Danielle Tenen

17 papers and 1.7k indexed citations i.

About

Danielle Tenen is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Danielle Tenen has authored 17 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Physiology and 3 papers in Epidemiology. Recurrent topics in Danielle Tenen’s work include Adipose Tissue and Metabolism (7 papers), RNA modifications and cancer (3 papers) and Single-cell and spatial transcriptomics (3 papers). Danielle Tenen is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), RNA modifications and cancer (3 papers) and Single-cell and spatial transcriptomics (3 papers). Danielle Tenen collaborates with scholars based in United States, Singapore and Denmark. Danielle Tenen's co-authors include Evan D. Rosen, Anna Lyubetskaya, Linus Tsai, David G. Hendrickson, David R. Kelley, John L. Rinn, Manju Kumari, Hyun Cheol Roh, Tune H. Pers and Jon M. Resch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Danielle Tenen i

Fields of papers citing papers by Danielle Tenen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danielle Tenen

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025