Zhongmao Fu

407 total citations
10 papers, 252 citations indexed

About

Zhongmao Fu is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Zhongmao Fu has authored 10 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Cancer Research. Recurrent topics in Zhongmao Fu's work include Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (4 papers) and Cancer-related molecular mechanisms research (3 papers). Zhongmao Fu is often cited by papers focused on Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (4 papers) and Cancer-related molecular mechanisms research (3 papers). Zhongmao Fu collaborates with scholars based in China. Zhongmao Fu's co-authors include Zai Luo, Chen Huang, Zhengjun Qiu, Jianming Zhang, Zhilong Yu, Zeyin Rong, Zhonglin Zhu, Tengfei Li, Pengshan Zhang and Tengfei Li and has published in prestigious journals such as Oncogene, Molecular Cancer and Cancer Science.

In The Last Decade

Zhongmao Fu

10 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhongmao Fu China	7	192	168	39	31	29	10	252
Qian Fei China	10	171 0.9×	151 0.9×	48 1.2×	48 1.5×	26 0.9×	19	264
Dapeng Lei China	13	266 1.4×	199 1.2×	30 0.8×	50 1.6×	16 0.6×	33	309
Ye‐Ying Fang China	12	220 1.1×	197 1.2×	49 1.3×	48 1.5×	18 0.6×	29	308
Yugang Ge China	11	256 1.3×	207 1.2×	44 1.1×	53 1.7×	34 1.2×	17	330
Wenjia Su China	6	300 1.6×	290 1.7×	18 0.5×	32 1.0×	21 0.7×	11	358
Xiaojun Man China	9	185 1.0×	115 0.7×	44 1.1×	41 1.3×	20 0.7×	22	244
Agna Karina Eterovic United States	2	207 1.1×	106 0.6×	36 0.9×	44 1.4×	15 0.5×	2	249
Chenye Shao China	9	287 1.5×	250 1.5×	67 1.7×	42 1.4×	62 2.1×	13	370
Shengda Cao China	12	229 1.2×	179 1.1×	42 1.1×	46 1.5×	31 1.1×	30	302
Tale Barøy Norway	5	253 1.3×	263 1.6×	80 2.1×	29 0.9×	13 0.4×	5	341

Countries citing papers authored by Zhongmao Fu

Since Specialization

Citations

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

Fields of papers citing papers by Zhongmao Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongmao Fu

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

All Works

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10 of 10 papers shown

1.

Zhang, Jianming, Zhongmao Fu, Yuan Zhang, et al.. (2022). CHREBP suppresses gastric cancer progression via the cyclin D1-Rb-E2F1 pathway. Cell Death Discovery. 8(1). 300–300. 7 indexed citations

2.

Fu, Zhongmao, Pengshan Zhang, Renchao Zhang, et al.. (2022). Novel hypoxia-induced HIF1α-circTDRD3-positive feedback loop promotes the growth and metastasis of colorectal cancer. Oncogene. 42(3). 238–252. 18 indexed citations

3.

Li, Tengfei, Yan Yang, Weidong Wu, et al.. (2021). Prognostic implications of ENE and LODDS in relation to lymph node-positive colorectal cancer location. Translational Oncology. 14(11). 101190–101190. 17 indexed citations

4.

Yu, Zhilong, Zeyin Rong, Zai Luo, et al.. (2021). Aberrant Non-Coding RNA Expressed in Gastric Cancer and Its Diagnostic Value. Frontiers in Oncology. 11. 606764–606764. 13 indexed citations

5.

Rong, Zeyin, Zai Luo, Zhongmao Fu, et al.. (2021). The novel circSLC6A6/miR-1265/C2CD4A axis promotes colorectal cancer growth by suppressing p53 signaling pathway. Journal of Experimental & Clinical Cancer Research. 40(1). 324–324. 9 indexed citations

6.

Luo, Zai, Zhongmao Fu, Tengfei Li, et al.. (2021). Development and Validation of the Individualized Prognostic Nomograms in Patients With Right- and Left-Sided Colon Cancer. Frontiers in Oncology. 11. 709835–709835. 4 indexed citations

7.

Li, Tengfei, Zekuan Yu, Yanlian Yang, et al.. (2021). Rapid multi-dynamic algorithm for gray image analysis of the stroma percentage on colorectal cancer. Journal of Cancer. 12(15). 4561–4573. 6 indexed citations

8.

Zhang, Jianming, Jing Zhang, Zhongmao Fu, et al.. (2021). CHREBP Suppresses Gastric Cancer Progression via the Cyclin D1-Rb-E2F1 Pathway. SSRN Electronic Journal. 1 indexed citations

9.

Rong, Zeyin, Zai Luo, Jianming Zhang, et al.. (2020). GINS complex subunit 4, a prognostic biomarker and reversely mediated by Krüppel‐like factor 4, promotes the growth of colorectal cancer. Cancer Science. 111(4). 1203–1217. 31 indexed citations

10.

Luo, Zai, Zeyin Rong, Jianming Zhang, et al.. (2020). Circular RNA circCCDC9 acts as a miR-6792-3p sponge to suppress the progression of gastric cancer through regulating CAV1 expression. Molecular Cancer. 19(1). 86–86. 146 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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