Nina Goerner

720 total citations
3 papers, 595 citations indexed

About

Nina Goerner is a scholar working on Molecular Biology, Cell Biology and Infectious Diseases. According to data from OpenAlex, Nina Goerner has authored 3 papers receiving a total of 595 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 Infectious Diseases. Recurrent topics in Nina Goerner's work include Hippo pathway signaling and YAP/TAZ (2 papers), TGF-β signaling in diseases (2 papers) and Cancer-related gene regulation (2 papers). Nina Goerner is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (2 papers), TGF-β signaling in diseases (2 papers) and Cancer-related gene regulation (2 papers). Nina Goerner collaborates with scholars based in Spain and United States. Nina Goerner's co-authors include María J. Macias, Joan Massagué, Sheng Gao, Eric Aragón, Qiaoran Xi, Panyu Chen, Hediye Erdjument‐Bromage, Paul Tempst, Sadia Rahman and Claudio R. Alarcón and has published in prestigious journals such as Genes & Development, Molecular Cell and Structure.

In The Last Decade

Nina Goerner

3 papers receiving 592 citations

Peers

Nina Goerner

MB

CB

ONCOL

CR

PFM

Jessie Jeffery Australia

Susanna Tronnersjö Sweden

Maria Teresa Vento Italy

Nuria Ferrándiz United Kingdom

Vaidehi Krishnan Singapore

S. R. Dundas United Kingdom

Kristen L. Meerbrey United States

Laura A. Jaenicke Germany

Zongling Ji United Kingdom

Nam Sung Moon Canada

Jessie Jeffery Australia

Nina Goerner

346 ×0.7

MB

104 ×0.7

CB

155 ×1.3

ONCOL

85 ×1.2

CR

28 ×0.8

PFM

Citations per year, relative to Nina Goerner Nina Goerner (= 1×) peers Jessie Jeffery

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).

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.

Co-authorship network of co-authors of Nina Goerner

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Goerner. A scholar is included among the top collaborators of Nina Goerner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nina Goerner. Nina Goerner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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3 of 3 papers shown

1.

Aragón, Eric, Nina Goerner, Qiaoran Xi, et al.. (2012). Structural Basis for the Versatile Interactions of Smad7 with Regulator WW Domains in TGF-β Pathways. Structure. 20(10). 1726–1736. 83 indexed citations

2.

Aragón, Eric, Nina Goerner, Alexia-Ileana Zaromytidou, et al.. (2011). A Smad action turnover switch operated by WW domain readers of a phosphoserine code. Genes & Development. 25(12). 1275–1288. 206 indexed citations

3.

Gao, Sheng, Claudio R. Alarcón, Gopal P. Sapkota, et al.. (2009). Ubiquitin Ligase Nedd4L Targets Activated Smad2/3 to Limit TGF-β Signaling. Molecular Cell. 36(3). 457–468. 306 indexed citations

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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