Jared M. Brown

2.8k total citations · 1 hit paper
18 papers, 2.1k citations indexed

About

Jared M. Brown is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Nephrology. According to data from OpenAlex, Jared M. Brown has authored 18 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Health, Toxicology and Mutagenesis and 4 papers in Nephrology. Recurrent topics in Jared M. Brown's work include Air Quality and Health Impacts (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Kidney Stones and Urolithiasis Treatments (2 papers). Jared M. Brown is often cited by papers focused on Air Quality and Health Impacts (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Kidney Stones and Urolithiasis Treatments (2 papers). Jared M. Brown collaborates with scholars based in United States, Mexico and Sweden. Jared M. Brown's co-authors include Beverly H. Koller, Krisztián Németh, Balázs Mayer, Kent Doi, Xuzhen Hu, Pamela Gehron Robey, Alissa Parmelee, Éva Mezey, Asada Leelahavanichkul and Robert A. Star and has published in prestigious journals such as Nature Medicine, Scientific Reports and Radiology.

In The Last Decade

Jared M. Brown

18 papers receiving 2.1k citations

Hit Papers

Bone marrow stromal cells attenuate sepsis via prostaglan... 2008 2026 2014 2020 2008 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jared M. Brown United States 10 1.4k 632 490 461 440 18 2.1k
Alissa Parmelee United States 6 1.4k 1.0× 607 1.0× 617 1.3× 445 1.0× 456 1.0× 7 2.2k
Sander S. Korevaar Netherlands 29 1.6k 1.1× 918 1.5× 653 1.3× 721 1.6× 254 0.6× 56 2.6k
Ruth S. Waterman United States 17 1.2k 0.9× 761 1.2× 461 0.9× 377 0.8× 328 0.7× 43 2.2k
Marc H. Dahlke Germany 25 1.3k 0.9× 1.0k 1.7× 700 1.4× 350 0.8× 253 0.6× 54 2.6k
Ian B. Copland United States 29 1.1k 0.8× 890 1.4× 522 1.1× 214 0.5× 735 1.7× 42 2.3k
Marcella Franquesa Spain 30 1.2k 0.9× 836 1.3× 1.1k 2.2× 624 1.4× 232 0.5× 70 2.9k
Manuel A. González United States 17 824 0.6× 729 1.2× 273 0.6× 253 0.5× 417 0.9× 49 2.1k
Lynne M. Ball Netherlands 14 2.5k 1.8× 1.0k 1.6× 696 1.4× 528 1.1× 411 0.9× 37 3.3k
Huayong Zhang China 25 2.0k 1.5× 716 1.1× 1.0k 2.1× 584 1.3× 199 0.5× 71 3.2k
Satoru Morikawa Japan 22 1.2k 0.9× 502 0.8× 946 1.9× 242 0.5× 243 0.6× 82 2.5k

Countries citing papers authored by Jared M. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Jared M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jared M. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Jared M. Brown. A scholar is included among the top collaborators of Jared M. Brown 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 Jared M. Brown. Jared M. Brown 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.
Roncal-Jiménez, Carlos A., et al.. (2024). Health burden of sugarcane burning on agricultural workers and nearby communities. Inhalation Toxicology. 36(5). 327–342. 6 indexed citations
2.
Brindley, Stephen, Carlos A. Roncal-Jiménez, Richard J. Johnson, et al.. (2024). Exposome and Metabolome Analysis of Sugarcane Workers Reveals Predictors of Kidney Injury. Kidney International Reports. 9(5). 1458–1472. 5 indexed citations
3.
Sharma, Sadhana, Stephen Brindley, Jared M. Brown, et al.. (2024). Targeting Neuroinflammation by Pharmacologic Downregulation of Inflammatory Pathways Is Neuroprotective in Protein Misfolding Disorders. ACS Chemical Neuroscience. 15(7). 1533–1547. 14 indexed citations
4.
Sharma, Sadhana, Stephen Brindley, Jared M. Brown, et al.. (2024). Large- and Small-Animal Studies of Safety, Pharmacokinetics, and Biodistribution of Inflammasome-Targeting Nanoligomer in the Brain and Other Target Organs. ACS Pharmacology & Translational Science. 7(11). 3439–3451. 9 indexed citations
5.
Roncal-Jiménez, Carlos A., Julia Wijkström, Annika Wernerson, et al.. (2024). Intranasal administration of sugarcane ash causes chronic kidney disease in rats. American Journal of Physiology-Renal Physiology. 326(3). F477–F484. 3 indexed citations
6.
Roede, James R., et al.. (2023). Sugarcane ash and sugarcane ash-derived silica nanoparticles alter cellular metabolism in human proximal tubular kidney cells. Environmental Pollution. 332. 121951–121951. 7 indexed citations
7.
Chen, Yi‐Hsuan, Dorothy Nguyen, Stephen Brindley, et al.. (2023). The dependence of particle size on cell toxicity for modern mining dust. Scientific Reports. 13(1). 5101–5101. 14 indexed citations
8.
Hankiewicz, J, et al.. (2023). Magnetic particle based MRI thermometry at 0.2 T and 3 T. Magnetic Resonance Imaging. 100. 43–54. 4 indexed citations
9.
Courtney, Colleen M., Nolan J. O’Connor, Thomas R. Aunins, et al.. (2023). Safety and Biodistribution of Nanoligomers Targeting the SARS-CoV-2 Genome for the Treatment of COVID-19. ACS Biomaterials Science & Engineering. 9(3). 1656–1671. 7 indexed citations
10.
Courtney, Colleen M., Nolan J. O’Connor, Thomas R. Aunins, et al.. (2022). Nanoligomers Targeting Human miRNA for the Treatment of Severe COVID-19 Are Safe and Nontoxic in Mice. ACS Biomaterials Science & Engineering. 8(7). 3087–3106. 12 indexed citations
11.
Roncal-Jiménez, Carlos A., Yuka Sato, Jared M. Brown, et al.. (2021). Climate change and nephrology. Nephrology Dialysis Transplantation. 38(1). 41–48. 50 indexed citations
12.
Thompson, L. C., Jonathan H. Shannahan, Najwa Haykal-Coates, et al.. (2019). Early Proteome Shift and Serum Bioactivity Precede Diesel Exhaust-induced Impairment of Cardiovascular Recovery in Spontaneously Hypertensive Rats. Scientific Reports. 9(1). 6885–6885. 7 indexed citations
13.
Németh, Krisztián, Asada Leelahavanichkul, Peter S.T. Yuen, et al.. (2008). Bone marrow stromal cells attenuate sepsis via prostaglandin E2–dependent reprogramming of host macrophages to increase their interleukin-10 production. Nature Medicine. 15(1). 42–49. 1889 indexed citations breakdown →
14.
Boackle, Susan A., Jared M. Brown, Mark Haas, et al.. (2004). CR1/CR2 Deficiency Alters IgG3 Autoantibody Production and IgA Glomerular Deposition in the MRL/lprModel of SLE. Autoimmunity. 37(2). 111–123. 25 indexed citations
15.
Brown, Jared M., L Hammers, J W Barton, et al.. (1995). Quantitative Doppler assessment of acute scrotal inflammation.. Radiology. 197(2). 427–431. 35 indexed citations
16.
Grosso, Michael, Anirban Banerjee, Jared M. Brown, et al.. (1989). Neonatal functional tolerance to ischemia-reperfusion may be induced in adult myocardium by 5'-nucleotidase inhibition. 40. 271–273. 2 indexed citations
17.
Brown, Jared M., et al.. (1988). Pharmacokinetics of gentamicin in cats given Escherichia coli endotoxin.. PubMed. 49(5). 603–7. 16 indexed citations
18.
Pleasants, Roy A., et al.. (1988). Accuracy of tobramycin delivery by four i.v. infusion methods.. PubMed. 7(5). 367–73. 9 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