.

In The Last Decade

Raechel Peralta

13 papers receiving 1.2k citations

Hit Papers

Cardiovascular and Metabo... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Raechel Peralta 588 285 269 247 207 14 1.2k
Marjolein Kerver 340 0.6× 203 0.7× 161 0.6× 116 0.5× 240 1.2× 12 1.2k
Andrew Ching 331 0.6× 194 0.7× 399 1.5× 243 1.0× 93 0.4× 8 1.3k
Ariane Galaup 666 1.1× 342 1.2× 127 0.5× 371 1.5× 74 0.4× 17 1.3k
Nguyen C. Pham 604 1.0× 315 1.1× 104 0.4× 222 0.9× 244 1.2× 11 1.1k
K. Graf 587 1.0× 324 1.1× 75 0.3× 171 0.7× 94 0.5× 19 1.1k
Nicolas Prévost 441 0.8× 193 0.7× 162 0.6× 142 0.6× 32 0.2× 21 1.2k
Fred de Sauvage 821 1.4× 298 1.0× 50 0.2× 270 1.1× 199 1.0× 8 1.5k
Cheryl S. Mueske 412 0.7× 196 0.7× 122 0.5× 131 0.5× 52 0.3× 16 982
Eugene G. Levin 542 0.9× 164 0.6× 51 0.2× 557 2.3× 132 0.6× 27 1.5k
M Keeton 432 0.7× 130 0.5× 102 0.4× 604 2.4× 52 0.3× 13 1.3k

Countries citing papers authored by Raechel Peralta

Since Specialization
Citations

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

Fields of papers citing papers by Raechel Peralta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raechel Peralta

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