Paul Nioi

7.9k total citations · 1 hit paper
33 papers, 4.3k citations indexed

About

Paul Nioi is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Paul Nioi has authored 33 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Computational Theory and Mathematics. Recurrent topics in Paul Nioi's work include Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers), Genomics, phytochemicals, and oxidative stress (7 papers) and Skin and Cellular Biology Research (4 papers). Paul Nioi is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers), Genomics, phytochemicals, and oxidative stress (7 papers) and Skin and Cellular Biology Research (4 papers). Paul Nioi collaborates with scholars based in United States, United Kingdom and Netherlands. Paul Nioi's co-authors include Truyen Nguyen, Cecil B. Pickett, John D. Hayes, Philip J. Sherratt, Ken Itoh, Michael McMahon, Masayuki Yamamoto, Chung S. Yang, Ronald D. Snyder and Lucas D. Ward and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Molecular and Cellular Biology.

In The Last Decade

Paul Nioi

33 papers receiving 4.3k citations

Hit Papers

The Nrf2-Antioxidant Response Element Signaling Pathway a... 2009 2026 2014 2020 2009 500 1000 1.5k 2.0k

Peers

Paul Nioi
Mi-Kyoung Kwak United States
Suryakant Niture United States
Jiyang Cai United States
Paul Nioi
Citations per year, relative to Paul Nioi Paul Nioi (= 1×) peers Fumiki Katsuoka

Countries citing papers authored by Paul Nioi

Since Specialization
Citations

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

Fields of papers citing papers by Paul Nioi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Nioi

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Nioi. A scholar is included among the top collaborators of Paul Nioi 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 Paul Nioi. Paul Nioi 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.
Deaton, Aimée M., Lynne Krohn, Paul Nioi, et al.. (2025). Rare predicted loss-of-function and damaging missense variants in CFHR5 associate with protection from age-related macular degeneration. The American Journal of Human Genetics. 112(5). 1062–1080. 1 indexed citations
2.
Dimmeler, Stefanie, Paul Nioi, Christopher J. O’Donnell, et al.. (2025). Translation of genomics into routine cardiological practice: insights from a European Society of Cardiology Cardiovascular Round Table. European Heart Journal. 46(15). 1384–1393. 1 indexed citations
3.
Uijl, Estrellita, Dien Ye, Liwei Ren, et al.. (2022). Conventional Vasopressor and Vasopressor‐Sparing Strategies to Counteract the Blood Pressure–Lowering Effect of Small Interfering RNA Targeting Angiotensinogen. Journal of the American Heart Association. 11(15). e026426–e026426. 25 indexed citations
4.
Deaton, Aimée M., Aditi Dubey, Lucas D. Ward, et al.. (2022). Rare loss of function variants in the hepatokine gene INHBE protect from abdominal obesity. Nature Communications. 13(1). 4319–4319. 28 indexed citations
5.
Ward, Lucas D., Margaret M. Parker, Aimée M. Deaton, et al.. (2021). Rare coding variants in DNA damage repair genes associated with timing of natural menopause. Human Genetics and Genomics Advances. 3(2). 100079–100079. 11 indexed citations
6.
Polydefkis, Michael, Simina Ticau, David V. Erbe, et al.. (2021). Neurofilament Light Chain (NfL) as a Potential Biomarker of Treatment Response in Hereditary Transthyretin-Mediated Amyloidosis: Data from the Patisiran Global OLE Study (1291). Neurology. 96(15_supplement). 1 indexed citations
7.
Ticau, Simina, Gautham Sridharan, William Cantley, et al.. (2020). Neurofilament Light Chain as a Biomarker of Hereditary Transthyretin-Mediated Amyloidosis. Neurology. 96(3). e412–e422. 72 indexed citations
8.
Ticau, Simina, Gautham Sridharan, William Cantley, et al.. (2020). Neurofilament Light Chain may Serve As a Biomarker of Neuropathy in Hattr Amyloidosis with Cardiomyopathy. Journal of Cardiac Failure. 26(10). S96–S96. 2 indexed citations
9.
Parker, Margaret M., Simina Ticau, James Butler, et al.. (2020). Transthyretin-stabilising mutation T119M is not associated with protection against vascular disease or death in the UK Biobank. Amyloid. 27(3). 184–190. 5 indexed citations
10.
Born, David A., et al.. (2019). Phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects. Nature Communications. 10(1). 1579–1579. 58 indexed citations
11.
Deaton, Aimée M., et al.. (2018). Rationalizing Secondary Pharmacology Screening Using Human Genetic and Pharmacological Evidence. Toxicological Sciences. 167(2). 593–603. 14 indexed citations
12.
Fielden, Mark R., Lucas D. Ward, Sheroy Minocherhomji, et al.. (2017). Modernizing Human Cancer Risk Assessment of Therapeutics. Trends in Pharmacological Sciences. 39(3). 232–247. 14 indexed citations
13.
Taylor, Scott L., Michael S. Ominsky, Rong Hu, et al.. (2015). Time-dependent cellular and transcriptional changes in the osteoblast lineage associated with sclerostin antibody treatment in ovariectomized rats. Bone. 84. 148–159. 77 indexed citations
14.
Fielden, Mark R., Alex Adai, Robert T. Dunn, et al.. (2011). Development and Evaluation of a Genomic Signature for the Prediction and Mechanistic Assessment of Nongenotoxic Hepatocarcinogens in the Rat. Toxicological Sciences. 124(1). 54–74. 41 indexed citations
15.
Chen, Feifei, et al.. (2010). Toxicoepigenetic Alteration of the Kidney Injury Molecule 1 Gene in Gentamicin-Exposed Rat Kidney. Toxicological Sciences. 117(2). 375–380. 14 indexed citations
16.
Nioi, Paul, Ingrid D. Pardo, & Ronald D. Snyder. (2008). Monitoring the Accumulation of Fluorescently Labeled Phospholipids in Cell Cultures Provides an Accurate Screen for Drugs that Induce Phospholipidosis. Drug and Chemical Toxicology. 31(4). 515–528. 10 indexed citations
17.
Nioi, Paul, et al.. (2007). In Vitro Detection of Drug-Induced Phospholipidosis Using Gene Expression and Fluorescent Phospholipid Based Methodologies. Toxicological Sciences. 99(1). 162–173. 89 indexed citations
18.
Nguyen, Truyen, Philip J. Sherratt, Paul Nioi, Chung S. Yang, & Cecil B. Pickett. (2005). Nrf2 Controls Constitutive and Inducible Expression of ARE-driven Genes through a Dynamic Pathway Involving Nucleocytoplasmic Shuttling by Keap1. Journal of Biological Chemistry. 280(37). 32485–32492. 295 indexed citations
19.
20.
Nioi, Paul, Michael McMahon, Ken Itoh, Masayuki Yamamoto, & John D. Hayes. (2003). Identification of a novel Nrf2-regulated antioxidant response element (ARE) in the mouse NAD(P)H:quinone oxidoreductase 1 gene: reassessment of the ARE consensus sequence. Biochemical Journal. 374(2). 337–348. 404 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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