Zhong-fu Ma

706 total citations
32 papers, 555 citations indexed

About

Zhong-fu Ma is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Zhong-fu Ma has authored 32 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 8 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Zhong-fu Ma's work include Immune cells in cancer (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Air Quality and Health Impacts (2 papers). Zhong-fu Ma is often cited by papers focused on Immune cells in cancer (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Air Quality and Health Impacts (2 papers). Zhong-fu Ma collaborates with scholars based in China and United States. Zhong-fu Ma's co-authors include Yanbing Liang, Hao Tang, Jingguo Wu, Lijin Zeng, Zhibin Chen, Xuchu Hu, Zhenyu Li, Zhenyu Li, Hui Ming Ge and Qing Yang and has published in prestigious journals such as PLoS ONE, Journal of Cellular Physiology and Heart.

In The Last Decade

Zhong-fu Ma

31 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhong-fu Ma China	12	162	155	76	61	55	32	555
Yanhong Li China	14	142 0.9×	66 0.4×	37 0.5×	29 0.5×	56 1.0×	66	634
Celina Morales Argentina	22	288 1.8×	163 1.1×	62 0.8×	37 0.6×	41 0.7×	61	1.1k
Nathalie Quellard France	19	579 3.6×	189 1.2×	151 2.0×	101 1.7×	22 0.4×	37	1.3k
Alireza Sadeghipour Iran	16	95 0.6×	47 0.3×	22 0.3×	59 1.0×	38 0.7×	66	695
Merve Savaş Türkiye	14	91 0.6×	60 0.4×	29 0.4×	49 0.8×	17 0.3×	46	771
Matthias Rinke Germany	13	92 0.6×	83 0.5×	56 0.7×	15 0.2×	76 1.4×	28	503
Akihiro Araki Japan	17	184 1.1×	187 1.2×	6 0.1×	46 0.8×	107 1.9×	64	927
Jodie Y. Duffy United States	18	172 1.1×	57 0.4×	14 0.2×	8 0.1×	36 0.7×	33	689
Xiaojing Zhou China	12	153 0.9×	71 0.5×	35 0.5×	93 1.5×	25 0.5×	40	436
Kelley M. Bradley United States	11	295 1.8×	125 0.8×	8 0.1×	42 0.7×	22 0.4×	13	686

Countries citing papers authored by Zhong-fu Ma

Since Specialization

Citations

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

Fields of papers citing papers by Zhong-fu Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhong-fu Ma

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

All Works

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20 of 20 papers shown

Jiang, Peng, et al.. (2022). The expression of oxidative stress genes related to myocardial ischemia reperfusion injury in patients with ST-elevation myocardial infarction. World Journal of Emergency Medicine. 13(2). 106–106. 3 indexed citations

Liu, Kuan, Lixing Tian, Xin Tang, et al.. (2020). Neutrophilic granule protein (NGP) attenuates lipopolysaccharide-induced inflammatory responses and enhances phagocytosis of bacteria by macrophages. Cytokine. 128. 155001–155001. 20 indexed citations

Chen, Yi, et al.. (2019). The influence of PM2.5 on lung injury and cytokines in mice. Experimental and Therapeutic Medicine. 44 indexed citations

Chen, Yi, et al.. (2018). Changes in gene expression in lungs of mice exposed to traffic-related air pollution. Molecular and Cellular Probes. 39. 33–40. 9 indexed citations

Ge, Hui Ming, Hao Tang, Yanbing Liang, et al.. (2017). Rhein attenuates inflammation through inhibition of NF-κB and NALP3 inflammasome in vivo and in vitro. Drug Design Development and Therapy. Volume 11. 1663–1671. 88 indexed citations

Liang, Yanbing, Hao Tang, Zhibin Chen, et al.. (2017). Downregulated SOCS1 expression activates the JAK1/STAT1 pathway and promotes polarization of macrophages into M1 type. Molecular Medicine Reports. 16(5). 6405–6411. 95 indexed citations

Wu, Jingguo, Lijin Zeng, Zhenyu Li, et al.. (2017). Effects of small interfering RNA targeting TLR4 on expressions of adipocytokines in obstructive sleep apnea hyponea syndrome with hypertension in a rat model. Journal of Cellular Physiology. 233(10). 6613–6620. 7 indexed citations

Sun, Yang, et al.. (2015). The over-production of TNF-α via Toll-like receptor 4 in spinal dorsal horn contributes to the chronic postsurgical pain in rat. Journal of Anesthesia. 29(5). 734–740. 23 indexed citations

Wang, Zhonghua, Yanbing Liang, Hao Tang, et al.. (2013). Dexamethasone Down-Regulates the Expression of microRNA-155 in the Livers of Septic Mice. PLoS ONE. 8(11). e80547–e80547. 39 indexed citations

10.

Wang, Zhonghua, Yanbing Liang, Hao Tang, et al.. (2012). [Expression and effects of microRNA-155 in the livers of septic mice].. PubMed. 24(3). 154–7. 5 indexed citations

11.

Du, Linlin, Hao Tang, Zhong-fu Ma, et al.. (2011). The Protective Effect of the Recombinant 53-kDa Protein of Trichinella spiralis on Experimental Colitis in Mice. Digestive Diseases and Sciences. 56(10). 2810–2817. 77 indexed citations

12.

Li, Zhenyu, Yanbing Liang, Hao Tang, et al.. (2010). Effect of Anaphylactic Shock on Suppressors of Cytokine Signaling. Immunological Investigations. 39(7). 740–753. 4 indexed citations

13.

Liang, Yanbing, Hao Tang, Hong Zhan, et al.. (2010). [The significance of the changes in expressions of heat shock protein 70 and heme oxygenase-1 in the myocardium in patients died suddenly due to acute myocardial infarction].. PubMed. 22(2). 93–6. 1 indexed citations

14.

Chen, Liang, Hao Tang, Yanbing Liang, et al.. (2010). Expressions of SOCS-1 and SOCS-3 in the myocardium of patients with sudden cardiac death.. PubMed. 1(2). 99–103. 1 indexed citations

15.

Chen, Dongmei, et al.. (2009). Clinical analysis of 15 patients with venous catheter associated Flavimonas oryzihabitans sepsis.. Journal of Tropical Medicine. 9(10). 1151–1153. 1 indexed citations

16.

Tang, Hao, et al.. (2008). [Study of the effect of p53 and Bcl-2 protein expression in myocardial apoptosis in septic rats].. PubMed. 20(12). 733–6. 1 indexed citations

17.

Liao, Xinxue, Xin Li, Zhong-fu Ma, et al.. (2008). [Role of nuclear factor-KappaB in endothelial injury in acute myocardial infarction].. PubMed. 20(7). 413–5. 5 indexed citations

18.

Li, Xin, Qing‐Ling Fu, Xiaoli Jing, et al.. (2006). A meta-analysis of cardiopulmonary resuscitation with and without the administration of thrombolytic agents. Resuscitation. 70(1). 31–36. 50 indexed citations

19.

Ma, Zhong-fu. (2001). Role of p53 and Bcl2 mRNA expression in myocardial cell apoptosis in senile patients with acute myocardial infarction. 1 indexed citations

20.

Ma, Zhong-fu, et al.. (1998). Experimental study on pathogenicity of precore mutants in Hepadnaviridae.. PubMed. 111(6). 519–23. 2 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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