Rafael D. Fritz

678 total citations
9 papers, 440 citations indexed

About

Rafael D. Fritz is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Rafael D. Fritz has authored 9 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Biophysics. Recurrent topics in Rafael D. Fritz's work include Receptor Mechanisms and Signaling (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Rafael D. Fritz is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Rafael D. Fritz collaborates with scholars based in Switzerland, Germany and Italy. Rafael D. Fritz's co-authors include Olivier Pertz, Katrin Martin, Andreas Reimann, Gerald Radziwill, Hyunryul Ryu, Noo Li Jeon, Laila Ritsma, Erika Fluri, Stefan Schulte‐Merker and Bas Ponsioen and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Developmental Cell.

In The Last Decade

Rafael D. Fritz

9 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rafael D. Fritz Switzerland	8	308	173	78	62	37	9	440
Anka G Ehrhardt United States	10	443 1.4×	132 0.8×	91 1.2×	83 1.3×	82 2.2×	10	584
Tejeshwar C. Rao United States	12	228 0.7×	153 0.9×	66 0.8×	31 0.5×	18 0.5×	27	405
Judith Wardwell-Swanson United States	10	242 0.8×	87 0.5×	49 0.6×	27 0.4×	30 0.8×	15	436
Nathalie R. Reinhard Netherlands	11	298 1.0×	139 0.8×	70 0.9×	25 0.4×	32 0.9×	12	410
Jakobus van Unen Netherlands	10	312 1.0×	130 0.8×	78 1.0×	27 0.4×	31 0.8×	13	445
Gregor Reither Germany	12	501 1.6×	87 0.5×	97 1.2×	39 0.6×	26 0.7×	14	650
Marieke Willemse Netherlands	15	398 1.3×	67 0.4×	105 1.3×	26 0.4×	73 2.0×	21	592
Debopriya Das United States	8	528 1.7×	141 0.8×	87 1.1×	16 0.3×	54 1.5×	10	694
Marcel Raspe Netherlands	9	138 0.4×	53 0.3×	70 0.9×	59 1.0×	36 1.0×	12	326
Devaraj Subramanian Germany	9	297 1.0×	238 1.4×	71 0.9×	24 0.4×	30 0.8×	9	476

Countries citing papers authored by Rafael D. Fritz

Since Specialization

Citations

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

Fields of papers citing papers by Rafael D. Fritz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael D. Fritz. 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 Rafael D. Fritz. The network helps show where Rafael D. Fritz may publish in the future.

Co-authorship network of co-authors of Rafael D. Fritz

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

All Works

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9 of 9 papers shown

Kempf, Anissa, Enrica Boda, Jessica C. F. Kwok, et al.. (2017). Control of Cell Shape, Neurite Outgrowth, and Migration by a Nogo-A/HSPG Interaction. Developmental Cell. 43(1). 24–34.e5. 28 indexed citations

Martin, Katrin, Andreas Reimann, Rafael D. Fritz, et al.. (2016). Spatio-temporal co-ordination of RhoA, Rac1 and Cdc42 activation during prototypical edge protrusion and retraction dynamics. Scientific Reports. 6(1). 21901–21901. 89 indexed citations

Blum, Yannick, Rafael D. Fritz, Hyunryul Ryu, & Olivier Pertz. (2016). Measuring ERK Activity Dynamics in Single Living Cells Using FRET Biosensors. Methods in molecular biology. 1487. 203–221. 6 indexed citations

Fritz, Rafael D., et al.. (2015). SrGAP2-Dependent Integration of Membrane Geometry and Slit-Robo-Repulsive Cues Regulates Fibroblast Contact Inhibition of Locomotion. Developmental Cell. 35(1). 78–92. 56 indexed citations

Fritz, Rafael D., Andreas Reimann, Katrin Martin, et al.. (2013). A Versatile Toolkit to Produce Sensitive FRET Biosensors to Visualize Signaling in Time and Space. Science Signaling. 6(285). rs12–rs12. 169 indexed citations

Fritz, Rafael D. & Gerald Radziwill. (2011). CNK1 and other scaffolds for Akt/FoxO signaling. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1813(11). 1971–1977. 16 indexed citations

Fritz, Rafael D. & Gerald Radziwill. (2010). CNK1 Promotes Invasion of Cancer Cells through NF-κB–Dependent Signaling. Molecular Cancer Research. 8(3). 395–406. 25 indexed citations

Boisguérin, Prisca, Bernhard Aÿ, Gerald Radziwill, et al.. (2007). Characterization of a Putative Phosphorylation Switch: Adaptation of SPOT Synthesis to Analyze PDZ Domain Regulation Mechanisms. ChemBioChem. 8(18). 2302–2307. 30 indexed citations

Fritz, Rafael D. & Gerald Radziwill. (2005). The scaffold protein CNK1 interacts with the angiotensin II type 2 receptor. Biochemical and Biophysical Research Communications. 338(4). 1906–1912. 21 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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