Kathleen A. Galindo

612 total citations
8 papers, 495 citations indexed

About

Kathleen A. Galindo is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Kathleen A. Galindo has authored 8 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Kathleen A. Galindo's work include RNA Research and Splicing (4 papers), Sarcoma Diagnosis and Treatment (3 papers) and Cell death mechanisms and regulation (3 papers). Kathleen A. Galindo is often cited by papers focused on RNA Research and Splicing (4 papers), Sarcoma Diagnosis and Treatment (3 papers) and Cell death mechanisms and regulation (3 papers). Kathleen A. Galindo collaborates with scholars based in United States, France and Austria. Kathleen A. Galindo's co-authors include Dean P. Smith, John Abrams, Rene L. Galindo, Jae H. Park, Wan-Jin Lu, Lisa E.S. Crose, Rex C. Bentley, Jen‐Tsan Chi, Corinne M. Linardic and Nabeel Bardeesy and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Development.

In The Last Decade

Kathleen A. Galindo

8 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathleen A. Galindo United States 7 230 225 142 134 70 8 495
Joori Park South Korea 14 344 1.5× 123 0.5× 65 0.5× 92 0.7× 41 0.6× 17 553
Alina Garbuzov United States 7 192 0.8× 136 0.6× 166 1.2× 101 0.8× 21 0.3× 7 593
E. Thomas Danielsen Denmark 13 169 0.7× 232 1.0× 75 0.5× 203 1.5× 23 0.3× 14 526
Saurabh G. Roy United States 10 278 1.2× 205 0.9× 172 1.2× 75 0.6× 55 0.8× 10 574
Yukako Hattori Japan 10 168 0.7× 192 0.9× 41 0.3× 44 0.3× 73 1.0× 34 446
Kim Fechtel United States 10 591 2.6× 229 1.0× 48 0.3× 211 1.6× 74 1.1× 12 777
Andrés Dekanty Argentina 14 388 1.7× 142 0.6× 43 0.3× 97 0.7× 179 2.6× 24 671
Ana Talamillo Spain 15 352 1.5× 148 0.7× 37 0.3× 122 0.9× 45 0.6× 20 577
Nicole Steinbach United States 8 259 1.1× 104 0.5× 96 0.7× 53 0.4× 21 0.3× 9 488
Hiroyuki Kose Japan 12 221 1.0× 137 0.6× 88 0.6× 152 1.1× 73 1.0× 48 548

Countries citing papers authored by Kathleen A. Galindo

Since Specialization
Citations

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

Fields of papers citing papers by Kathleen A. Galindo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathleen A. Galindo. 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 Kathleen A. Galindo. The network helps show where Kathleen A. Galindo may publish in the future.

Co-authorship network of co-authors of Kathleen A. Galindo

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

All Works

8 of 8 papers shown
1.
Galindo, Kathleen A., et al.. (2019). Selective Targeting of Myoblast Fusogenic Signaling and Differentiation-Arrest Antagonizes Rhabdomyosarcoma Cells. Cancer Research. 79(18). 4585–4591. 7 indexed citations
2.
Galindo, Kathleen A., et al.. (2014). A Rapid One-Generation Genetic Screen in aDrosophilaModel to Capture Rhabdomyosarcoma Effectors and Therapeutic Targets. G3 Genes Genomes Genetics. 5(2). 205–217. 4 indexed citations
3.
Crose, Lisa E.S., Kathleen A. Galindo, Julien Fitamant, et al.. (2013). Alveolar rhabdomyosarcoma–associated PAX3-FOXO1 promotes tumorigenesis via Hippo pathway suppression. Journal of Clinical Investigation. 124(1). 285–296. 98 indexed citations
4.
Galindo, Kathleen A., et al.. (2011). Drosophila and mammalian models uncover a role for the myoblast fusion gene TANC1 in rhabdomyosarcoma. Journal of Clinical Investigation. 122(1). 403–407. 22 indexed citations
5.
Chew, Su Kit, et al.. (2009). Genome-wide silencing in Drosophila captures conserved apoptotic effectors. Nature. 460(7251). 123–127. 30 indexed citations
6.
Joza, Nicholas, Kathleen A. Galindo, J. Andrew Pospisilik, et al.. (2008). The molecular archaeology of a mitochondrial death effector: AIF in Drosophila. Cell Death and Differentiation. 15(6). 1009–1018. 46 indexed citations
7.
Galindo, Kathleen A., Wan-Jin Lu, Jae H. Park, & John Abrams. (2008). The Bax/Bak ortholog inDrosophila, Debcl, exerts limited control over programmed cell death. Development. 136(2). 275–283. 48 indexed citations
8.
Galindo, Kathleen A. & Dean P. Smith. (2001). A Large Family of Divergent Drosophila Odorant-Binding Proteins Expressed in Gustatory and Olfactory Sensilla. Genetics. 159(3). 1059–1072. 240 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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