Amarda Shehu

101 papers and 1.6k indexed citations i.

About

Amarda Shehu is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Amarda Shehu has authored 101 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 32 papers in Materials Chemistry and 15 papers in Computational Theory and Mathematics. Recurrent topics in Amarda Shehu’s work include Protein Structure and Dynamics (73 papers), Enzyme Structure and Function (25 papers) and Machine Learning in Bioinformatics (25 papers). Amarda Shehu is often cited by papers focused on Protein Structure and Dynamics (73 papers), Enzyme Structure and Function (25 papers) and Machine Learning in Bioinformatics (25 papers). Amarda Shehu collaborates with scholars based in United States, Israel and France. Amarda Shehu's co-authors include Uday Kamath, Daniel Veltri, Lydia E. Kavraki, Cecilia Clementi, Ruth Nussinov, Buyong Ma, Brian Olson, Kevin Molloy, Kenneth De Jong and Jacob C. Nordman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Amarda Shehu i

Fields of papers citing papers by Amarda Shehu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amarda Shehu

Since Specialization
Citations

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