Man J. Livingston

4.2k total citations · 3 hit papers
37 papers, 3.2k citations indexed

About

Man J. Livingston is a scholar working on Molecular Biology, Epidemiology and Nephrology. According to data from OpenAlex, Man J. Livingston has authored 37 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Epidemiology and 12 papers in Nephrology. Recurrent topics in Man J. Livingston's work include Autophagy in Disease and Therapy (13 papers), Chronic Kidney Disease and Diabetes (8 papers) and Dental materials and restorations (6 papers). Man J. Livingston is often cited by papers focused on Autophagy in Disease and Therapy (13 papers), Chronic Kidney Disease and Diabetes (8 papers) and Dental materials and restorations (6 papers). Man J. Livingston collaborates with scholars based in United States, China and France. Man J. Livingston's co-authors include Zheng Dong, D.H. Pashley, Chengyuan Tang, Zhiwen Liu, Xiao-Ming Yin, Robert Safirstein, Joseph A. Hill, Han‐Fei Ding, Ming Zhang and Guie Dong and has published in prestigious journals such as Journal of Clinical Investigation, Scientific Reports and The FASEB Journal.

In The Last Decade

Man J. Livingston

36 papers receiving 3.2k citations

Hit Papers

Autophagy in kidney homeostasis and disease 2020 2026 2022 2024 2020 2022 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Man J. Livingston United States 27 1.1k 848 814 489 479 37 3.2k
Christian Conradt Germany 28 717 0.6× 429 0.5× 184 0.2× 118 0.2× 126 0.3× 70 3.0k
Romuald Mentaverri France 35 1.2k 1.1× 271 0.3× 828 1.0× 71 0.1× 20 0.0× 76 3.2k
Michel Brazier France 34 1.1k 1.0× 171 0.2× 781 1.0× 67 0.1× 16 0.0× 88 3.3k
Feng Ye China 32 1.6k 1.5× 331 0.4× 733 0.9× 54 0.1× 14 0.0× 120 3.6k
Lijuan Guo China 23 1.2k 1.1× 400 0.5× 58 0.1× 64 0.1× 42 0.1× 117 2.5k
Yu‐Hsun Kao Taiwan 29 1.1k 1.0× 183 0.2× 97 0.1× 181 0.4× 19 0.0× 131 2.8k
I. Byrjalsen Denmark 42 1.7k 1.6× 393 0.5× 93 0.1× 31 0.1× 45 0.1× 143 5.6k
K. Kushida Japan 36 890 0.8× 176 0.2× 370 0.5× 67 0.1× 11 0.0× 118 3.9k
Andrea Frustaci Italy 44 2.0k 1.8× 1.6k 1.9× 76 0.1× 32 0.1× 48 0.1× 167 9.1k
Hideyuki Yamato Japan 27 677 0.6× 96 0.1× 1.0k 1.3× 46 0.1× 14 0.0× 74 2.4k

Countries citing papers authored by Man J. Livingston

Since Specialization
Citations

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

Fields of papers citing papers by Man J. Livingston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Man J. Livingston. 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 Man J. Livingston. The network helps show where Man J. Livingston may publish in the future.

Co-authorship network of co-authors of Man J. Livingston

This figure shows the co-authorship network connecting the top 25 collaborators of Man J. Livingston. A scholar is included among the top collaborators of Man J. Livingston 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 Man J. Livingston. Man J. Livingston 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.
Wei, Qingqing, Man J. Livingston, Shixuan Wang, et al.. (2024). Pseudogene GSTM3P1 derived long non-coding RNA promotes ischemic acute kidney injury by target directed microRNA degradation of kidney-protective mir-668. Kidney International. 106(4). 640–657. 4 indexed citations
2.
Li, Siyao, Man J. Livingston, Xiaoru Hu, et al.. (2023). Tubular cell senescence promotes maladaptive kidney repair and chronic kidney disease after cisplatin nephrotoxicity. JCI Insight. 8(8). 60 indexed citations
3.
Wei, Qingqing, Man J. Livingston, Guie Dong, et al.. (2022). PFKFB3 mediates tubular cell death in cisplatin nephrotoxicity by activating CDK4. Translational research. 253. 31–40. 11 indexed citations
4.
Mei, Shuqin, Lin Li, Xiangjun Zhou, et al.. (2022). Susceptibility of renal fibrosis in diabetes: Role of hypoxia inducible factor‐1. The FASEB Journal. 36(8). e22477–e22477. 13 indexed citations
5.
Tang, Chengyuan, Man J. Livingston, Robert Safirstein, & Zheng Dong. (2022). Cisplatin nephrotoxicity: new insights and therapeutic implications. Nature Reviews Nephrology. 19(1). 53–72. 300 indexed citations breakdown →
6.
Xiang, Xiaohong, Jiefu Zhu, Gang Zhang, et al.. (2021). Proximal Tubule p53 in Cold Storage/Transplantation-Associated Kidney Injury and Renal Graft Dysfunction. Frontiers in Medicine. 8. 746346–746346. 2 indexed citations
7.
Wen, Jin, Zhengwei Ma, Man J. Livingston, et al.. (2020). Decreased secretion and profibrotic activity of tubular exosomes in diabetic kidney disease. American Journal of Physiology-Renal Physiology. 319(4). F664–F673. 39 indexed citations
8.
Tang, Chengyuan, Man J. Livingston, Zhiwen Liu, & Zheng Dong. (2020). Autophagy in kidney homeostasis and disease. Nature Reviews Nephrology. 16(9). 489–508. 354 indexed citations breakdown →
9.
Ma, Zhengwei, Li Lin, Man J. Livingston, et al.. (2020). p53/microRNA-214/ULK1 axis impairs renal tubular autophagy in diabetic kidney disease. Journal of Clinical Investigation. 130(9). 5011–5026. 154 indexed citations
10.
Zhao, Xingchen, Man J. Livingston, Xinling Liang, & Zheng Dong. (2019). Cell Apoptosis and Autophagy in Renal Fibrosis. Advances in experimental medicine and biology. 1165. 557–584. 62 indexed citations
11.
Liu, Jing, Man J. Livingston, Guie Dong, et al.. (2018). Histone deacetylase inhibitors protect against cisplatin-induced acute kidney injury by activating autophagy in proximal tubular cells. Cell Death and Disease. 9(3). 322–322. 80 indexed citations
12.
Wei, Qingqing, Haipeng Sun, Shuwei Song, et al.. (2018). MicroRNA-668 represses MTP18 to preserve mitochondrial dynamics in ischemic acute kidney injury. Journal of Clinical Investigation. 128(12). 5448–5464. 101 indexed citations
13.
Yang, Danyi, Man J. Livingston, Zhiwen Liu, et al.. (2017). Autophagy in diabetic kidney disease: regulation, pathological role and therapeutic potential. Cellular and Molecular Life Sciences. 75(4). 669–688. 197 indexed citations
14.
Mei, Shuqin, Man J. Livingston, Jielu Hao, et al.. (2016). Autophagy is activated to protect against endotoxic acute kidney injury. Scientific Reports. 6(1). 22171–22171. 84 indexed citations
15.
Wang, Shixuan, Man J. Livingston, Yunchao Su, & Zheng Dong. (2015). Reciprocal regulation of cilia and autophagy via the MTOR and proteasome pathways. Autophagy. 11(4). 607–616. 111 indexed citations
16.
He, Liyu, Man J. Livingston, & Zheng Dong. (2014). Autophagy in Acute Kidney Injury and Repair. Nephron Clinical Practice. 127(1-4). 56–60. 72 indexed citations
17.
Livingston, Man J. & Zheng Dong. (2013). Autophagy in Acute Kidney Injury. Seminars in Nephrology. 34(1). 17–26. 79 indexed citations
18.
Pashley, D.H., et al.. (1978). BASIC BIOLOGICAL SCIENCES Dentin Permeability: Changes Produced by Iontophoresis. Journal of Dental Research. 57(1). 77–82. 18 indexed citations
19.
Pashley, D.H. & Man J. Livingston. (1978). Effect of molecular size on permeability coefficients in human dentine. Archives of Oral Biology. 23(5). 391–395. 90 indexed citations
20.
Pashley, D.H., et al.. (1977). Rate of Permeation of Isotopes Through Human Dentin, In Vitro. Journal of Dental Research. 56(1). 83–88. 35 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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