Kenneth H. Moberg

4.1k total citations
69 papers, 3.2k citations indexed

About

Kenneth H. Moberg is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Kenneth H. Moberg has authored 69 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 19 papers in Cell Biology and 12 papers in Oncology. Recurrent topics in Kenneth H. Moberg's work include RNA Research and Splicing (17 papers), Hippo pathway signaling and YAP/TAZ (16 papers) and Ubiquitin and proteasome pathways (12 papers). Kenneth H. Moberg is often cited by papers focused on RNA Research and Splicing (17 papers), Hippo pathway signaling and YAP/TAZ (16 papers) and Ubiquitin and proteasome pathways (12 papers). Kenneth H. Moberg collaborates with scholars based in United States, China and Iran. Kenneth H. Moberg's co-authors include Jacqueline A. Lees, Iswar K. Hariharan, Brian Robinson, Doke C.R. Wahrer, Daphne W. Bell, Daniel A. Haber, Yang Hong, Raluca Verona, David J. Hall and Alexey Veraksa and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Kenneth H. Moberg

68 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth H. Moberg United States 26 2.4k 1.1k 1.0k 330 281 69 3.2k
Anna Elisabetta Salcini Italy 28 3.8k 1.6× 459 0.4× 1.4k 1.4× 462 1.4× 267 1.0× 46 4.6k
Christian Delphin France 22 2.4k 1.0× 516 0.5× 441 0.4× 217 0.7× 263 0.9× 29 2.9k
Damien Coudreuse France 15 2.4k 1.0× 663 0.6× 606 0.6× 444 1.3× 124 0.4× 25 3.1k
Ian P. Whitehead United States 27 2.3k 1.0× 508 0.5× 1.1k 1.1× 168 0.5× 279 1.0× 47 3.1k
Anna Philpott United Kingdom 37 3.6k 1.5× 864 0.8× 862 0.9× 638 1.9× 154 0.5× 97 4.4k
X. Johné Liu Canada 32 1.9k 0.8× 385 0.3× 781 0.8× 252 0.8× 335 1.2× 73 3.0k
John M. Parant United States 20 3.6k 1.5× 2.3k 2.1× 1.0k 1.0× 465 1.4× 276 1.0× 37 4.8k
Catherine Lindon United Kingdom 27 2.4k 1.0× 692 0.6× 1.9k 1.9× 203 0.6× 104 0.4× 53 3.6k
Étienne Formstecher France 24 2.3k 1.0× 377 0.3× 1.6k 1.6× 322 1.0× 292 1.0× 39 3.3k
Shun‐ichiro Iemura Japan 35 3.6k 1.5× 629 0.6× 1.3k 1.3× 443 1.3× 300 1.1× 77 4.5k

Countries citing papers authored by Kenneth H. Moberg

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth H. Moberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth H. Moberg. 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 Kenneth H. Moberg. The network helps show where Kenneth H. Moberg may publish in the future.

Co-authorship network of co-authors of Kenneth H. Moberg

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

All Works

20 of 20 papers shown
1.
Moberg, Kenneth H., et al.. (2025). Post‐Transcriptional Regulation of Gene Expression and the Intricate Life of Eukaryotic mRNAs. Wiley Interdisciplinary Reviews - RNA. 16(2). e70007–e70007. 2 indexed citations
2.
Moberg, Kenneth H., et al.. (2024). Local Ecdysone synthesis in a wounded epithelium sustains developmental delay and promotes regeneration in Drosophila. Development. 151(12). 2 indexed citations
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Moberg, Kenneth H., et al.. (2023). Hippo pathway and Bonus control developmental cell fate decisions in the Drosophila eye. Developmental Cell. 58(5). 416–434.e12. 3 indexed citations
6.
Leung, Sara W., Ayan Banerjee, Derrick J. Morton, et al.. (2023). The Drosophila Nab2 RNA binding protein inhibits m6A methylation and male-specific splicing of Sex lethal transcript in female neuronal tissue. eLife. 12. 5 indexed citations
7.
Yu, Dehong, et al.. (2022). The Nab2 RNA-binding protein patterns dendritic and axonal projections through a planar cell polarity-sensitive mechanism. G3 Genes Genomes Genetics. 12(6). 5 indexed citations
8.
Corbett, Anita H., et al.. (2020). A Genetic Screen Links the Disease-Associated Nab2 RNA-Binding Protein to the Planar Cell Polarity Pathway in Drosophila melanogaster. G3 Genes Genomes Genetics. 10(10). 3575–3583. 4 indexed citations
9.
Morton, Derrick J., Isaac Kremsky, Khuong B. Nguyen, et al.. (2020). A Drosophila model of Pontocerebellar Hypoplasia reveals a critical role for the RNA exosome in neurons. PLoS Genetics. 16(7). e1008901–e1008901. 11 indexed citations
10.
Banerjee, Ayan, Jennifer Rha, Christina Groß, et al.. (2017). The Conserved, Disease-Associated RNA Binding Protein dNab2 Interacts with the Fragile X Protein Ortholog in Drosophila Neurons. Cell Reports. 20(6). 1372–1384. 24 indexed citations
11.
Mukherjee, Amitava, Carol Tucker‐Burden, Changming Zhang, et al.. (2016). Drosophila Brat and Human Ortholog TRIM3 Maintain Stem Cell Equilibrium and Suppress Brain Tumorigenesis by Attenuating Notch Nuclear Transport. Cancer Research. 76(8). 2443–2452. 42 indexed citations
12.
Groß, Christina, Seth M. Kelly, Aditi Bhattacharya, et al.. (2015). Increased Expression of the PI3K Enhancer PIKE Mediates Deficits in Synaptic Plasticity and Behavior in Fragile X Syndrome. Cell Reports. 11(5). 727–736. 89 indexed citations
13.
Casas‐Tintó, Sergio, Nianwei Lin, Michael Chung, et al.. (2014). An intergenic regulatory region mediates Drosophila Myc-induced apoptosis and blocks tissue hyperplasia. Oncogene. 34(18). 2385–2397. 19 indexed citations
14.
Kelly, Seth M., ChangHui Pak, Masoud Garshasbi, et al.. (2012). New kid on the ID block. RNA Biology. 9(5). 555–562. 17 indexed citations
15.
Robinson, Brian & Kenneth H. Moberg. (2011). Drosophila endocytic neoplastic tumor suppressor genes regulate Sav/Wts/Hpo signaling and the c-Jun N-terminal kinase pathway. Cell Cycle. 10(23). 4110–4118. 20 indexed citations
16.
Gilbert‐Ross, Melissa, et al.. (2009). The archipelago Tumor Suppressor Gene Limits Rb/E2F-Regulated Apoptosis in Developing Drosophila Tissues. Current Biology. 19(18). 1503–1510. 15 indexed citations
17.
Mortimer, Nathan T. & Kenneth H. Moberg. (2007). The Drosophila F-box protein Archipelago controls levels of the Trachealess transcription factor in the embryonic tracheal system. Developmental Biology. 312(2). 560–571. 20 indexed citations
18.
Verona, Raluca, et al.. (1997). E2F Activity Is Regulated by Cell Cycle-Dependent Changes in Subcellular Localization. Molecular and Cellular Biology. 17(12). 7268–7282. 192 indexed citations
19.
Dynlacht, Brian David, Kenneth H. Moberg, Jacqueline A. Lees, Ed Harlow, & Liang Zhu. (1997). Specific Regulation of E2F Family Members by Cyclin-Dependent Kinases. Molecular and Cellular Biology. 17(7). 3867–3875. 98 indexed citations
20.
Moberg, Kenneth H., et al.. (1991). Analysis of the c‐myc P2 promoter. Journal of Cellular Physiology. 148(1). 75–84. 16 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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