Nina Goerner

3 papers and 580 indexed citations i.

About

Nina Goerner is a scholar working on Molecular Biology, Cell Biology and Industrial relations. According to data from OpenAlex, Nina Goerner has authored 3 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cell Biology and 0 papers in Industrial relations. Recurrent topics in Nina Goerner’s work include Cancer-related gene regulation (2 papers), TGF-β signaling in diseases (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Nina Goerner is often cited by papers focused on Cancer-related gene regulation (2 papers), TGF-β signaling in diseases (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Nina Goerner collaborates with scholars based in United States and Spain. Nina Goerner's co-authors include Joan Massagué, Maria J. Macías, Sheng Gao, Qiaoran Xi, Eric Aragón, Claudio R. Alarcón, Panyu Chen, Sadia Rahman, Hediye Erdjument‐Bromage and Gopal P. Sapkota and has published in prestigious journals such as Genes & Development, Molecular Cell and Structure.

In The Last Decade

Co-authorship network of co-authors of Nina Goerner i

Fields of papers citing papers by Nina Goerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nina Goerner

Since Specialization
Citations

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