Liping Tan

873 total citations
11 papers, 151 citations indexed

About

Liping Tan is a scholar working on Epidemiology, Molecular Biology and Nephrology. According to data from OpenAlex, Liping Tan has authored 11 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 2 papers in Molecular Biology and 2 papers in Nephrology. Recurrent topics in Liping Tan's work include Sepsis Diagnosis and Treatment (4 papers), Neonatal and Maternal Infections (2 papers) and Adenosine and Purinergic Signaling (1 paper). Liping Tan is often cited by papers focused on Sepsis Diagnosis and Treatment (4 papers), Neonatal and Maternal Infections (2 papers) and Adenosine and Purinergic Signaling (1 paper). Liping Tan collaborates with scholars based in China and Singapore. Liping Tan's co-authors include Shaojun Li, Tian Tang, Xiaoxiao Ao, Pengfei Guo, Lan Hu, Qing Zou, Qiu Li, Feng Xu, Qing Zou and Haiping Yang and has published in prestigious journals such as PLoS ONE, PEDIATRICS and Medicine.

In The Last Decade

Liping Tan

9 papers receiving 147 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liping Tan China	5	41	24	23	20	20	11	151
Tuncay Toprak Türkiye	9	47 1.1×	10 0.4×	43 1.9×	49 2.5×	17 0.8×	39	247
Luca Antonucci Italy	5	16 0.4×	45 1.9×	10 0.4×	22 1.1×	18 0.9×	14	199
Michaela Walker United States	5	22 0.5×	15 0.6×	15 0.7×	36 1.8×	26 1.3×	6	140
Cosimo Carriere Italy	12	31 0.8×	32 1.3×	25 1.1×	28 1.4×	22 1.1×	28	327
Serena Ottanelli Italy	11	55 1.3×	45 1.9×	35 1.5×	19 0.9×	55 2.8×	26	413
Maryam Rahmati Iran	12	30 0.7×	10 0.4×	39 1.7×	14 0.7×	22 1.1×	49	493
Jae‐Moon Yun South Korea	5	51 1.2×	14 0.6×	23 1.0×	12 0.6×	42 2.1×	7	260
Victoria Mendoza‐Zubieta Mexico	9	34 0.8×	10 0.4×	30 1.3×	7 0.3×	31 1.6×	29	220
Ionela Pașcanu Romania	8	34 0.8×	28 1.2×	35 1.5×	6 0.3×	34 1.7×	36	206
Andrew J. Ullmann Germany	11	50 1.2×	12 0.5×	25 1.1×	41 2.0×	23 1.1×	17	280

Countries citing papers authored by Liping Tan

Since Specialization

Citations

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

Fields of papers citing papers by Liping Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liping Tan

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

All Works

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11 of 11 papers shown

Wang, Chunyi, et al.. (2025). Combination of nucleated red blood cells and inflammatory biomarkers (PCT and CRP) for predicting sepsis and septic shock in children. Frontiers in Cellular and Infection Microbiology. 15. 1603216–1603216.

Li, Shaojun, Jing Li, Hongdong Li, et al.. (2024). Validating the performance of organ dysfunction scores in children with infection: A cohort study. PLoS ONE. 19(7). e0306172–e0306172.

Li, Hongdong, et al.. (2023). Nucleated red blood cells as a novel biomarker in the diagnosis and prediction of sepsis severity in children. Frontiers in Cellular and Infection Microbiology. 13. 1264607–1264607. 1 indexed citations

Zhou, Liang, et al.. (2022). A single‐center PICU present status survey of pediatric sepsis‐related acute respiratory distress syndrome. Pediatric Pulmonology. 57(9). 2003–2011. 3 indexed citations

Li, Shaojun, et al.. (2021). Diagnostic Accuracy of Plasma Ghrelin Concentrations in Pediatric Sepsis-Associated Acute Respiratory Distress Syndrome: A Single-Center Cohort Study. Frontiers in Pediatrics. 9. 664052–664052. 4 indexed citations

Tan, Liping, et al.. (2019). Efficacy and acceptability of immunosuppressive agents for pediatric frequently-relapsing and steroid-dependent nephrotic syndrome. Medicine. 98(22). e15927–e15927. 10 indexed citations

Li, Shaojun, Tian Tang, Pengfei Guo, et al.. (2019). A meta-analysis of randomized controlled trials. Medicine. 98(9). e14733–e14733. 99 indexed citations

Guo, Pengfei, et al.. (2017). B-type brain natriuretic peptide as a measure of the severity of hand-foot-mouth disease: a case-control study. BMC Infectious Diseases. 17(1). 651–651. 5 indexed citations

Xu, Hong, Luling He, Bing Wu, et al.. (2014). Trans-Resveratrol Attenuates High Fatty Acid-Induced P2X7 Receptor Expression and IL-6 Release in PC12 Cells: Possible Role of P38 MAPK Pathway. Inflammation. 38(1). 327–337. 25 indexed citations

10.

Tan, Liping, et al.. (2008). PROTECTIVE EFFECT OF N-ACETYLCYSTEINE ON HYPEROXIA-INDUCED LUNG INJURY AND ITS INTERACTION WITH P38 MITOGEN-ACTIVATED PROTEIN KINASE SIGNALING PATHWAY. PEDIATRICS. 121(Supplement_2). S155–S156. 1 indexed citations

11.

Tan, Liping, et al.. (2006). [Expression and modulation of aquaporin 5 in hyperoxia induced lung injury].. PubMed. 18(8). 462–5. 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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