Jorge Ramı́rez

3.5k total citations
103 papers, 2.7k citations indexed

About

Jorge Ramı́rez is a scholar working on Molecular Biology, Materials Chemistry and Fluid Flow and Transfer Processes. According to data from OpenAlex, Jorge Ramı́rez has authored 103 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 18 papers in Materials Chemistry and 17 papers in Fluid Flow and Transfer Processes. Recurrent topics in Jorge Ramı́rez's work include Rheology and Fluid Dynamics Studies (16 papers), Fungal and yeast genetics research (14 papers) and Material Dynamics and Properties (12 papers). Jorge Ramı́rez is often cited by papers focused on Rheology and Fluid Dynamics Studies (16 papers), Fungal and yeast genetics research (14 papers) and Material Dynamics and Properties (12 papers). Jorge Ramı́rez collaborates with scholars based in Mexico, Spain and United Kingdom. Jorge Ramı́rez's co-authors include Antonio Peña, Alexei E. Likhtman, Sathish K. Sukumaran, Andrés R. Tejedor, Jorge R. Espinosa, Bart Vorselaars, Martin Kröger, Hans Christian Öttinger, Roberto Coria and D. Vlassopoulos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jorge Ramı́rez

100 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Ramı́rez Mexico 29 939 657 618 599 405 103 2.7k
Arnljot Elgsaeter Norway 29 1.1k 1.2× 159 0.2× 391 0.6× 59 0.1× 469 1.2× 100 3.0k
Hiroshi Morita Japan 23 285 0.3× 100 0.2× 676 1.1× 340 0.6× 136 0.3× 161 1.8k
D. Balasubramanian India 35 1.3k 1.4× 121 0.2× 564 0.9× 111 0.2× 200 0.5× 136 3.6k
Luz María Martínez Mexico 24 500 0.5× 91 0.1× 755 1.2× 67 0.1× 237 0.6× 67 1.8k
V. Shankar India 28 510 0.5× 808 1.2× 208 0.3× 61 0.1× 73 0.2× 125 2.2k
Yves Maréchal France 32 252 0.3× 126 0.2× 733 1.2× 224 0.4× 226 0.6× 143 4.2k
Siva A. Vanapalli United States 34 338 0.4× 306 0.5× 344 0.6× 52 0.1× 41 0.1× 105 2.8k
Haiyan Liu China 40 3.3k 3.5× 89 0.1× 1.0k 1.6× 67 0.1× 611 1.5× 252 5.9k
G. Holzwarth United States 26 1.5k 1.6× 145 0.2× 286 0.5× 32 0.1× 414 1.0× 71 3.3k
Gang Ma China 30 872 0.9× 149 0.2× 417 0.7× 139 0.2× 52 0.1× 87 2.8k

Countries citing papers authored by Jorge Ramı́rez

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Ramı́rez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Ramı́rez

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Ramı́rez. A scholar is included among the top collaborators of Jorge Ramı́rez 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 Jorge Ramı́rez. Jorge Ramı́rez 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.
2.
Ramı́rez, Jorge, Graham M. Gibson, & Manlio Tassieri. (2024). Optical Halo: A Proof of Concept for a New Broadband Microrheology Tool. Micromachines. 15(7). 889–889. 1 indexed citations
3.
Tejedor, Andrés R., Ignacio Sanchez‐Burgos, Eduardo Sanz, et al.. (2024). Mold: a LAMMPS package to compute interfacial freeenergies and nucleation rates. The Journal of Open Source Software. 9(95). 6083–6083. 3 indexed citations
4.
Tejedor, Andrés R., Jorge Ramı́rez, & Marisol Ripoll. (2024). Progressive polymer deformation induced by polar activity and the influence of inertia. Physical Review Research. 6(3). 11 indexed citations
5.
Conde, M. M., et al.. (2024). Effect of substrate mismatch, orientation, and flexibility on heterogeneous ice nucleation. The Journal of Chemical Physics. 160(13). 4 indexed citations
6.
Smith, Matthew G., Jorge Ramı́rez, Andrew B. Matheson, et al.. (2023). Machine learning opens a doorway for microrheology with optical tweezers in living systems. AIP Advances. 13(7). 10 indexed citations
8.
Blazquez, S., Ignacio Sanchez‐Burgos, Jorge Ramı́rez, et al.. (2023). Location and Concentration of Aromatic‐Rich Segments Dictates the Percolating Inter‐Molecular Network and Viscoelastic Properties of Ageing Condensates. Advanced Science. 10(25). e2207742–e2207742. 24 indexed citations
9.
Chacón, Enrique, Francisco Alarcón, Jorge Ramı́rez, P. Tarazona, & Chantal Valeriani. (2022). Intrinsic structure perspective for MIPS interfaces in two-dimensional systems of active Brownian particles. Soft Matter. 18(13). 2646–2653. 8 indexed citations
10.
Tejedor, Andrés R., Ignacio Sanchez‐Burgos, Adiran Garaizar, et al.. (2022). Protein structural transitions critically transform the network connectivity and viscoelasticity of RNA-binding protein condensates but RNA can prevent it. Nature Communications. 13(1). 5717–5717. 47 indexed citations
11.
Alarcón, Francisco, et al.. (2019). Phase behaviour and dynamical features of a two-dimensional binary mixture of active/passive spherical particles. Soft Matter. 16(5). 1162–1169. 31 indexed citations
12.
Sánchez‐Nieto, Sobeida, et al.. (2011). Kinetics of the H+-ATPase from Dry and 5-Hours-Imbibed Maize Embryos in Its Native, Solubilized, and Reconstituted Forms. Molecular Plant. 4(3). 505–515. 10 indexed citations
13.
Rodríguez‐Sosa, Miriam, et al.. (2006). The yeast potassium transporter TRK2 is able to substitute for TRK1 in its biological function under low K and low pH conditions. Yeast. 23(8). 581–589. 17 indexed citations
14.
Vázquez‐Martínez, Olivia, et al.. (2006). Food restricted schedules promote differential lipoperoxidative activity in rat hepatic subcellular fractions. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 146(4). 632–643. 22 indexed citations
15.
Muñoz‐Clares, Rosario A., et al.. (2005). Fumonisin B1, a sphingoid toxin, is a potent inhibitor of the plasma membrane H+-ATPase. Planta. 221(4). 589–596. 31 indexed citations
17.
Ramı́rez, Jorge & Antonio Peña. (2000). Intercambiadores catión/protón en levaduras. 42(4). 181–187.
18.
Franco, Martha, et al.. (1998). Hypothyroidism renders liver mitochondria resistant to the opening of membrane permeability transition pore. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1407(3). 243–248. 28 indexed citations
19.
Peña, Antonio & Jorge Ramı́rez. (1991). An energy-dependent efflux system for potassium ions in yeast. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1068(2). 237–244. 24 indexed citations
20.
Ostoa‐Saloma, Pedro, Jorge Ramı́rez, & Ruy Pérez‐Montfort. (1989). Measurement of casein digestion by a fluorometric method. Analytical Biochemistry. 176(2). 239–243. 10 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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