La Jolla

About

La Jolla is a scholar working on Genetics, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, La Jolla has authored 9 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Genetics, 1 paper in Molecular Biology and 1 paper in Biomedical Engineering. Recurrent topics in La Jolla’s work include Matrix Theory and Algorithms (1 paper), Genomics and Chromatin Dynamics (1 paper) and Approximation Theory and Sequence Spaces (1 paper). La Jolla is often cited by papers focused on Matrix Theory and Algorithms (1 paper), Genomics and Chromatin Dynamics (1 paper) and Approximation Theory and Sequence Spaces (1 paper). La Jolla collaborates with scholars based in United States, Israel and Italy. La Jolla's co-authors include Gerald A. M. Finerman, J. Michael Kabo, Sharon Stevenson, Lily Wu, Arnold Berk, Jay R. Lieberman, Owen N. Witte, Aaron Daluiski, Aharon Atzmon and Peter Fillmore and has published in prestigious journals such as Nature, Journal of Bone and Joint Surgery and Medicine & Science in Sports & Exercise.

In The Last Decade

Co-authorship network of co-authors of La Jolla i

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Fields of papers citing papers by La Jolla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by La Jolla

Since Specialization

Citations

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

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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