M. Ripoll

863 total citations
9 papers, 245 citations indexed

About

M. Ripoll is a scholar working on Physiology, Materials Chemistry and Rheumatology. According to data from OpenAlex, M. Ripoll has authored 9 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Materials Chemistry and 2 papers in Rheumatology. Recurrent topics in M. Ripoll's work include Salivary Gland Disorders and Functions (4 papers), Material Dynamics and Properties (3 papers) and Phase Equilibria and Thermodynamics (2 papers). M. Ripoll is often cited by papers focused on Salivary Gland Disorders and Functions (4 papers), Material Dynamics and Properties (3 papers) and Phase Equilibria and Thermodynamics (2 papers). M. Ripoll collaborates with scholars based in Spain, Belgium and Germany. M. Ripoll's co-authors include Carlos F. Tejero, F.-J. Rascόn, H. Gheitasi, Manuel Ramos‐Casals, B. Díaz-López, Roser Solans, Blanca Pinilla, Soledad Retamozo, Belchin Kostov and A. Casanovas and has published in prestigious journals such as Annals of the Rheumatic Diseases, Molecular Physics and Physica A Statistical Mechanics and its Applications.

In The Last Decade

M. Ripoll

9 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Ripoll Spain 6 145 69 50 39 37 9 245
Yuto Hamada Japan 12 128 0.9× 59 0.9× 40 0.8× 4 0.1× 29 0.8× 51 413
Yangyi Huang China 10 41 0.3× 91 1.3× 68 1.4× 38 1.0× 14 0.4× 21 315
M. Zheng China 6 206 1.4× 32 0.5× 11 0.2× 24 0.6× 29 0.8× 9 394
M. KOGA Japan 8 16 0.1× 111 1.6× 13 0.3× 3 0.1× 17 0.5× 23 322
Kosuke Okamoto Japan 12 62 0.4× 48 0.7× 17 0.3× 12 0.3× 15 0.4× 40 327
Elisabeth Rehberg Germany 8 53 0.4× 126 1.8× 13 0.3× 4 0.1× 9 0.2× 11 303
Brian Poirier United States 9 9 0.1× 39 0.6× 34 0.7× 14 0.4× 3 0.1× 11 392
Xiaozhen Zhao China 9 29 0.2× 18 0.3× 50 1.0× 59 1.5× 29 0.8× 23 224
S Matsumoto Japan 10 19 0.1× 179 2.6× 58 1.2× 6 0.2× 16 0.4× 43 403
Edelman Rr United States 9 13 0.1× 113 1.6× 11 0.2× 40 1.0× 36 1.0× 20 468

Countries citing papers authored by M. Ripoll

Since Specialization
Citations

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

Fields of papers citing papers by M. Ripoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Ripoll

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ripoll. A scholar is included among the top collaborators of M. Ripoll 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 M. Ripoll. M. Ripoll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Fernández‐Ruiz, Mario, Francisco López‐Medrano, María Asunción Pérez‐Jacoiste Asín, et al.. (2020). Tocilizumab for the treatment of adult patients with severe COVID‐19 pneumonia: A single‐center cohort study. Journal of Medical Virology. 93(2). 831–842. 33 indexed citations
2.
Mostardt, Sarah, et al.. (2020). Determination of the target population in early benefit assessments in Germany: challenges for non-small-cell lung cancer. The European Journal of Health Economics. 21(6). 881–893. 1 indexed citations
3.
Gheitasi, H., Belchin Kostov, Roser Solans, et al.. (2015). How are we treating our systemic patients with primary Sjögren syndrome? Analysis of 1120 patients. International Immunopharmacology. 27(2). 194–199. 20 indexed citations
4.
Brito‐Zerón, Pilar, Belchin Kostov, Roser Solans, et al.. (2014). Systemic activity and mortality in primary Sjögren syndrome: predicting survival using the EULAR-SS Disease Activity Index (ESSDAI) in 1045 patients. Annals of the Rheumatic Diseases. 75(2). 348–355. 139 indexed citations
5.
Retamozo, Soledad, Roser Solans, G. Fraile, et al.. (2014). OP0213 The Degree of Activity Measured with the EULAR-SS Disease Activity Index (ESSDAI) Strongly Correlated with Death in Patients with Primary Sjogren Syndrome (GEAS-SS REGISTRY). Annals of the Rheumatic Diseases. 73. 143–143. 1 indexed citations
6.
Kostov, Belchin, Roser Solans, Gonzalo De Luna, et al.. (2014). OP0211 Association between Systemic Activity and Lymphoma in Primary Sjogren Syndrome: Baseline Essdai Predictors in 921 Spanish Patients (GEAS-SS Registry). Annals of the Rheumatic Diseases. 73. 142–142. 3 indexed citations
7.
Ripoll, M., Carlos F. Tejero, & Marc Baus. (1996). A theoretical estimate of the Wilson-Frenkel kinetics of colloidal crystal growth in charge-stabilized dispersions. Physica A Statistical Mechanics and its Applications. 234(1-2). 311–321. 13 indexed citations
8.
Tejero, Carlos F., M. Ripoll, & Alberto T. Pérez. (1995). Pressure of the hard-sphere solid. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 52(4). 3632–3636. 18 indexed citations
9.
Ripoll, M. & Carlos F. Tejero. (1995). Approximate analytical expression for the direct correlation function of hard discs within the Percus-Yevick equation. Molecular Physics. 85(2). 423–428. 17 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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