Katherine W. Rogers

2.1k total citations
22 papers, 1.4k citations indexed

About

Katherine W. Rogers is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Katherine W. Rogers has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Cell Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Katherine W. Rogers's work include Developmental Biology and Gene Regulation (10 papers), Congenital heart defects research (5 papers) and Zebrafish Biomedical Research Applications (4 papers). Katherine W. Rogers is often cited by papers focused on Developmental Biology and Gene Regulation (10 papers), Congenital heart defects research (5 papers) and Zebrafish Biomedical Research Applications (4 papers). Katherine W. Rogers collaborates with scholars based in United States, Germany and Austria. Katherine W. Rogers's co-authors include Alexander F. Schier, Patrick Müller, Drew N. Robson, Sharad Ramanathan, Michael Brand, Anassuya Ramachandran, Probir Chakravarty, Caroline S. Hill, J. Vogt and Pedro Vizán and has published in prestigious journals such as Science, Nature Communications and Nature Cell Biology.

In The Last Decade

Katherine W. Rogers

22 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine W. Rogers United States 13 1.1k 430 151 138 127 22 1.4k
Miki Ebisuya Japan 22 1.7k 1.5× 517 1.2× 236 1.6× 166 1.2× 162 1.3× 32 2.3k
Anna Kicheva Austria 20 1.6k 1.5× 773 1.8× 190 1.3× 279 2.0× 147 1.2× 33 2.0k
Chi‐Kuo Hu United States 14 1.0k 1.0× 858 2.0× 102 0.7× 70 0.5× 160 1.3× 17 1.9k
George T. Eisenhoffer United States 13 1.2k 1.1× 517 1.2× 169 1.1× 70 0.5× 86 0.7× 26 1.8k
Jeremiah J. Zartman United States 21 601 0.6× 372 0.9× 204 1.4× 222 1.6× 64 0.5× 58 1.1k
Luis M. Escudero Spain 20 562 0.5× 483 1.1× 125 0.8× 200 1.4× 58 0.5× 52 1.2k
Danelle Devenport United States 22 1.2k 1.1× 933 2.2× 99 0.7× 195 1.4× 171 1.3× 36 1.8k
John H. Henson United States 21 828 0.8× 549 1.3× 52 0.3× 186 1.3× 124 1.0× 44 1.7k
Christian Bökel Germany 17 883 0.8× 479 1.1× 66 0.4× 238 1.7× 129 1.0× 23 1.3k
Benjamin Steventon United Kingdom 21 1.2k 1.1× 389 0.9× 170 1.1× 121 0.9× 150 1.2× 47 1.5k

Countries citing papers authored by Katherine W. Rogers

Since Specialization
Citations

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

Fields of papers citing papers by Katherine W. Rogers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine W. Rogers. 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 Katherine W. Rogers. The network helps show where Katherine W. Rogers may publish in the future.

Co-authorship network of co-authors of Katherine W. Rogers

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine W. Rogers. A scholar is included among the top collaborators of Katherine W. Rogers 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 Katherine W. Rogers. Katherine W. Rogers 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.
Schauer, Alexandra, Bob Zimmermann, Katherine W. Rogers, et al.. (2024). Analysis of SMAD1/5 target genes in a sea anemone reveals ZSWIM4-6 as a novel BMP signaling modulator. eLife. 13. 3 indexed citations
2.
Saul, A. J., et al.. (2023). Optogenetic Signaling Activation in Zebrafish Embryos. Journal of Visualized Experiments. 1 indexed citations
3.
Skokowa, Julia, Birte Hernandez Alvarez, M.P. Coles, et al.. (2022). A topological refactoring design strategy yields highly stable granulopoietic proteins. Nature Communications. 13(1). 2948–2948. 9 indexed citations
4.
Čapek, Daniel, et al.. (2022). Regulation of Nodal signaling propagation by receptor interactions and positive feedback. eLife. 11. 6 indexed citations
5.
Howard, Patricia B., et al.. (2021). Sustained impact of an academic-practice partnership. Journal of Professional Nursing. 37(5). 995–1003. 4 indexed citations
6.
Alvarez, Birte Hernandez, Julia Skokowa, M.P. Coles, et al.. (2020). Design of novel granulopoietic proteins by topological rescaffolding. PLoS Biology. 18(12). e3000919–e3000919. 9 indexed citations
7.
Rogers, Katherine W. & Patrick Müller. (2019). Optogenetic approaches to investigate spatiotemporal signaling during development. Current topics in developmental biology. 137. 37–77. 12 indexed citations
8.
Almuedo‐Castillo, María, et al.. (2018). Scale-invariant patterning by size-dependent inhibition of Nodal signalling. Nature Cell Biology. 20(9). 1032–1042. 50 indexed citations
9.
Rogers, Katherine W. & Patrick Müller. (2018). Nodal and BMP dispersal during early zebrafish development. Developmental Biology. 447(1). 14–23. 30 indexed citations
10.
Rogers, Katherine W.. (2018). The Evaluation of Advanced Practice Providers Practice Patterns and Delivery of Care Models in the Specialty Practice Environment. UKnowledge (University of Kentucky). 2 indexed citations
11.
Ramachandran, Anassuya, Pedro Vizán, Debipriya Das, et al.. (2018). TGF-β uses a novel mode of receptor activation to phosphorylate SMAD1/5 and induce epithelial-to-mesenchymal transition. eLife. 7. 163 indexed citations
12.
Donovan, Prudence, Katherine W. Rogers, Katja Muehlethaler, et al.. (2017). Paracrine Activin-A Signaling Promotes Melanoma Growth and Metastasis through Immune Evasion. Journal of Investigative Dermatology. 137(12). 2578–2587. 27 indexed citations
13.
Norris, Megan L., Andrea Pauli, James A. Gagnon, et al.. (2017). Toddler signaling regulates mesodermal cell migration downstream of Nodal signaling. eLife. 6. 25 indexed citations
14.
Rogers, Katherine W., Nathan D. Lord, James A. Gagnon, et al.. (2017). Nodal patterning without Lefty inhibitory feedback is functional but fragile. eLife. 6. 51 indexed citations
15.
Rogers, Katherine W., et al.. (2017). Dynamics of BMP signaling and distribution during zebrafish dorsal-ventral patterning. eLife. 6. 59 indexed citations
16.
Rogers, Katherine W., et al.. (2015). Measuring Protein Stability in Living Zebrafish Embryos Using Fluorescence Decay After Photoconversion (FDAP). Journal of Visualized Experiments. 52266–52266. 12 indexed citations
17.
Rogers, Katherine W., et al.. (2015). Measuring Protein Stability in Living Zebrafish Embryos Using Fluorescence Decay After Photoconversion (FDAP). Journal of Visualized Experiments. 4 indexed citations
18.
Müller, Patrick, et al.. (2012). Differential Diffusivity of Nodal and Lefty Underlies a Reaction-Diffusion Patterning System. Science. 336(6082). 721–724. 283 indexed citations
19.
Rogers, Katherine W. & Alexander F. Schier. (2011). Morphogen Gradients: From Generation to Interpretation. Annual Review of Cell and Developmental Biology. 27(1). 377–407. 429 indexed citations
20.
Cho, Saeyoull, Katherine W. Rogers, & David S. Fay. (2007). The C. elegans Glycopeptide Hormone Receptor Ortholog, FSHR-1, Regulates Germline Differentiation and Survival. Current Biology. 17(3). 203–212. 40 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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