Rong Fu

1.8k total citations
41 papers, 947 citations indexed

About

Rong Fu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rong Fu has authored 41 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Cancer Research and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rong Fu's work include MicroRNA in disease regulation (6 papers), Prostate Cancer Treatment and Research (6 papers) and Cancer-related molecular mechanisms research (5 papers). Rong Fu is often cited by papers focused on MicroRNA in disease regulation (6 papers), Prostate Cancer Treatment and Research (6 papers) and Cancer-related molecular mechanisms research (5 papers). Rong Fu collaborates with scholars based in China, United States and France. Rong Fu's co-authors include Peng Yang, Zongwei Li, Janet L. Stanford, Zhuoyu Li, Ziding Feng, Erika M. Kwon, Elaine A. Ostrander, Suzanne Kolb, Zhuoyu Li and Haili Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Rong Fu

39 papers receiving 937 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rong Fu China 18 499 262 187 176 108 41 947
Lizhu Lin China 19 633 1.3× 202 0.8× 177 0.9× 255 1.4× 63 0.6× 75 1.2k
Sara Verdura Spain 20 728 1.5× 270 1.0× 166 0.9× 288 1.6× 130 1.2× 52 1.3k
Daniel Tamae United States 19 532 1.1× 267 1.0× 269 1.4× 148 0.8× 79 0.7× 24 1.1k
Ruth Sánchez‐Martínez Spain 15 667 1.3× 404 1.5× 116 0.6× 147 0.8× 79 0.7× 21 966
A‐Mei Huang Taiwan 23 735 1.5× 194 0.7× 105 0.6× 232 1.3× 56 0.5× 51 1.2k
Xiongxiong Liu China 15 578 1.2× 184 0.7× 188 1.0× 120 0.7× 37 0.3× 34 999
Bilal Rah India 20 653 1.3× 199 0.8× 122 0.7× 238 1.4× 38 0.4× 47 1.2k
Agnieszka Gomułkiewicz Poland 21 454 0.9× 203 0.8× 206 1.1× 318 1.8× 51 0.5× 61 1.0k
Xuedong Yin China 18 719 1.4× 292 1.1× 147 0.8× 375 2.1× 87 0.8× 48 1.3k

Countries citing papers authored by Rong Fu

Since Specialization
Citations

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

Fields of papers citing papers by Rong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rong Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Rong Fu. A scholar is included among the top collaborators of Rong 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 Rong Fu. Rong Fu 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.
Yu, Shuai, Chang Wang, Rong Fu, et al.. (2024). Relationship between environmental PM2.5 exposure in early pregnancy and thyroid hormone levels in pregnant women. Ecotoxicology and Environmental Safety. 286. 117182–117182. 2 indexed citations
2.
Li, Long, Lina Pu, Jing Yang, et al.. (2024). Deep Learning-based Malicious Energy Attack Detection in Sustainable IoT Network. 417–422.
3.
Fu, Rong, et al.. (2024). SOX9 promotes stemness in the CAL27 cell line of tongue squamous cell carcinoma. Cell Biochemistry and Function. 42(3). e4000–e4000. 1 indexed citations
4.
Yang, Peng, et al.. (2022). Cucurbitacin E Triggers Cellular Senescence in Colon Cancer Cells via Regulating the miR-371b-5p/TFAP4 Signaling Pathway. Journal of Agricultural and Food Chemistry. 70(9). 2936–2947. 16 indexed citations
5.
Yang, Peng, et al.. (2020). Cucurbitacin E Chemosensitizes Colorectal Cancer Cells via Mitigating TFAP4/Wnt/β-Catenin Signaling. Journal of Agricultural and Food Chemistry. 68(48). 14148–14160. 33 indexed citations
6.
Yang, Peng, et al.. (2018). Tannic acid directly targets pyruvate kinase isoenzyme M2 to attenuate colon cancer cell proliferation. Food & Function. 9(11). 5547–5559. 45 indexed citations
7.
Fu, Rong & Peter B. Gilbert. (2016). Joint modeling of longitudinal and survival data with the Cox model and two-phase sampling. Lifetime Data Analysis. 23(1). 136–159. 8 indexed citations
8.
Fu, Rong, Pei Wang, Weiping Ma, et al.. (2016). A Statistical Method for Detecting Differentially Expressed SNVs Based on Next-Generation RNA-Seq Data. Biometrics. 73(1). 42–51. 1 indexed citations
9.
Fu, Rong, et al.. (2015). Mutation of NPHS1 gene in a Chinese child with congenital nephrotic syndrome. Jiefangjun yixue zazhi. 40(7). 578–581. 1 indexed citations
10.
Yang, Peng, et al.. (2014). Pyruvate kinase M2 facilitates colon cancer cell migration via the modulation of STAT3 signalling. Cellular Signalling. 26(9). 1853–1862. 117 indexed citations
11.
Fu, Rong, et al.. (2014). GRP78 Secreted by Colon Cancer Cells Facilitates Cell Proliferation via PI3K/Akt Signaling. Asian Pacific Journal of Cancer Prevention. 15(17). 7245–7249. 41 indexed citations
12.
Li, Zongwei, Zongwei Li, Lichao Zhang, et al.. (2013). Cell-surface GRP78 facilitates colorectal cancer cell migration and invasion. The International Journal of Biochemistry & Cell Biology. 45(5). 987–994. 95 indexed citations
13.
Ding, Kai, et al.. (2012). PRAME Gene Expression in Acute Leukemia and Its Clinical Significance.. SHILAP Revista de lepidopterología. 9(1). 73–6. 23 indexed citations
14.
Kwon, Erika M., Sarah K. Holt, Rong Fu, et al.. (2012). Androgen metabolism and JAK/STAT pathway genes and prostate cancer risk. Cancer Epidemiology. 36(4). 347–353. 38 indexed citations
15.
Liang, Yuanyuan, Donna P. Ankerst, Ziding Feng, et al.. (2012). The risk of biopsy-detectable prostate cancer using the prostate cancer prevention Trial Risk Calculator in a community setting. Urologic Oncology Seminars and Original Investigations. 31(8). 1464–1469. 5 indexed citations
16.
White, Thomas A., Erika M. Kwon, Rong Fu, et al.. (2012). The Monoamine Oxidase A gene promoter repeat and prostate cancer risk. The Prostate. 72(15). 1622–1627. 15 indexed citations
17.
Kwon, Erika M., Claudia A. Salinas, Suzanne Kolb, et al.. (2011). Genetic Polymorphisms in Inflammation Pathway Genes and Prostate Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 20(5). 923–933. 49 indexed citations
18.
Lin, Daniel W., Liesel M. FitzGerald, Rong Fu, et al.. (2011). Genetic Variants in the LEPR , CRY1 , RNASEL , IL4 , and ARVCF Genes Are Prognostic Markers of Prostate Cancer-Specific Mortality. Cancer Epidemiology Biomarkers & Prevention. 20(9). 1928–1936. 55 indexed citations
19.
Zhang, Liguo, Chunyu Wang, Rui Yang, et al.. (2008). Real-time quantitative RT-PCR assay of prostate-specific antigen and prostate-specific membrane antigen in peripheral blood for detection of prostate cancer micrometastasis. Urologic Oncology Seminars and Original Investigations. 26(6). 634–640. 27 indexed citations
20.
Deng, Han‐Xiang, Heng Jiang, Rong Fu, et al.. (2008). Molecular dissection of ALS-associated toxicity of SOD1 in transgenic mice using an exon-fusion approach. Human Molecular Genetics. 18(3). 594–594. 6 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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