Arnold Salazar

2.5k total citations · 1 hit paper
15 papers, 1.8k citations indexed

About

Arnold Salazar is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Arnold Salazar has authored 15 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 5 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in Arnold Salazar's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Tryptophan and brain disorders (4 papers) and Alzheimer's disease research and treatments (4 papers). Arnold Salazar is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Tryptophan and brain disorders (4 papers) and Alzheimer's disease research and treatments (4 papers). Arnold Salazar collaborates with scholars based in United States. Arnold Salazar's co-authors include Jefferson W. Kinney, Andrew S. Murtishaw, Shane M. Bemiller, Bruce T. Lamb, Indira U. Mysorekar, Arpita Basu, Jeffrey L. Ebersole, Michael L. Neugent, Nicole J. De Nisco and Kenneth Izuora and has published in prestigious journals such as Blood, Developmental Cell and Developmental Biology.

In The Last Decade

Arnold Salazar

14 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Inflammation as a central mechanism in Alzheimer's disease

2018 1.6k citations Jefferson W. Kinney, Shane M. Bemiller et al. Alzheimer s & Dementia Translational Research & Clinical Interventions profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arnold Salazar United States	9	859	548	536	319	249	15	1.8k
Andrew S. Murtishaw United States	10	875 1.0×	575 1.0×	520 1.0×	341 1.1×	262 1.1×	17	1.8k
Fangda Leng China	4	944 1.1×	953 1.7×	692 1.3×	409 1.3×	230 0.9×	10	2.1k
Yiyuan Xia China	26	991 1.2×	363 0.7×	1.0k 1.9×	258 0.8×	244 1.0×	57	2.4k
Lina Ma China	20	553 0.6×	386 0.7×	510 1.0×	133 0.4×	190 0.8×	58	1.8k
L. Fernández‐Novoa Spain	22	660 0.8×	562 1.0×	455 0.8×	185 0.6×	341 1.4×	73	1.7k
Izaskun Buendía Spain	26	525 0.6×	727 1.3×	1.3k 2.3×	310 1.0×	345 1.4×	41	2.7k
Fan Zeng China	22	994 1.2×	323 0.6×	835 1.6×	400 1.3×	126 0.5×	58	1.9k
Heather Wilkins United States	28	1.1k 1.3×	365 0.7×	1.4k 2.6×	201 0.6×	285 1.1×	102	2.9k
Dibbanti HariKrishnaReddy India	16	569 0.7×	390 0.7×	515 1.0×	192 0.6×	205 0.8×	36	1.4k
Erika Gyengési Australia	27	625 0.7×	404 0.7×	651 1.2×	145 0.5×	324 1.3×	51	2.2k

Countries citing papers authored by Arnold Salazar

Since Specialization

Citations

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

Fields of papers citing papers by Arnold Salazar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnold Salazar

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

All Works

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15 of 15 papers shown

Murtishaw, Andrew S., et al.. (2025). Impact of chronic hyperglycemia and high-fat diet on Alzheimer’s disease-related pathology in CX3CR1 knockout mice. Metabolic Brain Disease. 40(5). 197–197. 1 indexed citations

Salazar, Arnold, Steven J. Bark, Jeffrey W. Brown, et al.. (2024). IFRD1 is required for maintenance of bladder epithelial homeostasis. iScience. 27(12). 111282–111282.

Salazar, Arnold, et al.. (2023). D-Mannose reduces cellular senescence and NLRP3/GasderminD/IL-1β-driven pyroptotic uroepithelial cell shedding in the murine bladder. Developmental Cell. 59(1). 33–47.e5. 11 indexed citations

Osse, Amanda M. Leisgang, Ravi S. Pandey, Arnold Salazar, et al.. (2023). Reduction in GABAB on glia induce Alzheimer’s disease related changes. Brain Behavior and Immunity. 110. 260–275. 10 indexed citations

Salazar, Arnold, Michael L. Neugent, Nicole J. De Nisco, & Indira U. Mysorekar. (2022). Gut-bladder axis enters the stage: Implication for recurrent urinary tract infections. Cell Host & Microbe. 30(8). 1066–1069. 24 indexed citations

Salazar, Arnold, et al.. (2022). Effects of aging on urinary tract epithelial homeostasis and immunity. Developmental Biology. 493. 29–39. 22 indexed citations

Basu, Arpita, Kenneth Izuora, Nancy M. Betts, et al.. (2021). Dietary Strawberries Improve Cardiometabolic Risks in Adults with Obesity and Elevated Serum LDL Cholesterol in a Randomized Controlled Crossover Trial. Nutrients. 13(5). 1421–1421. 30 indexed citations

Basu, Arpita, et al.. (2021). Dietary Blueberry and Soluble Fiber Improve Serum Antioxidant and Adipokine Biomarkers and Lipid Peroxidation in Pregnant Women with Obesity and at Risk for Gestational Diabetes. Antioxidants. 10(8). 1318–1318. 19 indexed citations

Fiskus, Warren, Christopher P. Mill, Christine Birdwell, et al.. (2021). Preclinically Effective Menin Inhibitor SNDX-50469 and SNDX-5613-Based Combinations Against MLL1-Rearranged (MLL-r) or NPM1-Mutant AML Models. Blood. 138(Supplement 1). 3340–3340. 2 indexed citations

10.

Davis, John A., Warren Fiskus, Naval Daver, et al.. (2021). Clinical-Stage Menin Inhibitor KO-539 Is Synergistically Active with Multiple Classes of Targeted Agents in KMT2A-r and NPM1-Mutant AML Models. Blood. 138(Supplement 1). 3357–3357. 7 indexed citations

11.

Caldwell, Jessica, Jefferson W. Kinney, Aaron Ritter, et al.. (2020). Inflammatory cytokine levels implicated in Alzheimer’s disease moderate the effects of sex on verbal memory performance. Brain Behavior and Immunity. 95. 27–35. 14 indexed citations

12.

Salazar, Arnold, et al.. (2020). Alterations of GABA B receptors in the APP/PS1 mouse model of Alzheimer's disease. Neurobiology of Aging. 97. 129–143. 17 indexed citations

13.

Landers, Merrill R., Kyle N. Johnson, Samantha Johnson, et al.. (2019). Pre-diagnosis physical activity habits are associated with age of diagnosis in Parkinson's disease. Clinical Parkinsonism & Related Disorders. 1. 25–30. 1 indexed citations

14.

Kinney, Jefferson W., et al.. (2018). Inflammation as a central mechanism in Alzheimer's disease. Alzheimer s & Dementia Translational Research & Clinical Interventions. 4(1). 575–590. 1629 indexed citations breakdown →

15.

Salazar, Arnold, Peipei Pan, & Nora B. Caberoy. (2016). Tubby Regulates the Oxidative Pathway in the Retina Via Interaction with Estrogen Related Receptor Beta (Esrrβ). Investigative Ophthalmology & Visual Science. 57(12). 184–184. 2 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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