Luis G. Morelli

2.5k total citations
46 papers, 1.8k citations indexed

About

Luis G. Morelli is a scholar working on Molecular Biology, Computer Networks and Communications and Cell Biology. According to data from OpenAlex, Luis G. Morelli has authored 46 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 14 papers in Computer Networks and Communications and 12 papers in Cell Biology. Recurrent topics in Luis G. Morelli's work include Developmental Biology and Gene Regulation (14 papers), Nonlinear Dynamics and Pattern Formation (13 papers) and Gene Regulatory Network Analysis (10 papers). Luis G. Morelli is often cited by papers focused on Developmental Biology and Gene Regulation (14 papers), Nonlinear Dynamics and Pattern Formation (13 papers) and Gene Regulatory Network Analysis (10 papers). Luis G. Morelli collaborates with scholars based in Germany, Argentina and Japan. Luis G. Morelli's co-authors include Andrew C. Oates, Saúl Ares, Frank Jülicher, Koichiro Uriu, Fernando Peruani, Christian Schröter, Damián H. Zanette, David J. Jörg, Leah Herrgen and Daniele Soroldoni and has published in prestigious journals such as Science, Cell and Physical Review Letters.

In The Last Decade

Luis G. Morelli

46 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis G. Morelli Germany 24 1.2k 389 381 220 216 46 1.8k
Saúl Ares Spain 17 910 0.8× 238 0.6× 173 0.5× 174 0.8× 83 0.4× 34 1.3k
Satoshi Sawai Japan 20 556 0.5× 501 1.3× 175 0.5× 80 0.4× 85 0.4× 63 1.5k
Javier Buceta Spain 23 525 0.4× 212 0.5× 278 0.7× 47 0.2× 360 1.7× 65 1.3k
Lutz Brusch Germany 22 669 0.6× 323 0.8× 242 0.6× 42 0.2× 185 0.9× 57 1.6k
Nick Monk United Kingdom 24 1.7k 1.4× 375 1.0× 348 0.9× 495 2.3× 186 0.9× 60 2.4k
Anna Marciniak‐Czochra Germany 29 870 0.7× 340 0.9× 269 0.7× 74 0.3× 77 0.4× 105 2.4k
Tony Tsai United States 13 854 0.7× 298 0.8× 99 0.3× 256 1.2× 104 0.5× 17 1.4k
Jean‐Louis Martiel France 20 706 0.6× 1.2k 3.1× 113 0.3× 182 0.8× 73 0.3× 42 1.9k
Markus R. Owen United Kingdom 32 1.1k 0.9× 439 1.1× 354 0.9× 640 2.9× 299 1.4× 80 3.2k
Benjamin M. Friedrich Germany 26 676 0.6× 245 0.6× 166 0.4× 155 0.7× 222 1.0× 62 2.2k

Countries citing papers authored by Luis G. Morelli

Since Specialization
Citations

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

Fields of papers citing papers by Luis G. Morelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis G. Morelli. 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 Luis G. Morelli. The network helps show where Luis G. Morelli may publish in the future.

Co-authorship network of co-authors of Luis G. Morelli

This figure shows the co-authorship network connecting the top 25 collaborators of Luis G. Morelli. A scholar is included among the top collaborators of Luis G. Morelli 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 Luis G. Morelli. Luis G. Morelli 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.
Marín‐Burgin, Antonia, et al.. (2023). Adult-born granule cells improve stimulus encoding and discrimination in the dentate gyrus. eLife. 12. 1 indexed citations
2.
Uriu, Koichiro & Luis G. Morelli. (2023). Orchestration of tissue shape changes and gene expression patterns in development. Seminars in Cell and Developmental Biology. 147. 24–33. 3 indexed citations
3.
Morelli, Luis G., et al.. (2022). Intermittent ERK oscillations downstream of FGF in mouse embryonic stem cells. Development. 149(4). 23 indexed citations
4.
Gonzalez‐Urquijo, Mauricio, Ángeles Domínguez, David E. Hinojosa-González, et al.. (2021). Thirty-three vascular residency programs among 13 countries joining forces to improve surgical education in times of COVID-19: A survey-based assessment. Vascular. 30(1). 146–150. 6 indexed citations
5.
Grecco, Hernán E., et al.. (2021). Effective description of bistability and irreversibility in apoptosis. Conicet. 6 indexed citations
6.
Uriu, Koichiro, Bo‐Kai Liao, Andrew C. Oates, & Luis G. Morelli. (2021). From local resynchronization to global pattern recovery in the zebrafish segmentation clock. eLife. 10. 16 indexed citations
7.
Huitema, Leonie F. A., Alexander Apschner, Josi Peterson-Maduro, et al.. (2018). Segmentation of the zebrafish axial skeleton relies on notochord sheath cells and not on the segmentation clock. eLife. 7. 63 indexed citations
8.
Morelli, Luis G., et al.. (2018). Information flow in the presence of cell mixing and signaling delays during embryonic development. Seminars in Cell and Developmental Biology. 93. 26–35. 23 indexed citations
9.
Uriu, Koichiro, et al.. (2017). Mobility-induced persistent chimera states. Physical review. E. 96(6). 62210–62210. 8 indexed citations
10.
Uriu, Koichiro, Luis G. Morelli, & Andrew C. Oates. (2014). Interplay between intercellular signaling and cell movement in development. Seminars in Cell and Developmental Biology. 35. 66–72. 27 indexed citations
11.
Uriu, Koichiro & Luis G. Morelli. (2014). Collective Cell Movement Promotes Synchronization of Coupled Genetic Oscillators. Biophysical Journal. 107(2). 514–526. 39 indexed citations
12.
Jörg, David J., Luis G. Morelli, Saúl Ares, & Frank Jülicher. (2014). Synchronization Dynamics in the Presence of Coupling Delays and Phase Shifts. Physical Review Letters. 112(17). 174101–174101. 29 indexed citations
13.
Graziani, Lanfroi, et al.. (2012). Clinical Outcome After Extended Endovascular Recanalization in Buerger’s Disease in 20 Consecutive Cases. Annals of Vascular Surgery. 26(3). 387–395. 45 indexed citations
14.
Schröter, Christian, Saúl Ares, Luis G. Morelli, et al.. (2012). Topology and Dynamics of the Zebrafish Segmentation Clock Core Circuit. PLoS Biology. 10(7). e1001364–e1001364. 100 indexed citations
15.
Roellig, Daniela, Luis G. Morelli, Saúl Ares, Frank Jülicher, & Andrew C. Oates. (2011). Enhanced SnapShot: The Segmentation Clock. Cell. 145(5). 800–800.e1. 6 indexed citations
16.
Graziani, Lanfroi & Luis G. Morelli. (2010). Combined Retrograde–Antegrade Arterial Recanalization Through Collateral Vessels: Redefinition of the Technique for Below-the-Knee Arteries. CardioVascular and Interventional Radiology. 34(S2). 78–82. 10 indexed citations
17.
Morelli, Luis G. & Frank Jülicher. (2007). Precision of Genetic Oscillators and Clocks. Physical Review Letters. 98(22). 228101–228101. 47 indexed citations
18.
Morelli, Luis G. & Hilda A. Cerdeira. (2004). Aggregation process on complex networks. Physical Review E. 69(5). 51107–51107. 3 indexed citations
19.
Morelli, Luis G.. (2003). Simple model for directed networks. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(6). 66107–66107. 6 indexed citations
20.
Morelli, Luis G. & Damián H. Zanette. (2001). Synchronization of Kauffman networks. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 63(3). 36204–36204. 54 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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