Kay Eckelt

577 total citations
10 papers, 434 citations indexed

About

Kay Eckelt is a scholar working on Molecular Biology, Materials Chemistry and Global and Planetary Change. According to data from OpenAlex, Kay Eckelt has authored 10 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Materials Chemistry and 3 papers in Global and Planetary Change. Recurrent topics in Kay Eckelt's work include Photochromic and Fluorescence Chemistry (5 papers), Receptor Mechanisms and Signaling (3 papers) and Marine Ecology and Invasive Species (3 papers). Kay Eckelt is often cited by papers focused on Photochromic and Fluorescence Chemistry (5 papers), Receptor Mechanisms and Signaling (3 papers) and Marine Ecology and Invasive Species (3 papers). Kay Eckelt collaborates with scholars based in Spain, France and Italy. Kay Eckelt's co-authors include Pau Gorostiza, Artur Llobet, Laura Nevola, Ernest Giralt, Núria Camarero, Sébastien Tosi, Jean‐Philippe Pin, Jesús Giraldo, James A. R. Dalton and Amadeu Llebaria and has published in prestigious journals such as Angewandte Chemie International Edition, Development and Genome biology.

In The Last Decade

Kay Eckelt

10 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kay Eckelt Spain 8 300 176 174 80 74 10 434
M. Su Taiwan 15 355 1.2× 79 0.4× 153 0.9× 28 0.3× 16 0.2× 23 580
Wenxia Zhang China 10 144 0.5× 57 0.3× 195 1.1× 23 0.3× 6 0.1× 21 482
Annalisa Lena Italy 13 550 1.8× 10 0.1× 67 0.4× 31 0.4× 328 4.4× 13 665
Yilei Wang China 11 165 0.6× 77 0.4× 33 0.2× 33 0.4× 21 0.3× 43 409
Nancy Hawkins United States 12 775 2.6× 23 0.1× 58 0.3× 18 0.2× 23 0.3× 17 970
Laila Farzana United States 6 254 0.8× 18 0.1× 80 0.5× 6 0.1× 30 0.4× 9 318
Yoshikazu Haramoto Japan 14 412 1.4× 14 0.1× 96 0.6× 11 0.1× 20 0.3× 41 584
Laurence von Kalm United States 14 386 1.3× 170 1.0× 300 1.7× 6 0.1× 5 0.1× 17 809
Yu-ichiro Nakajima Japan 9 306 1.0× 9 0.1× 73 0.4× 8 0.1× 33 0.4× 24 514
Monica Dines Israel 11 193 0.6× 22 0.1× 116 0.7× 4 0.1× 8 0.1× 24 362

Countries citing papers authored by Kay Eckelt

Since Specialization
Citations

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

Fields of papers citing papers by Kay Eckelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kay Eckelt

This figure shows the co-authorship network connecting the top 25 collaborators of Kay Eckelt. A scholar is included among the top collaborators of Kay Eckelt 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 Kay Eckelt. Kay Eckelt 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.
Herrera-Úbeda, Carlos, et al.. (2020). Planarian cell number depends on blitzschnell, a novel gene family that balances cell proliferation and cell death. Development. 147(7). 12 indexed citations
2.
Nevola, Laura, et al.. (2018). Targeted Nanoswitchable Inhibitors of Protein–Protein Interactions Involved in Apoptosis. ChemMedChem. 14(1). 100–106. 7 indexed citations
4.
Pittolo, Silvia, Xavier Gómez‐Santacana, Kay Eckelt, et al.. (2014). An allosteric modulator to control endogenous G protein-coupled receptors with light. Nature Chemical Biology. 10(10). 813–815. 137 indexed citations
5.
Eckelt, Kay, et al.. (2014). Automated high-throughput measurement of body movements and cardiac activity of Xenopus tropicalis tadpoles. Journal of Biological Methods. 1(2). 1–1. 3 indexed citations
6.
Nevola, Laura, Kay Eckelt, Núria Camarero, et al.. (2013). Light‐Regulated Stapled Peptides to Inhibit Protein–Protein Interactions Involved in Clathrin‐Mediated Endocytosis. Angewandte Chemie International Edition. 52(30). 7704–7708. 76 indexed citations
7.
Nevola, Laura, Kay Eckelt, Núria Camarero, et al.. (2013). Light‐Regulated Stapled Peptides to Inhibit Protein–Protein Interactions Involved in Clathrin‐Mediated Endocytosis. Angewandte Chemie. 125(30). 7858–7862. 25 indexed citations
8.
Eckelt, Kay. (2011). Multi-approach analysis for identification and functional characterization of eye regeneration related genes of schmidtea mediterranea. Dialnet (Universidad de la Rioja). 1 indexed citations
9.
Saló, Emili, Josep F. Abril, Teresa Adell, et al.. (2009). Planarian regeneration: achievements and future directions after 20 years of research. The International Journal of Developmental Biology. 53(8-9-10). 1317–1327. 93 indexed citations
10.
Habermann, Bianca, Michael Volkmer, Kay Eckelt, et al.. (2004). An Ambystoma mexicanumEST sequencing project: analysis of 17,352 expressed sequence tags from embryonic and regenerating blastema cDNA libraries. Genome biology. 5(9). R67–R67. 62 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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