Claudio Sánchez

3.1k total citations
34 papers, 373 citations indexed

About

Claudio Sánchez is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Claudio Sánchez has authored 34 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atmospheric Science, 23 papers in Global and Planetary Change and 7 papers in Oceanography. Recurrent topics in Claudio Sánchez's work include Climate variability and models (22 papers), Meteorological Phenomena and Simulations (19 papers) and Tropical and Extratropical Cyclones Research (14 papers). Claudio Sánchez is often cited by papers focused on Climate variability and models (22 papers), Meteorological Phenomena and Simulations (19 papers) and Tropical and Extratropical Cyclones Research (14 papers). Claudio Sánchez collaborates with scholars based in United Kingdom, Singapore and Italy. Claudio Sánchez's co-authors include K. D. Williams, Matthew Collins, Xiang‐Yu Huang, Anurag Dipankar, John Methven, Matthias Roth, Ben Harvey, Quang‐Van Doan, Suzanne L. Gray and Andreas Schäfler and has published in prestigious journals such as Geophysical Research Letters, American Journal of Physiology-Cell Physiology and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Claudio Sánchez

29 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Sánchez United Kingdom 12 289 286 74 50 16 34 373
Feifei Shen China 16 661 2.3× 518 1.8× 41 0.6× 78 1.6× 13 0.8× 58 699
Laura Baker United Kingdom 13 453 1.6× 446 1.6× 55 0.7× 89 1.8× 26 1.6× 28 549
Lin Ouyang China 9 299 1.0× 278 1.0× 29 0.4× 15 0.3× 6 0.4× 14 379
Г. С. Ривин Russia 10 201 0.7× 189 0.7× 73 1.0× 23 0.5× 1 0.1× 33 262
Chuhan Lu China 13 373 1.3× 330 1.2× 61 0.8× 72 1.4× 6 0.4× 47 462
Junhu Zhao China 12 312 1.1× 358 1.3× 56 0.8× 73 1.5× 3 0.2× 47 402
Hua Song United States 11 234 0.8× 258 0.9× 33 0.4× 63 1.3× 2 0.1× 16 308
Thomas Klein Germany 9 327 1.1× 252 0.9× 34 0.5× 38 0.8× 2 0.1× 17 397
Yingtao Ma United States 7 134 0.5× 153 0.5× 35 0.5× 34 0.7× 13 198
Weiqing Qi China 10 178 0.6× 143 0.5× 39 0.5× 21 0.4× 10 0.6× 15 308

Countries citing papers authored by Claudio Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Sánchez. A scholar is included among the top collaborators of Claudio Sánchez 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 Claudio Sánchez. Claudio Sánchez 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.
Prasanna, Venkatraman, Anurag Dipankar, Jianyu Liu, et al.. (2025). Evaluating SINGV ‐ RCM for Long‐Term High‐Resolution Climate Simulations Over Southeast Asia. International Journal of Climatology. 45(11).
2.
Sánchez, Claudio, Suzanne L. Gray, Ambrogio Volonté, et al.. (2024). The impact of preceding convection on the development of Medicane Ianos and the sensitivity to sea surface temperature. Weather and Climate Dynamics. 5(4). 1429–1455. 5 indexed citations
3.
Pantillon, Florian, Silvio Davolio, Elenio Avolio, et al.. (2024). The crucial representation of deep convection for the cyclogenesis of Medicane Ianos. Weather and Climate Dynamics. 5(3). 1187–1205. 9 indexed citations
4.
Prasanna, Venkatraman, Anurag Dipankar, Jianyu Liu, et al.. (2024). SINGV-RCM: the convection-permitting regional climate model for Singapore. Climate Dynamics. 62(6). 5129–5141. 2 indexed citations
5.
Howard, Emma, Steven J. Woolnough, Nicholas P. Klingaman, et al.. (2024). Evaluation of multi-season convection-permitting atmosphere – mixed-layer ocean simulations of the Maritime Continent. Geoscientific model development. 17(9). 3815–3837. 2 indexed citations
6.
Maybee, Ben, John H. Marsham, Cornelia Klein, et al.. (2024). Wind Shear Effects in Convection–Permitting Models Influence MCS Rainfall and Forcing of Tropical Circulation. Geophysical Research Letters. 51(17). 7 indexed citations
7.
Tomassini, Lorenzo, Martin Willett, Alistair Sellar, et al.. (2023). Confronting the Convective Gray Zone in the Global Configuration of the Met Office Unified Model. Journal of Advances in Modeling Earth Systems. 15(5). 12 indexed citations
8.
Gordon, Hamish, K. S. Carslaw, Adrian Hill, et al.. (2023). NUMAC: Description of the Nested Unified Model With Aerosols and Chemistry, and Evaluation With KORUS‐AQ Data. Journal of Advances in Modeling Earth Systems. 15(11). 3 indexed citations
9.
Sánchez, Claudio, et al.. (2023). Impact of Domain Size on Tropical Precipitation Within Explicit Convection Simulations. Geophysical Research Letters. 50(17). 7 indexed citations
10.
Ferrarin, Christian, Florian Pantillon, Silvio Davolio, et al.. (2023). Assessing the coastal hazard of Medicane Ianos through ensemble modelling. Natural hazards and earth system sciences. 23(6). 2273–2287. 17 indexed citations
11.
Thompson, Bijoy, Claudio Sánchez, B. C. P. Heng, et al.. (2021). Development of a MetUM (v 11.1) and NEMO (v 3.6) coupled operational forecast model for the Maritime Continent – Part 1: Evaluation of ocean forecasts. Geoscientific model development. 14(2). 1081–1100. 5 indexed citations
12.
Sánchez, Claudio, John Methven, Suzanne L. Gray, & Mike Cullen. (2020). Linking rapid forecast error growth to diabatic processes. Quarterly Journal of the Royal Meteorological Society. 146(732). 3548–3569. 21 indexed citations
13.
Dipankar, Anurag, Stuart Webster, Claudio Sánchez, et al.. (2020). SINGV: A convective‐scale weather forecast model for Singapore. Quarterly Journal of the Royal Meteorological Society. 146(733). 4131–4146. 26 indexed citations
14.
Doan, Quang‐Van, Anurag Dipankar, Claudio Sánchez, et al.. (2020). Urban‐induced modifications to the diurnal cycle of rainfall over a tropical city. Quarterly Journal of the Royal Meteorological Society. 147(735). 1189–1201. 37 indexed citations
15.
Dipankar, Anurag, et al.. (2019). Impact of realistic anthropogenic heat flux on temperature across Singapore. A problem between heat release capacity and emission.. UCrea (University of Cantabria). 9460. 1 indexed citations
16.
Sánchez, Claudio, et al.. (2017). O SURGIMENTO DE UM ASSASSINO SEQUENCIAL. 13(13).
17.
Sánchez, Claudio, et al.. (2010). PSICOPATOLOGIA FORENSE LIGADA A INIMPUTABILIDADE DO RÉU À LUZ DO DIREITO PENAL. 6(6).
18.
Sánchez, Claudio, et al.. (2010). A EVOLUÇÃO HISTÓRICA DO DIREITO PENAL POSITIVADO NO BRASIL. 5(5). 1 indexed citations
19.
Ojeda, Paola, Ximena Valenzuela, Claudio Sánchez, et al.. (2009). Endofacial competitive inhibition of the glucose transporter 1 activity by gossypol. American Journal of Physiology-Cell Physiology. 297(1). C86–C93. 23 indexed citations
20.
Sánchez, Claudio, et al.. (2009). O DIREITO PENAL DO INIMIGO. 4(4).

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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