Yingyi Luan

1.5k total citations
51 papers, 1.0k citations indexed

About

Yingyi Luan is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Yingyi Luan has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 18 papers in Immunology and 16 papers in Molecular Biology. Recurrent topics in Yingyi Luan's work include Immune Response and Inflammation (10 papers), Sepsis Diagnosis and Treatment (10 papers) and Inflammasome and immune disorders (6 papers). Yingyi Luan is often cited by papers focused on Immune Response and Inflammation (10 papers), Sepsis Diagnosis and Treatment (10 papers) and Inflammasome and immune disorders (6 papers). Yingyi Luan collaborates with scholars based in China and United States. Yingyi Luan's co-authors include Yong-ming Yao, Chenghong Yin, Zhi-yong Sheng, Xianzhong Xiao, Ning Dong, Yongming Yao, Yingying Li, Ruixia Liu, Qinghong Zhang and Meng Xie and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The FASEB Journal and The Journal of Infectious Diseases.

In The Last Decade

Yingyi Luan

49 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingyi Luan China 15 316 294 267 100 95 51 1.0k
Georgia Antoniadi Greece 23 276 0.9× 313 1.1× 205 0.8× 102 1.0× 149 1.6× 77 1.4k
Kuo‐Tung Tang Taiwan 18 304 1.0× 278 0.9× 139 0.5× 118 1.2× 98 1.0× 93 1.2k
Chiara Bellia Italy 25 232 0.7× 208 0.7× 253 0.9× 48 0.5× 136 1.4× 56 1.3k
Nikolaos I. Vlachogiannis Greece 19 143 0.5× 403 1.4× 196 0.7× 162 1.6× 61 0.6× 47 1.0k
Manole Cojocaru Romania 19 298 0.9× 295 1.0× 240 0.9× 40 0.4× 115 1.2× 94 1.4k
Anna Stelmaszczyk‐Emmel Poland 16 283 0.9× 239 0.8× 216 0.8× 53 0.5× 101 1.1× 84 1.2k
David Díaz Spain 19 204 0.6× 293 1.0× 366 1.4× 50 0.5× 101 1.1× 35 984
Peng Yan China 21 280 0.9× 433 1.5× 488 1.8× 64 0.6× 144 1.5× 70 1.5k
Nels C. Olson United States 18 287 0.9× 254 0.9× 236 0.9× 31 0.3× 93 1.0× 57 1.0k
Maria Majdan Poland 20 242 0.8× 276 0.9× 253 0.9× 43 0.4× 153 1.6× 169 1.4k

Countries citing papers authored by Yingyi Luan

Since Specialization
Citations

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

Fields of papers citing papers by Yingyi Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingyi Luan

This figure shows the co-authorship network connecting the top 25 collaborators of Yingyi Luan. A scholar is included among the top collaborators of Yingyi Luan 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 Yingyi Luan. Yingyi Luan 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.
Li, Yingying, et al.. (2025). Fundamental mechanisms of cell death for polycystic ovary syndrome. Biochemistry and Biophysics Reports. 43. 102043–102043. 3 indexed citations
2.
Yang, Kai, Yingyi Luan, Shan Wang, et al.. (2024). SGMS1 facilitates osteogenic differentiation of MSCs and strengthens osteogenesis-angiogenesis coupling by modulating Cer/PP2A/Akt pathway. iScience. 27(4). 109358–109358. 4 indexed citations
3.
4.
Liu, Yan, et al.. (2023). Effectiveness of early heparin therapy on outcomes in critically ill patients with sepsis-induced coagulopathy. Frontiers in Pharmacology. 14. 1173893–1173893. 13 indexed citations
5.
Liu, Yan, et al.. (2023). Impact of early heparin therapy on outcomes in patients with solid malignancy associated sepsis: a marginal structural model causal analyse. Frontiers in Pharmacology. 14. 1281235–1281235. 2 indexed citations
6.
7.
Li, Yingying, et al.. (2023). The Role and Potential Regulatory Mechanism of STING Modulated Macrophage Apoptosis and Differentiation in Severe Acute Pancreatitis-Associated Lung Injury. Journal of Interferon & Cytokine Research. 43(10). 455–468. 7 indexed citations
8.
Luan, Yingyi, Enping Huang, Jiajia Huang, et al.. (2023). Serum myoglobin modulates kidney injury via inducing ferroptosis after exertional heatstroke. Journal of Translational Internal Medicine. 11(2). 178–188. 34 indexed citations
9.
Wang, Bin, et al.. (2022). Early Combination of Albumin With Crystalloid Administration Might Reduce Mortality in Patients With Cardiogenic Shock: An Over 10-Year Intensive Care Survey. Frontiers in Cardiovascular Medicine. 9. 879812–879812. 3 indexed citations
10.
Li, Chunyun, Lei Zhang, Tingting Zhang, et al.. (2022). The potential role and regulatory mechanism of IL-33/ST2 axis on T lymphocytes during lipopolysaccharide stimulation or perinatal Listeria infection. International Immunopharmacology. 108. 108742–108742. 3 indexed citations
11.
Yang, Kai, Huaying Hu, Yazhuo Li, et al.. (2021). Investigation of a Novel NTRK1 Variation Causing Congenital Insensitivity to Pain With Anhidrosis. Frontiers in Genetics. 12. 763467–763467. 7 indexed citations
12.
Chen, Yanhong, et al.. (2021). Association between Procalcitonin and Acute Kidney Injury in Patients with Bacterial Septic Shock. Blood Purification. 50(6). 790–799. 10 indexed citations
13.
Luan, Yingyi, Yan Liu, Xueyan Liu, et al.. (2020). Coronavirus disease 2019 (COVID-19) associated coagulopathy and its impact on outcomes in Shenzhen, China: A retrospective cohort study. Thrombosis Research. 195. 62–68. 5 indexed citations
14.
Zhang, Lei, et al.. (2018). Tumor Necrosis Factor-α Induced Protein 8: Pathophysiology, Clinical Significance, and Regulatory Mechanism. International Journal of Biological Sciences. 14(4). 398–405. 29 indexed citations
15.
Luan, Yingyi, Ning Dong, Xiaomei Zhu, et al.. (2015). Effect of Regulatory T Cells on Promoting Apoptosis of T Lymphocyte and Its Regulatory Mechanism in Sepsis. Journal of Interferon & Cytokine Research. 35(12). 969–980. 44 indexed citations
16.
Luan, Yingyi, Yong-ming Yao, Xianzhong Xiao, & Zhi-yong Sheng. (2014). Insights into the Apoptotic Death of Immune Cells in Sepsis. Journal of Interferon & Cytokine Research. 35(1). 17–22. 78 indexed citations
17.
Luan, Yingyi, Ning Dong, Meng Xie, Xianzhong Xiao, & Yong-ming Yao. (2013). The Significance and Regulatory Mechanisms of Innate Immune Cells in the Development of Sepsis. Journal of Interferon & Cytokine Research. 34(1). 2–15. 73 indexed citations
18.
Luan, Yingyi, et al.. (2012). [Effect of high mobility group box-1 protein on immune cells and its regulatory mechanism].. PubMed. 28(6). 548–54. 1 indexed citations
19.
Luan, Yingyi, Yong-Ming Yao, & Zhi-yong Sheng. (2012). Update on the Immunological Pathway of Negative Regulation in Acute Insults and Sepsis. Journal of Interferon & Cytokine Research. 32(7). 288–298. 8 indexed citations
20.
Luan, Yingyi, Yong-Ming Yao, Lei Zhang, et al.. (2011). Expression of tumor necrosis factor-α induced protein 8 like-2 contributes to the immunosuppressive property of CD4+CD25+ regulatory T cells in mice. Molecular Immunology. 49(1-2). 219–226. 38 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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