Laura G. Corral

87 total papers · 7.1k total citations
61 papers, 6.0k citations indexed

About

Laura G. Corral is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Laura G. Corral has authored 61 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Hematology, 29 papers in Molecular Biology and 15 papers in Immunology. Recurrent topics in Laura G. Corral's work include Multiple Myeloma Research and Treatments (25 papers), Immune Cell Function and Interaction (9 papers) and Chronic Lymphocytic Leukemia Research (8 papers). Laura G. Corral is often cited by papers focused on Multiple Myeloma Research and Treatments (25 papers), Immune Cell Function and Interaction (9 papers) and Chronic Lymphocytic Leukemia Research (8 papers). Laura G. Corral collaborates with scholars based in United States, Switzerland and Cuba. Laura G. Corral's co-authors include Gilla Kaplan, George W. Muller, Patrick Haslett, David Stirling, Christopher Ocampo, Roger Chen, Matthew L. Albert, David H. Raulet, Yuxi Chen and Lai Mun Wong and has published in prestigious journals such as Cell, Circulation and Journal of Clinical Investigation.

In The Last Decade

Laura G. Corral

59 papers receiving 5.8k citations

Hit Papers

Differential cytokine mod... 1999 2026 2008 2017 1999 1999 2014 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Laura G. Corral 2.9k 2.8k 1.8k 1.4k 857 61 6.0k
Ann T. Farrell 2.8k 1.0× 1.6k 0.6× 2.5k 1.4× 928 0.6× 662 0.8× 75 6.6k
George W. Muller 4.9k 1.7× 5.1k 1.9× 2.9k 1.6× 1.5k 1.0× 1.3k 1.6× 83 8.8k
Martin Sattler 4.3k 1.5× 3.1k 1.1× 2.4k 1.3× 1.2k 0.8× 1.5k 1.8× 151 8.6k
Jürgen Mestan 2.3k 0.8× 1.8k 0.7× 1.1k 0.6× 509 0.4× 1.4k 1.7× 56 5.1k
Nicholas J. Donato 3.3k 1.1× 2.5k 0.9× 2.0k 1.1× 602 0.4× 1.8k 2.1× 111 6.7k
Yoshihito Shima 2.3k 0.8× 1.9k 0.7× 1.5k 0.8× 1.2k 0.8× 299 0.3× 78 5.1k
P. Maslak 2.8k 1.0× 1.7k 0.6× 3.0k 1.7× 1.1k 0.8× 682 0.8× 116 6.3k
HP Koeffler 3.1k 1.1× 2.0k 0.7× 1.8k 1.0× 1.6k 1.1× 539 0.6× 90 6.5k
Christoph Driessen 2.9k 1.0× 1.4k 0.5× 1.7k 0.9× 1.5k 1.0× 328 0.4× 144 5.8k
Mark Heaney 2.1k 0.7× 1.0k 0.4× 967 0.5× 694 0.5× 905 1.1× 91 4.5k

Countries citing papers authored by Laura G. Corral

Since Specialization
Citations

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

Fields of papers citing papers by Laura G. Corral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura G. Corral. 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 Laura G. Corral. The network helps show where Laura G. Corral may publish in the future.

Co-authorship network of co-authors of Laura G. Corral

This figure shows the co-authorship network connecting the top 25 collaborators of Laura G. Corral. A scholar is included among the top collaborators of Laura G. Corral 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 Laura G. Corral. Laura G. Corral 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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