Xiaochao Ma

6.4k total citations
138 papers, 4.9k citations indexed

About

Xiaochao Ma is a scholar working on Pharmacology, Molecular Biology and Oncology. According to data from OpenAlex, Xiaochao Ma has authored 138 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Pharmacology, 51 papers in Molecular Biology and 44 papers in Oncology. Recurrent topics in Xiaochao Ma's work include Pharmacogenetics and Drug Metabolism (56 papers), Drug Transport and Resistance Mechanisms (41 papers) and Drug-Induced Hepatotoxicity and Protection (29 papers). Xiaochao Ma is often cited by papers focused on Pharmacogenetics and Drug Metabolism (56 papers), Drug Transport and Resistance Mechanisms (41 papers) and Drug-Induced Hepatotoxicity and Protection (29 papers). Xiaochao Ma collaborates with scholars based in United States, China and Czechia. Xiaochao Ma's co-authors include Frank J. Gonzalez, Kristopher W. Krausz, Jeffrey R. Idle, Feng Li, Pengcheng Wang, Yatrik M. Shah, Jie Cheng, Wen Xie, Jie Lu and Jie Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Xiaochao Ma

128 papers receiving 4.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaochao Ma United States 38 1.8k 1.6k 1.2k 644 468 138 4.9k
Yvonne Will United States 37 2.6k 1.4× 1.0k 0.6× 639 0.5× 442 0.7× 307 0.7× 84 5.3k
Ai‐Ming Yu United States 49 3.8k 2.1× 1.6k 1.0× 1.6k 1.3× 327 0.5× 300 0.6× 159 6.8k
Jacques Magdalou France 43 3.0k 1.6× 2.0k 1.2× 1.2k 1.0× 275 0.4× 613 1.3× 259 7.5k
Kiyoshi Nagata Japan 44 2.5k 1.4× 2.7k 1.7× 1.5k 1.3× 497 0.8× 620 1.3× 231 6.6k
Cheng Huang China 51 4.4k 2.4× 632 0.4× 1.2k 1.0× 1.7k 2.6× 651 1.4× 263 8.8k
Mary Vore United States 42 1.3k 0.7× 1.0k 0.6× 2.8k 2.4× 444 0.7× 916 2.0× 159 5.6k
Xinxin Ding United States 46 2.6k 1.4× 3.1k 1.9× 1.5k 1.3× 317 0.5× 172 0.4× 210 6.7k
Hao‐Jie Zhu United States 40 1.5k 0.8× 882 0.5× 757 0.6× 329 0.5× 258 0.6× 194 4.7k
Linlin Lu China 40 2.6k 1.4× 766 0.5× 939 0.8× 340 0.5× 242 0.5× 169 4.6k
Jordi Muntané Spain 43 2.3k 1.3× 452 0.3× 694 0.6× 1.6k 2.5× 1.1k 2.4× 167 5.9k

Countries citing papers authored by Xiaochao Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochao Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochao Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochao Ma. A scholar is included among the top collaborators of Xiaochao Ma 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 Xiaochao Ma. Xiaochao Ma 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.
2.
Wang, Yuyin, Keito Hoshitsuki, Lauren Kokai, et al.. (2024). Induction of Cyp2e1 contributes to asparaginase-induced hepatocyte sensitization to lipotoxicity. Acta Pharmaceutica Sinica B. 15(2). 963–972.
3.
Ma, Xiaochao, et al.. (2024). DEAD-box helicase family proteins: emerging targets in digestive system cancers and advances in targeted drug development. Journal of Translational Medicine. 22(1). 1120–1120.
4.
Zhu, Junjie, Fu‐Ying Qin, Saifei Lei, et al.. (2024). Inhibition of ABCG2 prevents phototoxicity in a mouse model of erythropoietic protoporphyria. Nature Communications. 15(1). 10557–10557. 1 indexed citations
5.
Hussain, Zahir, Qian Qi, Junjie Zhu, Karl E. Anderson, & Xiaochao Ma. (2023). Protoporphyrin IX-induced phototoxicity: Mechanisms and therapeutics. Pharmacology & Therapeutics. 248. 108487–108487. 25 indexed citations
6.
Liu, Silvia, Minakshi Poddar, Sucha Singh, et al.. (2023). Loss of TAZ after YAP deletion severely impairs foregut development and worsens cholestatic hepatocellular injury. Hepatology Communications. 7(9). 3 indexed citations
7.
Zhu, Junjie, Jianhua Li, Jie Lu, et al.. (2021). Targeting Xenobiotic Nuclear Receptors PXR and CAR to Prevent Cobicistat Hepatotoxicity. Toxicological Sciences. 181(1). 58–67. 14 indexed citations
8.
Xu, Pengfei, Yue Xi, Pengcheng Wang, et al.. (2021). Inhibition of p53 Sulfoconjugation Prevents Oxidative Hepatotoxicity and Acute Liver Failure. Gastroenterology. 162(4). 1226–1241. 25 indexed citations
9.
Xu, Pengfei, Yue Xi, Junjie Zhu, et al.. (2021). Intestinal Sulfation Is Essential to Protect Against Colitis and Colonic Carcinogenesis. Gastroenterology. 161(1). 271–286.e11. 42 indexed citations
10.
Wan, Zhuoya, Runzi Sun, Yang‐Wuyue Liu, et al.. (2021). Targeting metabotropic glutamate receptor 4 for cancer immunotherapy. Science Advances. 7(50). eabj4226–eabj4226. 23 indexed citations
11.
Zhu, Junjie, et al.. (2020). ABCG2 Deficiency Does Not Alter Dolutegravir Metabolism and Pharmacokinetics. Journal of Pharmacology and Experimental Therapeutics. 374(1). 38–43. 4 indexed citations
12.
He, Hang, Jiangfeng Li, Xiang‐Gao Meng, et al.. (2016). Developmental regulation of CYP3A4 and CYP3A7 in Chinese Han population. Drug Metabolism and Pharmacokinetics. 31(6). 433–444. 17 indexed citations
13.
Kong, Bo, Iván L. Csanaky, Lauren M. Aleksunes, et al.. (2012). Gender-specific reduction of hepatic Mrp2 expression by high-fat diet protects female mice from ANIT toxicity. Toxicology and Applied Pharmacology. 261(2). 189–195. 15 indexed citations
14.
Li, Feng, Dun‐Xian Tan, Lirong Zhang, et al.. (2010). Analysis of N 1 ‐acetyl‐ N 2 ‐formyl‐5‐methoxykynuramine/ N 1 ‐acetyl‐5‐methoxy‐kynuramine formation from melatonin in mice. Journal of Pineal Research. 49(2). 106–114. 16 indexed citations
15.
Li, Feng, Jie Lu, Laiyou Wang, & Xiaochao Ma. (2010). CYP3A-Mediated Generation of Aldehyde and Hydrazine in Atazanavir Metabolism. Drug Metabolism and Disposition. 39(3). 394–401. 24 indexed citations
16.
Gautam, Dinesh, Marco Scarselli, Iñigo Ruı́z de Azúa, et al.. (2009). A chemical-genetic approach to study G protein regulation of β cell function in vivo. Proceedings of the National Academy of Sciences. 106(45). 19197–19202. 256 indexed citations
17.
Ma, Xiaochao, Chi Chen, Kristopher W. Krausz, Jeffrey R. Idle, & Frank J. Gonzalez. (2008). A Metabolomic Perspective of Melatonin Metabolism in the Mouse. Endocrinology. 149(4). 1869–1879. 48 indexed citations
18.
Wang, Ting, Xiaochao Ma, Kristopher W. Krausz, Jeffrey R. Idle, & Frank J. Gonzalez. (2007). Role of Pregnane X Receptor in Control of All-Trans Retinoic Acid (ATRA) Metabolism and Its Potential Contribution to ATRA Resistance. Journal of Pharmacology and Experimental Therapeutics. 324(2). 674–684. 37 indexed citations
19.
Wang, Haixue, et al.. (2005). Induction of liver cytochrome P450 1A2 expression by flutamide in rats1. Acta Pharmacologica Sinica. 26(11). 1382–1386. 10 indexed citations
20.
Zhang, Lirong, et al.. (2002). Influence of piperacillin on pharmacokinetics of etimicin in healthy volunteers.. PubMed. 23(4). 376–80. 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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