Golnar Kolahgar

798 total citations
10 papers, 585 citations indexed

About

Golnar Kolahgar is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Golnar Kolahgar has authored 10 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Immunology. Recurrent topics in Golnar Kolahgar's work include Hippo pathway signaling and YAP/TAZ (5 papers), Invertebrate Immune Response Mechanisms (3 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Golnar Kolahgar is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (5 papers), Invertebrate Immune Response Mechanisms (3 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Golnar Kolahgar collaborates with scholars based in United Kingdom and France. Golnar Kolahgar's co-authors include Eugenia Piddini, Iwo Kuciński, Saskia J.E. Suijkerbuijk, Jean-Paul Vincent, Maria Gagliardi, Jean‐Paul Vincent, Pierre‐Luc Bardet, Pascal Meier, Anita Mynett and Irene Miguel‐Aliaga and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Development.

In The Last Decade

Golnar Kolahgar

9 papers receiving 578 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Golnar Kolahgar United Kingdom 8 319 296 135 88 48 10 585
Jesús M. López-Gay France 8 328 1.0× 477 1.6× 81 0.6× 79 0.9× 53 1.1× 10 699
Marta Portela Australia 14 408 1.3× 356 1.2× 95 0.7× 84 1.0× 53 1.1× 25 644
Claire de la Cova United States 7 587 1.8× 451 1.5× 173 1.3× 125 1.4× 105 2.2× 11 949
Francesca Froldi Australia 11 309 1.0× 285 1.0× 76 0.6× 75 0.9× 30 0.6× 15 482
Jean-Paul Vincent United Kingdom 8 596 1.9× 407 1.4× 79 0.6× 114 1.3× 34 0.7× 11 882
Hsin-Ho Sung Germany 10 454 1.4× 470 1.6× 83 0.6× 105 1.2× 53 1.1× 12 699
Erika Doná Germany 4 171 0.5× 205 0.7× 63 0.5× 75 0.9× 82 1.7× 5 399
William McDowell United States 8 489 1.5× 82 0.3× 40 0.3× 36 0.4× 19 0.4× 8 590
Yu-ichiro Nakajima Japan 9 306 1.0× 236 0.8× 94 0.7× 73 0.8× 29 0.6× 24 514
Richa Rikhy India 17 652 2.0× 331 1.1× 30 0.2× 108 1.2× 19 0.4× 34 810

Countries citing papers authored by Golnar Kolahgar

Since Specialization
Citations

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

Fields of papers citing papers by Golnar Kolahgar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Golnar Kolahgar

This figure shows the co-authorship network connecting the top 25 collaborators of Golnar Kolahgar. A scholar is included among the top collaborators of Golnar Kolahgar 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 Golnar Kolahgar. Golnar Kolahgar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Roubinet, Chantal, et al.. (2025). The transmembrane protein Syndecan is required for stem cell survival and maintenance of their nuclear properties. PLoS Genetics. 21(2). e1011586–e1011586.
3.
Kuciński, Iwo, et al.. (2017). Chronic activation of JNK JAK/STAT and oxidative stress signalling causes the loser cell status. Nature Communications. 8(1). 136–136. 83 indexed citations
4.
Suijkerbuijk, Saskia J.E., Golnar Kolahgar, Iwo Kuciński, & Eugenia Piddini. (2016). Cell Competition Drives the Growth of Intestinal Adenomas in Drosophila. Current Biology. 26(4). 428–438. 114 indexed citations
5.
Kolahgar, Golnar, Saskia J.E. Suijkerbuijk, Iwo Kuciński, et al.. (2015). Cell Competition Modifies Adult Stem Cell and Tissue Population Dynamics in a JAK-STAT-Dependent Manner. Developmental Cell. 34(3). 297–309. 63 indexed citations
6.
Wagstaff, Laura, Golnar Kolahgar, & Eugenia Piddini. (2012). Competitive cell interactions in cancer: a cellular tug of war. Trends in Cell Biology. 23(4). 160–167. 54 indexed citations
7.
Kolahgar, Golnar, Pierre‐Luc Bardet, Paul F. Langton, Cyrille Alexandre, & Jean‐Paul Vincent. (2011). Apical deficiency triggers JNK-dependent apoptosis in the embryonic epidermis of Drosophila. Development. 138(14). 3021–3031. 15 indexed citations
8.
Vincent, Jean-Paul, Golnar Kolahgar, Maria Gagliardi, & Eugenia Piddini. (2011). Steep Differences in Wingless Signaling Trigger Myc-Independent Competitive Cell Interactions. Developmental Cell. 21(2). 366–374. 106 indexed citations
9.
Bardet, Pierre‐Luc, Golnar Kolahgar, Anita Mynett, et al.. (2008). A fluorescent reporter of caspase activity for live imaging. Proceedings of the National Academy of Sciences. 105(37). 13901–13905. 135 indexed citations
10.
Ferbus, Didier, et al.. (2005). Zinc finger protein overexpressed in colon carcinoma interacts with the telomeric protein hRap1. Journal of Cellular Biochemistry. 95(4). 763–768. 8 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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