Xing He

1.1k total citations
35 papers, 782 citations indexed

About

Xing He is a scholar working on Molecular Biology, Parasitology and Hepatology. According to data from OpenAlex, Xing He has authored 35 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Parasitology and 7 papers in Hepatology. Recurrent topics in Xing He's work include Parasites and Host Interactions (9 papers), Liver physiology and pathology (6 papers) and MicroRNA in disease regulation (5 papers). Xing He is often cited by papers focused on Parasites and Host Interactions (9 papers), Liver physiology and pathology (6 papers) and MicroRNA in disease regulation (5 papers). Xing He collaborates with scholars based in China, United States and United Kingdom. Xing He's co-authors include Weiqing Pan, Yange Wang, Dongmei Zhang, Shuxiong Zeng, Chuanliang Xu, Yinghao Sun, Yongping Xue, Anwei Liu, Qiao Xiong and Yue Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Hepatology.

In The Last Decade

Xing He

32 papers receiving 772 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xing He China	16	341	240	186	177	125	35	782
Masatoshi Deguchi Japan	14	257 0.8×	73 0.3×	21 0.1×	128 0.7×	157 1.3×	42	643
Baoping Guo China	15	146 0.4×	51 0.2×	120 0.6×	111 0.6×	16 0.1×	36	583
Vedat Göral Türkiye	14	147 0.4×	75 0.3×	24 0.1×	224 1.3×	196 1.6×	41	675
Christy E. Trussoni United States	18	343 1.0×	196 0.8×	49 0.3×	530 3.0×	389 3.1×	26	1.3k
Nicholas Peake United Kingdom	14	162 0.5×	128 0.5×	41 0.2×	92 0.5×	122 1.0×	23	635
Lesley M. Chapman United States	5	249 0.7×	117 0.5×	21 0.1×	77 0.4×	93 0.7×	5	972
Xiaoqun Zheng China	14	270 0.8×	127 0.5×	16 0.1×	60 0.3×	160 1.3×	68	705
Keiko Kaneko Japan	20	426 1.2×	52 0.2×	10 0.1×	133 0.8×	215 1.7×	54	1.4k
Jean-Paul Papin France	12	231 0.7×	33 0.1×	101 0.5×	111 0.6×	51 0.4×	18	877
Nóra Schweitzer Germany	18	363 1.1×	255 1.1×	6 0.0×	238 1.3×	295 2.4×	34	960

Countries citing papers authored by Xing He

Since Specialization

Citations

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

Fields of papers citing papers by Xing He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing He

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wen, Jun, Kai Wen, Tao Meng, et al.. (2025). Integrated analysis reveals an immune evasion prognostic signature for predicting the overall survival in patients with hepatocellular carcinoma. Cancer Cell International. 25(1). 101–101. 2 indexed citations

Zhou, Xing, et al.. (2024). Critical and diverse role of alarmin cytokines in parasitic infections. Frontiers in Cellular and Infection Microbiology. 14. 1418500–1418500. 3 indexed citations

Chen, Lin, et al.. (2024). Numerical simulation of gas-liquid interface in a blade type propellant tank. Journal of Physics Conference Series. 2752(1). 12190–12190. 1 indexed citations

He, Xing, et al.. (2023). Porcine Acellular Dermal Matrix Promotes Migration and Suppresses Inflammation of Keratinocytes by Mediating the AKT Signaling Pathway. Chemical and Pharmaceutical Bulletin. 71(12). 852–858. 1 indexed citations

Liu, Yongbao, et al.. (2023). Effects of Different Materials on Residual Stress Fields of Blade Damaged by Foreign Objects. Materials. 16(10). 3662–3662. 8 indexed citations

He, Xing, Feng Tian, Fei Guo, et al.. (2022). Circulating exosomal mRNA signatures for the early diagnosis of clear cell renal cell carcinoma. BMC Medicine. 20(1). 270–270. 22 indexed citations

He, Xing & Weiqing Pan. (2022). Host–parasite interactions mediated by cross-species microRNAs. Trends in Parasitology. 38(6). 478–488. 18 indexed citations

Xu, Huan, Junyi Chen, Jingyi He, et al.. (2021). Serum Metabolic Profiling Identifies a Biomarker Panel for Improvement of Prostate Cancer Diagnosis. Frontiers in Oncology. 11. 666320–666320. 20 indexed citations

Zhang, Haorui, Jian Feng, Yutao Li, et al.. (2021). Associations Between CAMKK1 Polymorphism rs7214723 and the Prognosis of Patients With Lung Cancer. Frontiers in Oncology. 11. 757484–757484. 9 indexed citations

10.

Liu, Tianhui, et al.. (2021). POS0136 ROLES OF AUTOPHAGY IN THE PATHOGENESIS OF PRIMARY GOUTY ARTHRITIS. Annals of the Rheumatic Diseases. 80. 280–280. 1 indexed citations

11.

Wang, Yange, Xing He, Xiaoxi Wang, et al.. (2020). A MicroRNA Derived From Schistosoma japonicum Promotes Schistosomiasis Hepatic Fibrosis by Targeting Host Secreted Frizzled-Related Protein 1. Frontiers in Cellular and Infection Microbiology. 10. 101–101. 22 indexed citations

12.

Liu, Fei, Anwei Liu, Xin Lü, et al.. (2019). Dysbiosis signatures of the microbial profile in tissue from bladder cancer. Cancer Medicine. 8(16). 6904–6914. 96 indexed citations

13.

Song, Ruixiang, Xing He, Yifan Chang, et al.. (2019). Learning Curve for the Tension-Free Vaginal Tape–Obturator Procedure for Female Stress Urinary Incontinence: A Prospective Single-Surgeon Study. Journal of Endourology. 34(2). 209–214. 5 indexed citations

14.

He, Xing, et al.. (2019). A schistosome miRNA promotes host hepatic fibrosis by targeting transforming growth factor beta receptor III. Journal of Hepatology. 72(3). 519–527. 49 indexed citations

15.

Luo, Xufeng, Dongmei Zhang, Jun Xie, et al.. (2018). MicroRNA-96 Promotes Schistosomiasis Hepatic Fibrosis in Mice by Suppressing Smad7. Molecular Therapy — Methods & Clinical Development. 11. 73–82. 19 indexed citations

16.

He, Xing, Jun Xie, Yange Wang, et al.. (2018). Down-regulation of microRNA-203-3p initiates type 2 pathology during schistosome infection via elevation of interleukin-33. PLoS Pathogens. 14(3). e1006957–e1006957. 30 indexed citations

17.

He, Xing, Rui Tang, Yue Sun, et al.. (2016). MicroR-146 blocks the activation of M1 macrophage by targeting signal transducer and activator of transcription 1 in hepatic schistosomiasis. EBioMedicine. 13. 339–347. 67 indexed citations

18.

Liu, Yun‐Cai, et al.. (2016). High levels of glucose promote the activation of hepatic stellate cells via the p38-mitogen-activated protein kinase signal pathway. Genetics and Molecular Research. 15(3). 15 indexed citations

19.

He, Xing, et al.. (2014). Activation of Nuclear Factor Kappa B in the Hepatic Stellate Cells of Mice with Schistosomiasis Japonica. PLoS ONE. 9(8). e104323–e104323. 18 indexed citations

20.

Kirschmann, D A, Xing He, & Donna M. Murasko. (1994). Inhibition of macrophage-induced, antigen-specific T-cell proliferation by poly I:C role of suppressor macrophages.. PubMed. 82(2). 238–43. 5 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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