Jose Zavala‐Solorio

1.7k total citations
18 papers, 1.0k citations indexed

About

Jose Zavala‐Solorio is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Jose Zavala‐Solorio has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Physiology. Recurrent topics in Jose Zavala‐Solorio's work include Fibroblast Growth Factor Research (4 papers), Adipose Tissue and Metabolism (3 papers) and Mesenchymal stem cell research (2 papers). Jose Zavala‐Solorio is often cited by papers focused on Fibroblast Growth Factor Research (4 papers), Adipose Tissue and Metabolism (3 papers) and Mesenchymal stem cell research (2 papers). Jose Zavala‐Solorio collaborates with scholars based in United States, France and Germany. Jose Zavala‐Solorio's co-authors include Ganesh Kolumam, Lance Kates, Xiaoting Wang, Wyne P. Lee, Wenjun Ouyang, Nicholas van Bruggen, Céline Eidenschenk, Lauri Diehl, J K Ross and Justin Lesch and has published in prestigious journals such as Nature, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Jose Zavala‐Solorio

17 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jose Zavala‐Solorio United States 13 465 279 225 185 172 18 1.0k
J.S. Owen United States 13 397 0.9× 333 1.2× 338 1.5× 122 0.7× 168 1.0× 17 1.1k
Kuanfeng Xu China 20 347 0.7× 232 0.8× 251 1.1× 138 0.7× 138 0.8× 54 1.0k
Qilin Yu China 22 486 1.0× 187 0.7× 274 1.2× 168 0.9× 185 1.1× 45 1.3k
Tomomi Toyonaga Japan 17 521 1.1× 300 1.1× 189 0.8× 152 0.8× 225 1.3× 24 1.1k
Jason S. Seidman United States 11 246 0.5× 177 0.6× 170 0.8× 88 0.5× 166 1.0× 17 680
Fernando Alvarez Canada 17 352 0.8× 210 0.8× 332 1.5× 140 0.8× 201 1.2× 31 1.1k
Brady Barron United States 11 412 0.9× 167 0.6× 265 1.2× 107 0.6× 93 0.5× 14 959
Giovanni Pecorini Italy 15 396 0.9× 135 0.5× 156 0.7× 85 0.5× 161 0.9× 22 885
Catalina Núñez‐Roa Spain 13 345 0.7× 115 0.4× 162 0.7× 242 1.3× 190 1.1× 19 783
Mehdi Daoudi France 14 309 0.7× 304 1.1× 198 0.9× 279 1.5× 231 1.3× 18 939

Countries citing papers authored by Jose Zavala‐Solorio

Since Specialization
Citations

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

Fields of papers citing papers by Jose Zavala‐Solorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jose Zavala‐Solorio. 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 Jose Zavala‐Solorio. The network helps show where Jose Zavala‐Solorio may publish in the future.

Co-authorship network of co-authors of Jose Zavala‐Solorio

This figure shows the co-authorship network connecting the top 25 collaborators of Jose Zavala‐Solorio. A scholar is included among the top collaborators of Jose Zavala‐Solorio 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 Jose Zavala‐Solorio. Jose Zavala‐Solorio 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.
Lin, Karin, Rejani B. Kunjamma, Holly M. Robb, et al.. (2025). Chronic integrated stress response causes dysregulated cholesterol synthesis in white matter disease. JCI Insight. 10(16).
2.
Maile, Tobias M, Jonathon J. O’Brien, Sean R. Hackett, et al.. (2024). Automated preparation of plasma lipids, metabolites, and proteins for LC/MS-based analysis of a high-fat diet in mice. Journal of Lipid Research. 65(9). 100607–100607. 1 indexed citations
3.
Asundi, Jyoti, Chunlian Zhang, Diana L. Donnelly‐Roberts, et al.. (2024). GDF15 is a dynamic biomarker of the integrated stress response in the central nervous system. CNS Neuroscience & Therapeutics. 30(2). e14600–e14600. 12 indexed citations
4.
Hu, Bo, Bryan Seybold, Shan Yang, et al.. (2023). 3D mouse pose from single-view video and a new dataset. Scientific Reports. 13(1). 13554–13554. 2 indexed citations
5.
Roux, Antoine E., Chunlian Zhang, Jonathan S. Paw, et al.. (2022). Diverse partial reprogramming strategies restore youthful gene expression and transiently suppress cell identity. Cell Systems. 13(7). 574–587.e11. 43 indexed citations
6.
López, Magdalena Preciado, Niclas Olsson, John Wang, et al.. (2022). Triple‐threat quantitative multiplexed plasma proteomics analysis on immune complex disease MRL‐lpr mice. PROTEOMICS. 22(19-20). e2100242–e2100242. 3 indexed citations
7.
Peclat, Thais, Katie L. Thompson, Gina M. Warner, et al.. (2022). CD38 inhibitor 78c increases mice lifespan and healthspan in a model of chronological aging. Aging Cell. 21(4). e13589–e13589. 36 indexed citations
8.
Mohrin, Mary, Justin Liu, Jose Zavala‐Solorio, et al.. (2021). Inhibition of longevity regulator PAPP‐A modulates tissue homeostasis via restraint of mesenchymal stromal cells. Aging Cell. 20(3). e13313–e13313. 7 indexed citations
9.
Kolumam, Ganesh, Xiumin Wu, Wyne P. Lee, et al.. (2017). IL-22R Ligands IL-20, IL-22, and IL-24 Promote Wound Healing in Diabetic db/db Mice. PLoS ONE. 12(1). e0170639–e0170639. 68 indexed citations
10.
Chen, Mark Z., Joshua C. Chang, Jose Zavala‐Solorio, et al.. (2017). FGF21 mimetic antibody stimulates UCP1-independent brown fat thermogenesis via FGFR1/βKlotho complex in non-adipocytes. Molecular Metabolism. 6(11). 1454–1467. 44 indexed citations
11.
Dunshee, Diana, Travis W. Bainbridge, Noelyn M. Kljavin, et al.. (2016). Fibroblast Activation Protein Cleaves and Inactivates Fibroblast Growth Factor 21. Journal of Biological Chemistry. 291(11). 5986–5996. 117 indexed citations
12.
Solloway, Mark J., Azadeh Madjidi, Chunyan Gu, et al.. (2015). Glucagon Couples Hepatic Amino Acid Catabolism to mTOR-Dependent Regulation of α-Cell Mass. Cell Reports. 12(3). 495–510. 144 indexed citations
13.
Wyatt, Shelby K., Kai Barck, Lance Kates, et al.. (2015). Fully-automated, high-throughput micro-computed tomography analysis of body composition enables therapeutic efficacy monitoring in preclinical models. International Journal of Obesity. 39(11). 1630–1637. 12 indexed citations
14.
Wang, Xiaoting, Naruhisa Ota, Paolo Manzanillo, et al.. (2014). Interleukin-22 alleviates metabolic disorders and restores mucosal immunity in diabetes. Nature. 514(7521). 237–241. 371 indexed citations
15.
Moriya, Junji, Xiumin Wu, Jose Zavala‐Solorio, et al.. (2013). Platelet-derived growth factor C promotes revascularization in ischemic limbs of diabetic mice. Journal of Vascular Surgery. 59(5). 1402–1409.e4. 32 indexed citations
16.
Feng, Bo, Mark Z. Chen, Ganesh Kolumam, et al.. (2013). Antibody-Mediated Activation of FGFR1 Induces FGF23 Production and Hypophosphatemia. PLoS ONE. 8(2). e57322–e57322. 51 indexed citations
17.
Lipari, Michael T., Wei Li, Paul Moran, et al.. (2012). Furin-cleaved Proprotein Convertase Subtilisin/Kexin Type 9 (PCSK9) Is Active and Modulates Low Density Lipoprotein Receptor and Serum Cholesterol Levels. Journal of Biological Chemistry. 287(52). 43482–43491. 75 indexed citations
18.
Daugherty, Ann L., et al.. (2011). Sustained release formulations of rhVEGF165 produce a durable response in a murine model of peripheral angiogenesis. European Journal of Pharmaceutics and Biopharmaceutics. 78(2). 289–297. 13 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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