Xinran Ma

3.0k total citations · 1 hit paper
58 papers, 1.5k citations indexed

About

Xinran Ma is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Xinran Ma has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 27 papers in Physiology and 18 papers in Epidemiology. Recurrent topics in Xinran Ma's work include Adipose Tissue and Metabolism (25 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers) and Cancer-related molecular mechanisms research (4 papers). Xinran Ma is often cited by papers focused on Adipose Tissue and Metabolism (25 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers) and Cancer-related molecular mechanisms research (4 papers). Xinran Ma collaborates with scholars based in China, United States and United Kingdom. Xinran Ma's co-authors include Lingyan Xu, Elisabetta Mueller, Oksana Gavrilova, Wenjun Zhao, Dongmei Wang, Toren Finkel, Monica C. Skarulis, Jie Liu, Anna Teresa Alberobello and Alessia Bagattin and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Xinran Ma

53 papers receiving 1.5k citations

Hit Papers

Local hyperthermia therapy induces browning of white fat ... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinran Ma China 21 652 559 398 166 139 58 1.5k
Pooja Jha Switzerland 17 1.3k 2.0× 629 1.1× 665 1.7× 136 0.8× 185 1.3× 21 2.4k
Federica Cioffi Italy 27 792 1.2× 761 1.4× 376 0.9× 146 0.9× 136 1.0× 72 1.9k
Yajun Lin China 21 726 1.1× 229 0.4× 286 0.7× 189 1.1× 82 0.6× 78 1.6k
Dionysios V. Chartoumpekis Greece 26 1.5k 2.3× 413 0.7× 319 0.8× 404 2.4× 104 0.7× 63 2.3k
Xiaopeng Li China 16 998 1.5× 295 0.5× 239 0.6× 333 2.0× 195 1.4× 36 2.0k
Zhimin Chen China 21 684 1.0× 526 0.9× 570 1.4× 169 1.0× 112 0.8× 45 1.7k
Arild C. Rustan Norway 23 739 1.1× 682 1.2× 204 0.5× 92 0.6× 223 1.6× 57 1.5k
Valeria De Nigris Spain 19 647 1.0× 445 0.8× 201 0.5× 197 1.2× 65 0.5× 26 1.6k
Sabina Paglialunga Canada 23 726 1.1× 667 1.2× 339 0.9× 80 0.5× 180 1.3× 50 1.6k
Ke Cao China 20 861 1.3× 273 0.5× 176 0.4× 126 0.8× 52 0.4× 43 1.5k

Countries citing papers authored by Xinran Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xinran Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinran Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xinran Ma. A scholar is included among the top collaborators of Xinran 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 Xinran Ma. Xinran 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.
Meng, Meiyao, Shuang Liu, Yinzhao Zhong, et al.. (2025). Zinc finger protein ZNF638 in brown fat deteriorates type 1 diabetes via retinol binding protein 4. Science Bulletin. 71(3). 505–509.
2.
Niu, Zuoshun, Miao Xu, Bo Peng, et al.. (2025). Are “Clean” Days Really Clean? Single Particle Elemental Signatures of PM 2.5 Unveil Their Pulmonary Health Risks. Environment & Health. 3(11). 1299–1310.
3.
4.
Guo, Yuhan, Xiaozhen Guo, Ziqi Liu, et al.. (2024). Ucp1 Ablation Improves Skeletal Muscle Glycolytic Function in Aging Mice. Advanced Science. 12(2). e2411015–e2411015. 6 indexed citations
5.
Wang, Dongmei, Meiyao Meng, Jin Qiu, et al.. (2024). FOXA3 regulates cholesterol metabolism to compensate for low uptake during the progression of lung adenocarcinoma. PLoS Biology. 22(5). e3002621–e3002621. 1 indexed citations
6.
Wu, Wenjuan, Hongxia Jia, Xinran Ma, et al.. (2024). Inhibition of OGG1 ameliorates pulmonary fibrosis via preventing M2 macrophage polarization and activating PINK1-mediated mitophagy. Molecular Medicine. 30(1). 72–72. 9 indexed citations
7.
Li, Yu, Yankang Zhang, Dongmei Wang, et al.. (2023). Rna M6a Methylation Regulates Glycolysis of Beige Fat and Contributes to Systemic Metabolic Homeostasis. Advanced Science. 10(25). e2300436–e2300436. 15 indexed citations
8.
An, Yunhe, Tanxi Cai, Bao‐Ming Li, et al.. (2023). A subpopulation of CD146+ macrophages enhances antitumor immunity by activating the NLRP3 inflammasome. Cellular and Molecular Immunology. 20(8). 908–923. 27 indexed citations
9.
Meng, Meiyao, Yankang Zhang, Shuang Liu, et al.. (2023). HnRNPA2B1 Aggravates Inflammation by Promoting M1 Macrophage Polarization. Nutrients. 15(7). 1555–1555. 9 indexed citations
10.
Johnson, Lynne L., et al.. (2023). Blocking RAGE expression after injury reduces inflammation in mouse model of acute lung injury. Respiratory Research. 24(1). 3 indexed citations
11.
Li, Yu, Dongmei Wang, Yankang Zhang, et al.. (2022). Local hyperthermia therapy induces browning of white fat and treats obesity. Cell. 185(6). 949–966.e19. 141 indexed citations breakdown →
12.
Jin, Yunyun, Qianqian Liu, Peng Chen, et al.. (2022). A novel prostaglandin E receptor 4 (EP4) small molecule antagonist induces articular cartilage regeneration. Cell Discovery. 8(1). 24–24. 29 indexed citations
13.
Duan, Yehui, Changbing Zheng, Jie Zheng, et al.. (2022). Profiles of muscular amino acids, fatty acids, and metabolites in Shaziling pigs of different ages and relation to meat quality. Science China Life Sciences. 66(6). 1323–1339. 35 indexed citations
14.
Jiang, Shi‐You, Guoqiang Li, Chenchen Li, et al.. (2022). Synthesis of heterocyclic ring-fused analogs of HMG499 as novel degraders of HMG-CoA reductase that lower cholesterol. European Journal of Medicinal Chemistry. 236. 114323–114323. 16 indexed citations
15.
Xu, Xiang, Caizhi Liu, Xiaoxin Chen, et al.. (2021). Nuclear UHRF1 is a gate-keeper of cellular AMPK activity and function. Cell Research. 32(1). 54–71. 29 indexed citations
16.
Liu, Caizhi, Bing Zhou, Meiyao Meng, et al.. (2021). FOXA3 induction under endoplasmic reticulum stress contributes to non-alcoholic fatty liver disease. Journal of Hepatology. 75(1). 150–162. 69 indexed citations
17.
Ma, Xinran, Dongmei Wang, Wenjun Zhao, & Lingyan Xu. (2018). Deciphering the Roles of PPARγ in Adipocytes via Dynamic Change of Transcription Complex. Frontiers in Endocrinology. 9. 473–473. 141 indexed citations
18.
Xu, Lingyan, Wenjun Zhao, Dongmei Wang, & Xinran Ma. (2018). Chinese Medicine in the Battle Against Obesity and Metabolic Diseases. Frontiers in Physiology. 9. 850–850. 52 indexed citations
19.
Ma, Xinran, Lingyan Xu, & Elisabetta Mueller. (2016). Forkhead box A3 mediates glucocorticoid receptor function in adipose tissue. Proceedings of the National Academy of Sciences. 113(12). 3377–3382. 19 indexed citations
20.
Ma, Xinran, Lingyan Xu, Oksana Gavrilova, & Elisabetta Mueller. (2014). Role of forkhead box protein A3 in age-associated metabolic decline. Proceedings of the National Academy of Sciences. 111(39). 14289–14294. 57 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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