José Sánchez

537 total citations
18 papers, 310 citations indexed

About

José Sánchez is a scholar working on Molecular Biology, Nephrology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, José Sánchez has authored 18 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Nephrology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in José Sánchez's work include Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers) and Platelet Disorders and Treatments (2 papers). José Sánchez is often cited by papers focused on Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers) and Platelet Disorders and Treatments (2 papers). José Sánchez collaborates with scholars based in Sweden, United Kingdom and United States. José Sánchez's co-authors include Louise Delsing, Gabriella Brolén, Ryan Hicks, Maryam Clausen, Jane Synnergren, Anna Herland, Henrik Zetterberg, Anna Falk, Pierre Dönnes and Dimitrios Voulgaris and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

José Sánchez

16 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Sánchez Sweden 10 148 81 47 41 37 18 310
Camila Araujo United States 11 211 1.4× 99 1.2× 10 0.2× 35 0.9× 45 1.2× 14 525
Yanying Xu China 7 177 1.2× 39 0.5× 19 0.4× 48 1.2× 15 0.4× 13 346
Ricardo Figueiredo Germany 7 100 0.7× 126 1.6× 28 0.6× 26 0.6× 21 0.6× 11 269
Francis Aguisanda United States 6 161 1.1× 29 0.4× 91 1.9× 67 1.6× 35 0.9× 8 402
Jennie Ong China 13 285 1.9× 34 0.4× 15 0.3× 30 0.7× 8 0.2× 17 462
Fuhua Peng China 10 265 1.8× 23 0.3× 22 0.5× 17 0.4× 64 1.7× 17 378
Alí Francisco Citalán‐Madrid Mexico 7 152 1.0× 101 1.2× 10 0.2× 49 1.2× 13 0.4× 11 378
Honglin Tian United States 10 172 1.2× 13 0.2× 55 1.2× 30 0.7× 70 1.9× 11 355
Toru Koda Japan 12 128 0.9× 65 0.8× 6 0.1× 40 1.0× 49 1.3× 31 355
Macarena Rodríguez‐Serrano Spain 9 245 1.7× 28 0.3× 5 0.1× 43 1.0× 38 1.0× 10 470

Countries citing papers authored by José Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by José Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Sánchez

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

All Works

18 of 18 papers shown
1.
Greasley, Peter J., Nikhil Agrawal, Magnus Althage, et al.. (2024). #1003 Safety, tolerability, pharmacokinetics, and pharmacodynamics of multiple ascending doses of AZD2373, an antisense oligonucleotide targeting APOL1. Nephrology Dialysis Transplantation. 39(Supplement_1). 1 indexed citations
2.
Shankar, Sudha S., Samuel J. Daniels, Darren Robertson, et al.. (2024). Safety and Efficacy of Novel Incretin Co-agonist Cotadutide in Biopsy-proven Noncirrhotic MASH With Fibrosis. Clinical Gastroenterology and Hepatology. 22(9). 1847–1857.e11. 21 indexed citations
3.
Robertson, Darren, Lars Hansen, Lutz Jermutus, et al.. (2023). #3000 EFFICACY AND SAFETY OF COTADUTIDE, A DUAL GLP1-GLUCAGON RECEPTOR AGONIST, IN PATIENTS WITH CHRONIC KIDNEY DISEASE AND T2DM. Nephrology Dialysis Transplantation. 38(Supplement_1). 1 indexed citations
4.
Squire, Iain, Anders Gabrielsen, Peter J. Greasley, et al.. (2022). Effect of AZD9977 and spironolactone on serum potassium in heart failure with preserved or mildly reduced ejection fraction, and renal impairment: A randomized trial. Clinical and Translational Science. 15(10). 2493–2504. 9 indexed citations
6.
Schatz, Philipp, et al.. (2021). Point-of-care microvolume cytometer measures platelet counts with high accuracy from capillary blood. PLoS ONE. 16(8). e0256423–e0256423. 4 indexed citations
7.
Granqvist, Anna, Anette Ericsson, José Sánchez, et al.. (2020). High-protein diet accelerates diabetes and kidney disease in the BTBRob/ob mouse. American Journal of Physiology-Renal Physiology. 318(3). F763–F771. 15 indexed citations
8.
Drowley, Lauren, Jane McPheat, Anneli Nordqvist, et al.. (2019). Discovery of retinoic acid receptor agonists as proliferators of cardiac progenitor cells through a phenotypic screening approach. Stem Cells Translational Medicine. 9(1). 47–60. 20 indexed citations
9.
Wang, Xiaoyun, Francesca Polverino, Joselyn Rojas, et al.. (2018). A Disintegrin and Metalloproteinase Domain-9: A Novel Proteinase Culprit with Multifarious Contributions to Chronic Obstructive Pulmonary Disease. American Journal of Respiratory and Critical Care Medicine. 198(12). 1500–1518. 28 indexed citations
10.
Lundin, Anders, Louise Delsing, Maryam Clausen, et al.. (2018). Human iPS-Derived Astroglia from a Stable Neural Precursor State Show Improved Functionality Compared with Conventional Astrocytic Models. Stem Cell Reports. 10(3). 1030–1045. 72 indexed citations
11.
Delsing, Louise, Pierre Dönnes, José Sánchez, et al.. (2018). Barrier Properties and Transcriptome Expression in Human iPSC-Derived Models of the Blood–Brain Barrier. Stem Cells. 36(12). 1816–1827. 79 indexed citations
12.
PEHRSSON, S. KENNETH, Annika Janefeldt, James R. Goodman, et al.. (2017). Hemostatic effects of the ticagrelor antidote MEDI2452 in pigs treated with ticagrelor on a background of aspirin. Journal of Thrombosis and Haemostasis. 15(6). 1213–1222. 19 indexed citations
13.
Bengtsson‐Palme, Johan, Fredrik Boulund, Amir Feizi, et al.. (2016). Strategies to improve usability and preserve accuracy in biological sequence databases. PROTEOMICS. 16(18). 2454–2460. 18 indexed citations
14.
Kling, Teresia, Patrik Johansson, José Sánchez, et al.. (2015). Efficient exploration of pan-cancer networks by generalized covariance selection and interactive web content. Nucleic Acids Research. 43(15). e98–e98. 18 indexed citations
15.
Kling, Teresia, Patrik Johansson, José Sánchez, et al.. (2015). Abstract B2-35: Efficient exploration of multi-cancer networks by generalized covariance selection and interactive web content. Cancer Research. 75(22_Supplement_2). B2–35. 2 indexed citations
16.
Jörnsten, Rebecka, et al.. (2011). System-Scale Network Modeling of Cancer Using EPoC. Advances in experimental medicine and biology. 736. 617–643. 1 indexed citations
17.
Ávila, María Mercedes, María A. Pando, Gladys Carrión, et al.. (2002). Two HIV-1 Epidemics in Argentina: Different Genetic Subtypes Associated With Different Risk Groups. JAIDS Journal of Acquired Immune Deficiency Syndromes. 29(4). 422–426. 2 indexed citations
18.
Ballesteros, Rocío Fernández, et al.. (1984). Influencia del mobiliario en la conducta interpersonal de ancianos institucionalizados. Dialnet (Universidad de la Rioja). 105–122.

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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