Adrián E. Granada

1.2k total citations
20 papers, 746 citations indexed

About

Adrián E. Granada is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Adrián E. Granada has authored 20 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrine and Autonomic Systems, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Plant Science. Recurrent topics in Adrián E. Granada's work include Circadian rhythm and melatonin (16 papers), Photoreceptor and optogenetics research (7 papers) and Light effects on plants (6 papers). Adrián E. Granada is often cited by papers focused on Circadian rhythm and melatonin (16 papers), Photoreceptor and optogenetics research (7 papers) and Light effects on plants (6 papers). Adrián E. Granada collaborates with scholars based in Germany, United States and Denmark. Adrián E. Granada's co-authors include Hanspeter Herzel, Achim Kramer, Ute Abraham, Pål O. Westermark, Grigory Bordyugov, Katharina Imkeller, R. Matthias Hennig, Bernhard Ronacher, Anna Erzberger and Antoni Díez‐Noguera and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Adrián E. Granada

17 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrián E. Granada Germany 11 566 290 249 135 132 20 746
Casey O. Diekman United States 13 394 0.7× 302 1.0× 84 0.3× 112 0.8× 79 0.6× 30 629
Christoph Schmal Germany 13 293 0.5× 158 0.5× 135 0.5× 141 1.0× 74 0.6× 24 507
Alexis B. Webb United States 8 266 0.5× 182 0.6× 89 0.4× 117 0.9× 51 0.4× 12 423
Céline Feillet France 15 791 1.4× 195 0.7× 119 0.5× 156 1.2× 428 3.2× 20 1.0k
Rikuhiro G. Yamada Japan 9 670 1.2× 226 0.8× 357 1.4× 175 1.3× 201 1.5× 17 876
Koji L. Ode Japan 15 259 0.5× 135 0.5× 101 0.4× 335 2.5× 90 0.7× 32 769
Mitsugu Sujino Japan 11 382 0.7× 148 0.5× 93 0.4× 112 0.8× 161 1.2× 16 515
Yasutaka Mizoro Japan 9 306 0.5× 143 0.5× 47 0.2× 100 0.7× 102 0.8× 10 490
Nick R. J. Glossop United Kingdom 7 470 0.8× 214 0.7× 358 1.4× 122 0.9× 62 0.5× 7 572
Horst United States 4 1.0k 1.8× 275 0.9× 401 1.6× 115 0.9× 412 3.1× 8 1.2k

Countries citing papers authored by Adrián E. Granada

Since Specialization
Citations

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

Fields of papers citing papers by Adrián E. Granada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrián E. Granada. 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 Adrián E. Granada. The network helps show where Adrián E. Granada may publish in the future.

Co-authorship network of co-authors of Adrián E. Granada

This figure shows the co-authorship network connecting the top 25 collaborators of Adrián E. Granada. A scholar is included among the top collaborators of Adrián E. Granada 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 Adrián E. Granada. Adrián E. Granada 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.
Landtsheer, Sébastien De, Christoph Schmal, Ulrich Keilholz, et al.. (2025). Circadian clock features define novel subtypes among breast cancer cells and shape drug sensitivity. Molecular Systems Biology. 21(4). 315–340. 1 indexed citations
2.
Moser, M., Anna‐Marie Finger, Mogens H. Jensen, et al.. (2025). Circadian coupling orchestrates cell growth. Nature Physics. 21(5). 768–777. 1 indexed citations
3.
4.
Pelzer, Uwe, F Schneider, Anna Luisa Kühn, et al.. (2025). Multi-drug pharmacotyping improves therapy prediction in pancreatic cancer organoids. Cancer Cell International. 25(1). 321–321.
5.
Schmal, Christoph, Sébastien De Landtsheer, Anna‐Marie Finger, et al.. (2024). Time-of-day effects of cancer drugs revealed by high-throughput deep phenotyping. Nature Communications. 15(1). 7205–7205. 10 indexed citations
6.
Zehtabian, Amin, et al.. (2024). Circadian period is compensated for repressor protein turnover rates in single cells. Proceedings of the National Academy of Sciences. 121(34). e2404738121–e2404738121. 4 indexed citations
7.
Keilholz, Ulrich, et al.. (2023). p53 and p21 dynamics encode single-cell DNA damage levels, fine-tuning proliferation and shaping population heterogeneity. Communications Biology. 6(1). 1196–1196. 6 indexed citations
8.
Schmal, Christoph, Gregor Mönke, & Adrián E. Granada. (2022). Analysis of Complex Circadian Time Series Data Using Wavelets. Methods in molecular biology. 2482. 35–54. 7 indexed citations
9.
Zehtabian, Amin, Marten Jäger, Silke Reischl, et al.. (2021). Live-cell imaging of circadian clock protein dynamics in CRISPR-generated knock-in cells. Nature Communications. 12(1). 3796–3796. 42 indexed citations
10.
Finger, Anna‐Marie, et al.. (2021). Intercellular coupling between peripheral circadian oscillators by TGF-β signaling. Science Advances. 7(30). 44 indexed citations
11.
Granada, Adrián E., Jacob Stewart-Ornstein, Nils Blüthgen, et al.. (2020). The effects of proliferation status and cell cycle phase on the responses of single cells to chemotherapy. Molecular Biology of the Cell. 31(8). 845–857. 31 indexed citations
12.
Bordyugov, Grigory, Ute Abraham, Adrián E. Granada, et al.. (2015). Tuning the phase of circadian entrainment. Journal of The Royal Society Interface. 12(108). 20150282–20150282. 70 indexed citations
13.
Granada, Adrián E., Grigory Bordyugov, Achim Kramer, & Hanspeter Herzel. (2013). Human Chronotypes from a Theoretical Perspective. PLoS ONE. 8(3). e59464–e59464. 75 indexed citations
14.
Erzberger, Anna, et al.. (2013). Genetic redundancy strengthens the circadian clock leading to a narrow entrainment range. Journal of The Royal Society Interface. 10(84). 20130221–20130221. 39 indexed citations
15.
Bordyugov, Grigory, Adrián E. Granada, & Hanspeter Herzel. (2011). How coupling determines the entrainment of circadian clocks. The European Physical Journal B. 82(3-4). 227–234. 27 indexed citations
16.
Granada, Adrián E., Trinitat Cambras, Antoni Díez‐Noguera, & Hanspeter Herzel. (2010). Circadian desynchronization. Interface Focus. 1(1). 153–166. 30 indexed citations
17.
Abraham, Ute, et al.. (2010). Coupling governs entrainment range of circadian clocks. Molecular Systems Biology. 6(1). 438–438. 271 indexed citations
18.
Granada, Adrián E. & Hanspeter Herzel. (2009). How to Achieve Fast Entrainment? The Timescale to Synchronization. PLoS ONE. 4(9). e7057–e7057. 50 indexed citations
19.
Granada, Adrián E., R. Matthias Hennig, Bernhard Ronacher, Achim Kramer, & Hanspeter Herzel. (2009). Chapter 1 Phase Response Curves. Methods in enzymology on CD-ROM/Methods in enzymology. 454. 1–27. 38 indexed citations
20.
Granada, Adrián E., et al.. (2006). The generation of respiratory rhythms in birds. Physica A Statistical Mechanics and its Applications. 371(1). 84–87.

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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