Melissa Haendel

137 papers and 4.4k indexed citations i.

About

Melissa Haendel is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Melissa Haendel has authored 137 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 40 papers in Artificial Intelligence and 37 papers in Genetics. Recurrent topics in Melissa Haendel’s work include Biomedical Text Mining and Ontologies (62 papers), Genomics and Rare Diseases (28 papers) and Semantic Web and Ontologies (26 papers). Melissa Haendel is often cited by papers focused on Biomedical Text Mining and Ontologies (62 papers), Genomics and Rare Diseases (28 papers) and Semantic Web and Ontologies (26 papers). Melissa Haendel collaborates with scholars based in United States, United Kingdom and Germany. Melissa Haendel's co-authors include Chris Mungall, Suzanna Lewis, Peter N. Robinson, Georgios V. Gkoutos, Nicole Vasilevsky, Christopher G. Chute, Nicole L. Washington, Carlo Torniai, Michael Ashburner and Monte Westerfield and has published in prestigious journals such as New England Journal of Medicine, Bioinformatics and Gastroenterology.

In The Last Decade

Co-authorship network of co-authors of Melissa Haendel i

Fields of papers citing papers by Melissa Haendel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Melissa Haendel

Since Specialization
Citations

This map shows the geographic impact of Melissa Haendel'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 Melissa Haendel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Haendel 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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2025