Ni Ai

2.5k total citations · 1 hit paper
32 papers, 1.7k citations indexed

About

Ni Ai is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Ni Ai has authored 32 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 9 papers in Genetics and 8 papers in Molecular Biology. Recurrent topics in Ni Ai's work include Drug Transport and Resistance Mechanisms (7 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Estrogen and related hormone effects (6 papers). Ni Ai is often cited by papers focused on Drug Transport and Resistance Mechanisms (7 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Estrogen and related hormone effects (6 papers). Ni Ai collaborates with scholars based in United States, China and Switzerland. Ni Ai's co-authors include William J. Welsh, Chung S. Yang, Hong Lu, Ming Zhu Fang, Zhé Hóu, Yi Sun, Yimin Wang, Sean Ekins, Matthew D. Krasowski and Erica J. Reschly and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Environmental Health Perspectives.

In The Last Decade

Ni Ai

29 papers receiving 1.7k 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.

Tea polyphenol (-)-epigallocatechin-3-gallate inhibits DNA methyltransferase and reactivates methylation-silenced genes in cancer cell lines.

2003 834 citations Ni Ai, William J. Welsh et al. profile →

Peers

Ni Ai

MB

GENET

PFM

ONCOL

PHARM

Lesley A. Stanley United Kingdom

Kenichiro Ogura Japan

Naomi Suzuki United States

Jorge Gaspar Portugal

Makoto Asamoto Japan

Adrian J. Fretland United States

Samir A. Salama Egypt

Alaa F. Badawi Canada

Young Jin Moon South Korea

Hongbing Wang United States

Lesley A. Stanley United Kingdom

Ni Ai

723 ×0.9

MB

185 ×0.5

GENET

90 ×0.4

PFM

367 ×1.6

ONCOL

452 ×1.9

PHARM

Citations per year, relative to Ni Ai Ni Ai (= 1×) peers Lesley A. Stanley

Countries citing papers authored by Ni Ai

Since Specialization

Citations

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

Fields of papers citing papers by Ni Ai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ni Ai

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Xue, Yan, Jinyang Li, Yi Liu, et al.. (2025). Enhanced electrical and aging characteristics of Ce-Ca-doped LaAlO3 ceramics for improved NTC thermistor performance. Ceramics International. 51(26). 48354–48364.

2.

Ai, Ni, et al.. (2025). Synergistic leaching-regeneration strategy for the recovery of valuable metals from spent LIBs. Process Safety and Environmental Protection. 202. 107777–107777.

3.

Li, Jinyang, Yong Liu, Ni Ai, et al.. (2024). Enhanced temperature range and stability in LaAlO3 NTC ceramics through Ce-Nb codoping. Journal of Alloys and Compounds. 1010. 177557–177557. 3 indexed citations

4.

Li, Jinyang, et al.. (2024). Microstructural and electrical properties of La0.9B0.1AlO3 (B=Pr, Nd, Sm) ceramics obtained by rare-earth ion doping. Ceramics International. 50(23). 51596–51605.

5.

Ai, Ni, Jinyang Li, Kai Ding, et al.. (2024). Preparation of thermally sensitive ceramics by co-precipitation of mixed acid-soaked spent LIBs: Experimental methods, structure and mechanism. Journal of environmental chemical engineering. 13(1). 115227–115227. 1 indexed citations

6.

Ai, Ni, et al.. (2024). Ba₇Nb_4−xCe_xMoO₂₀: structural and electrical property studies of a novel NTC thermal ceramic. Journal of Materials Chemistry C. 12(46). 18819–18828. 1 indexed citations

7.

Liu, Yi, Jinyang Li, Ni Ai, et al.. (2023). A novel LaAl1-Nb O3 NTC ceramic with excellent stability for high-temperature thermistor. Ceramics International. 49(24). 39898–39907. 7 indexed citations

8.

Paik, Paul K., Jia Luo, Ni Ai, et al.. (2022). Phase I trial of the TNF-α inhibitor certolizumab plus chemotherapy in stage IV lung adenocarcinomas. Nature Communications. 13(1). 6095–6095. 13 indexed citations

9.

Osimitz, Thomas G., et al.. (2014). Polyester monomers lack ability to bind and activate both androgenic and estrogenic receptors as determined by In Vitro and In Silico methods. Food and Chemical Toxicology. 75. 128–138. 4 indexed citations

10.

Helsley, Robert N., Yipeng Sui, Ni Ai, et al.. (2013). Pregnane X Receptor Mediates Dyslipidemia Induced by the HIV Protease Inhibitor Amprenavir in Mice. Molecular Pharmacology. 83(6). 1190–1199. 32 indexed citations

11.

Cai, Haoyang, et al.. (2013). Progenetix: 12 years of oncogenomic data curation. Nucleic Acids Research. 42(D1). D1055–D1062. 26 indexed citations

12.

Duan, Peng, Shanshan Li, Ni Ai, et al.. (2012). Potent Inhibitors of Human Organic Anion Transporters 1 and 3 from Clinical Drug Libraries: Discovery and Molecular Characterization. Molecular Pharmaceutics. 9(11). 3340–3346. 46 indexed citations

13.

Osimitz, Thomas G., Melanie L. Eldridge, Eddie D. Sloter, et al.. (2012). Lack of androgenicity and estrogenicity of the three monomers used in Eastman’s Tritan™ copolyesters. Food and Chemical Toxicology. 50(6). 2196–2205. 35 indexed citations

14.

Sui, Yipeng, Ni Ai, Sehyung Park, et al.. (2012). Bisphenol A and Its Analogues Activate Human Pregnane X Receptor. Environmental Health Perspectives. 120(3). 399–405. 167 indexed citations

15.

Krasowski, Matthew D., Ni Ai, Lee R. Hagey, et al.. (2011). The evolution of farnesoid X, vitamin D, and pregnane X receptors: insights from the green-spotted pufferfish (Tetraodon nigriviridis) and other non-mammalian species. BMC Biochemistry. 12(1). 5–5. 35 indexed citations

16.

Howarth, Deanna L., Lee R. Hagey, Ni Ai, et al.. (2010). Two farnesoid X receptor alpha isoforms in Japanese medaka (Oryzias latipes) are differentially activated in vitro. Aquatic Toxicology. 98(3). 245–255. 17 indexed citations

17.

Ai, Ni, Matthew D. Krasowski, William J. Welsh, & Sean Ekins. (2009). Understanding nuclear receptors using computational methods. Drug Discovery Today. 14(9-10). 486–494. 25 indexed citations

18.

Reschly, Erica J., Ni Ai, Sean Ekins, et al.. (2008). Evolution of the bile salt nuclear receptor FXR in vertebrates*. Journal of Lipid Research. 49(7). 1577–1587. 92 indexed citations

19.

Reschly, Erica J., Ni Ai, William J. Welsh, et al.. (2008). Ligand specificity and evolution of liver X receptors. The Journal of Steroid Biochemistry and Molecular Biology. 110(1-2). 83–94. 56 indexed citations

20.

Ai, Ni. (2005). Development of Heat - Resistant Coatings for Nuclear Facilities and Equipment. 3 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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