Jonathan J. Rios

2.9k total citations · 2 hit papers
42 papers, 1.5k citations indexed

About

Jonathan J. Rios is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Jonathan J. Rios has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Genetics and 9 papers in Neurology. Recurrent topics in Jonathan J. Rios's work include Neurofibromatosis and Schwannoma Cases (9 papers), Connective tissue disorders research (7 papers) and Genetic factors in colorectal cancer (5 papers). Jonathan J. Rios is often cited by papers focused on Neurofibromatosis and Schwannoma Cases (9 papers), Connective tissue disorders research (7 papers) and Genetic factors in colorectal cancer (5 papers). Jonathan J. Rios collaborates with scholars based in United States, Australia and Mexico. Jonathan J. Rios's co-authors include Rui Yue, Hua Yu, Olaia Naveiras, Bo Zhou, Zhiyu Zhao, Sean J. Morrison, Marybeth Ezaki, Helen H. Hobbs, Jonathan C. Cohen and Leslie G. Biesecker and has published in prestigious journals such as Nature Medicine, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Jonathan J. Rios

38 papers receiving 1.5k citations

Hit Papers

Bone marrow adipocytes promote the regeneration of stem c... 2014 2026 2018 2022 2017 2014 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 J. Rios United States 16 456 430 333 223 217 42 1.5k
Monica L. Calicchio United States 15 387 0.8× 532 1.2× 152 0.5× 124 0.6× 342 1.6× 21 1.8k
Shoshana Greenberger Israel 23 615 1.3× 434 1.0× 149 0.4× 56 0.3× 317 1.5× 94 1.5k
Berne Ferry United Kingdom 23 291 0.6× 396 0.9× 214 0.6× 152 0.7× 133 0.6× 46 1.8k
Hobart W. Walling United States 23 212 0.5× 389 0.9× 179 0.5× 118 0.5× 368 1.7× 70 2.2k
Markus G. Seidel Austria 24 266 0.6× 474 1.1× 373 1.1× 470 2.1× 456 2.1× 74 2.2k
Nollaig A. Parfrey Ireland 24 347 0.8× 240 0.6× 235 0.7× 69 0.3× 225 1.0× 43 1.8k
Jochen Rößler Germany 23 569 1.2× 598 1.4× 120 0.4× 88 0.4× 562 2.6× 110 1.8k
Elimelech Okon Israel 22 300 0.7× 335 0.8× 139 0.4× 188 0.8× 381 1.8× 72 1.7k
Ramesh C. Nayak United States 27 447 1.0× 680 1.6× 437 1.3× 263 1.2× 172 0.8× 75 2.0k
Hiroyuki Maeda Japan 23 469 1.0× 634 1.5× 181 0.5× 108 0.5× 405 1.9× 114 1.8k

Countries citing papers authored by Jonathan J. Rios

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan J. Rios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan J. Rios

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan J. Rios. A scholar is included among the top collaborators of Jonathan J. Rios 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 J. Rios. Jonathan J. Rios 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.
Paria, Nandina, et al.. (2025). Molecular Evidence Supporting MEK Inhibitor Therapy in NF1 Pseudarthrosis. Journal of Bone and Joint Surgery. 107(10). 1098–1106.
3.
Zhong, Xue, James J. Moresco, Jianhui Wang, et al.. (2024). Viable mutations of mouse midnolin suppress B cell malignancies. The Journal of Experimental Medicine. 221(6). 11 indexed citations
4.
Khalid, Aysha B., et al.. (2024). KBTBD2 controls bone development by regulating IGF-1 signaling during osteoblast differentiation. Cell Death and Differentiation. 32(6). 1099–1111. 1 indexed citations
5.
Rios, Jonathan J., John M. Shelton, Nandina Paria, et al.. (2024). Spatial transcriptomics implicates impaired BMP signaling in NF1 fracture pseudarthrosis in murine and patient tissues. JCI Insight. 9(16). 5 indexed citations
6.
Zhang, Yichi, et al.. (2024). Deletion of Pax1 scoliosis-associated regulatory elements leads to a female-biased tail abnormality. Cell Reports. 43(3). 113907–113907. 1 indexed citations
7.
Zhang, Jing, et al.. (2023). Hyperactive KRAS/MAPK signaling disrupts normal lymphatic vessel architecture and function. Frontiers in Cell and Developmental Biology. 11. 1276333–1276333. 9 indexed citations
8.
Rios, Jonathan J., Hao Yu, Kandamurugu Manickam, et al.. (2021). Saturation mutagenesis defines novel mouse models of severe spine deformity. Disease Models & Mechanisms. 14(6). 4 indexed citations
9.
Xing, Chao, Mohammed Kanchwala, Jonathan J. Rios, et al.. (2021). Biallelic variants in RNU12 cause CDAGS syndrome. Human Mutation. 42(8). 1042–1052. 9 indexed citations
10.
Makki, Nadja, Jingjing Zhao, Zhaoyang Liu, et al.. (2020). Genomic characterization of the adolescent idiopathic scoliosis-associated transcriptome and regulome. Human Molecular Genetics. 29(22). 3606–3615. 5 indexed citations
11.
Khalid, Aysha B., et al.. (2020). Bone development and fracture healing is normal in mice that have a defect in the development of the lymphatic system. Europe PMC (PubMed Central). 2 indexed citations
12.
Ma, Yun, Andrea M. Gross, Eva Dombi, et al.. (2020). A molecular basis for neurofibroma-associated skeletal manifestations in NF1. Genetics in Medicine. 22(11). 1786–1793. 16 indexed citations
13.
Wise, Carol A., Diane S. Sepich, Anas M. Khanshour, et al.. (2020). The cartilage matrisome in adolescent idiopathic scoliosis. Bone Research. 8(1). 13–13. 32 indexed citations
14.
Ndong, Jean De La Croix, Alexander J. Makowski, Sasidhar Uppuganti, et al.. (2014). Asfotase-α improves bone growth, mineralization and strength in mouse models of neurofibromatosis type-1. Nature Medicine. 20(8). 904–910. 50 indexed citations
15.
Zhang, Wei, Junichi Soh, Victor Stastny, et al.. (2013). CDKN2A/p16 Inactivation Mechanisms and Their Relationship to Smoke Exposure and Molecular Features in Non–Small-Cell Lung Cancer. Journal of Thoracic Oncology. 8(11). 1378–1388. 74 indexed citations
16.
Paria, Nandina, Lawson A. Copley, John A. Herring, et al.. (2013). Whole-Exome Sequencing. Journal of Bone and Joint Surgery. 95(23). e185–e185. 4 indexed citations
17.
Soyombo, Abigail A., Yipin Wu, Jonathan J. Rios, et al.. (2013). Analysis of Induced Pluripotent Stem Cells from a BRCA1 Mutant Family. Stem Cell Reports. 1(4). 336–349. 36 indexed citations
18.
Rios, Jonathan J., Jo-Ann G. W. Fleming, Uneeda K. Bryant, et al.. (2010). OAS1 Polymorphisms Are Associated with Susceptibility to West Nile Encephalitis in Horses. PLoS ONE. 5(5). e10537–e10537. 59 indexed citations
19.
Rios, Jonathan J., Andrey A. Perelygin, Maureen T. Long, et al.. (2007). Characterization of the equine 2'-5' oligoadenylate synthetase 1 (OAS1) and ribonuclease L (RNASEL) innate immunity genes. BMC Genomics. 8(1). 313–313. 12 indexed citations
20.
Rios, Jonathan J., et al.. (2000). Genetic differentiation among geographically isolated populations of Criollo cattle and their divergence from other Bos taurus breeds.. Journal of Animal Science. 78(9). 2314–2314. 24 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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