Jonathan D. Proto

2.0k total citations · 1 hit paper
19 papers, 1.3k citations indexed

About

Jonathan D. Proto is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Jonathan D. Proto has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 6 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Jonathan D. Proto's work include Mesenchymal stem cell research (7 papers), Muscle Physiology and Disorders (6 papers) and Immune cells in cancer (4 papers). Jonathan D. Proto is often cited by papers focused on Mesenchymal stem cell research (7 papers), Muscle Physiology and Disorders (6 papers) and Immune cells in cancer (4 papers). Jonathan D. Proto collaborates with scholars based in United States, Germany and Türkiye. Jonathan D. Proto's co-authors include Ira Tabas, George Kuriakose, Erdi Sözen, Manikandan Subramanian, Christina C. Rymond, Amanda C. Doran, E. Sander Connolly, Jason Hellmann, Bernhard Dorweiler and Gabrielle Fredman and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Immunity.

In The Last Decade

Jonathan D. Proto

18 papers receiving 1.3k citations

Hit Papers

An imbalance between specialized pro-resolving lipid medi... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan D. Proto United States 12 494 483 264 183 157 19 1.3k
Roland Axmann Germany 17 528 1.1× 828 1.7× 201 0.8× 164 0.9× 144 0.9× 25 2.5k
Marine Théret Canada 17 310 0.6× 1.1k 2.2× 275 1.0× 294 1.6× 52 0.3× 33 1.7k
Wende R. Reenstra United States 19 640 1.3× 270 0.6× 178 0.7× 97 0.5× 48 0.3× 34 1.5k
Fang Xiao China 19 214 0.4× 677 1.4× 181 0.7× 75 0.4× 56 0.4× 31 1.2k
Janka Kisucka United States 11 244 0.5× 281 0.6× 130 0.5× 66 0.4× 46 0.3× 13 1.1k
Yves Rival France 12 249 0.5× 521 1.1× 80 0.3× 70 0.4× 43 0.3× 15 1.1k
Dorothea Siegel‐Axel Germany 19 296 0.6× 372 0.8× 452 1.7× 87 0.5× 41 0.3× 36 1.7k
Lieve Temmerman Netherlands 11 378 0.8× 402 0.8× 122 0.5× 74 0.4× 32 0.2× 22 945
Kanako Hosono Japan 24 242 0.5× 462 1.0× 255 1.0× 108 0.6× 28 0.2× 63 1.6k
Tobias V. Lanz United States 17 397 0.8× 333 0.7× 118 0.4× 304 1.7× 44 0.3× 28 1.2k

Countries citing papers authored by Jonathan D. Proto

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D. Proto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan D. Proto. 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 Jonathan D. Proto. The network helps show where Jonathan D. Proto may publish in the future.

Co-authorship network of co-authors of Jonathan D. Proto

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

All Works

19 of 19 papers shown
1.
Nonneman, Annelies, Alessandro Cinti, Loredana Redaelli, et al.. (2022). Novel potent liposome agonists of triggering receptor expressed on myeloid cells 2 phenocopy antibody treatment in cells. Glia. 70(12). 2290–2308. 11 indexed citations
2.
Gruber, Ross C., Michael R. Dufault, Nathalie Chrétien, et al.. (2021). Establishing a Role for the Bruton’s Tyrosine Kinase Inhibitor Tolebrutinib in Modulating Neuroinflammation and Disease Progression in MS (1974). Neurology. 96(15_supplement). 1 indexed citations
3.
Hagan, Nellwyn, John L. Kane, Deepak Grover, et al.. (2020). CSF1R signaling is a regulator of pathogenesis in progressive MS. Cell Death and Disease. 11(10). 904–904. 95 indexed citations
4.
Gruber, Ross C., Nathalie Chrétien, Michael R. Dufault, et al.. (2020). Central Effects of BTK Inhibition in Neuroinflammation (808). Neurology. 94(15_supplement). 10 indexed citations
5.
Sözen, Erdi, Burak Yazgan, Olgu Enis Tok, et al.. (2020). Cholesterol induced autophagy via IRE1/JNK pathway promotes autophagic cell death in heart tissue. Metabolism. 106. 154205–154205. 33 indexed citations
6.
Proto, Jonathan D., Amanda C. Doran, Galina A. Gusarova, et al.. (2018). Regulatory T Cells Promote Macrophage Efferocytosis during Inflammation Resolution. Immunity. 49(4). 666–677.e6. 321 indexed citations
7.
Proto, Jonathan D., Amanda C. Doran, Manikandan Subramanian, et al.. (2018). Hypercholesterolemia induces T cell expansion in humanized immune mice. Journal of Clinical Investigation. 128(6). 2370–2375. 47 indexed citations
8.
Proto, Jonathan D., Aiping Lu, Akaitz Dorronsoro, et al.. (2017). Inhibition of NF-κB improves the stress resistance and myogenic differentiation of MDSPCs isolated from naturally aged mice. PLoS ONE. 12(6). e0179270–e0179270. 8 indexed citations
9.
Subramanian, Manikandan, Jonathan D. Proto, Glenn K. Matsushima, & Ira Tabas. (2016). Deficiency of AXL in Bone Marrow-Derived Cells Does Not Affect Advanced Atherosclerotic Lesion Progression. Scientific Reports. 6(1). 39111–39111. 10 indexed citations
10.
Fredman, Gabrielle, Jason Hellmann, Jonathan D. Proto, et al.. (2016). An imbalance between specialized pro-resolving lipid mediators and pro-inflammatory leukotrienes promotes instability of atherosclerotic plaques. Nature Communications. 7(1). 12859–12859. 326 indexed citations breakdown →
11.
Proto, Jonathan D., Ying Tang, Aiping Lu, et al.. (2015). NF-κB inhibition reveals a novel role for HGF during skeletal muscle repair. Cell Death and Disease. 6(4). e1730–e1730. 34 indexed citations
12.
Lu, Aiping, Minakshi Poddar, Ying Tang, et al.. (2014). Rapid depletion of muscle progenitor cells in dystrophic mdx/utrophin−/− mice. Human Molecular Genetics. 23(18). 4786–4800. 45 indexed citations
13.
Gao, Xueqin, Arvydas Ūsas, Jonathan D. Proto, et al.. (2014). Role of donor and host cells in muscle‐derived stem cell‐mediated bone repair: differentiation vs. paracrine effects. The FASEB Journal. 28(8). 3792–3809. 49 indexed citations
14.
Proto, Jonathan D., et al.. (2014). Impossible Objects. Architectural Design. 84(1). 106–111. 1 indexed citations
15.
Beckman, Sarah, Chien‐Wen Chen, Ying Tang, et al.. (2013). Beneficial Effect of Mechanical Stimulation on the Regenerative Potential of Muscle-Derived Stem Cells Is Lost by Inhibiting Vascular Endothelial Growth Factor. Arteriosclerosis Thrombosis and Vascular Biology. 33(8). 2004–2012. 28 indexed citations
16.
Proto, Jonathan D., Aiping Lu, Bing Wang, & Johnny Huard. (2013). The Role of NF-κB in Muscular Dystrophy. 4(2). 149–160.
17.
Yang, Qichang, Ying Tang, Aiping Lu, et al.. (2012). AAV-based shRNA silencing of NF-κB ameliorates muscle pathologies in mdx mice. Gene Therapy. 19(12). 1196–1204. 32 indexed citations
18.
Chen, Chien‐Wen, Masaho Okada, Jonathan D. Proto, et al.. (2012). Human Pericytes for Ischemic Heart Repair. Stem Cells. 31(2). 305–316. 197 indexed citations
19.
Lu, Aiping, Jonathan D. Proto, Ying Tang, et al.. (2011). NF-κB Negatively Impacts the Myogenic Potential of Muscle-derived Stem Cells. Molecular Therapy. 20(3). 661–668. 51 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026