Li-Fang Hou

535 total citations
9 papers, 437 citations indexed

About

Li-Fang Hou is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Li-Fang Hou has authored 9 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Cancer Research and 2 papers in Molecular Biology. Recurrent topics in Li-Fang Hou's work include Cancer-related Molecular Pathways (3 papers), Hepatitis B Virus Studies (2 papers) and Asthma and respiratory diseases (2 papers). Li-Fang Hou is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Hepatitis B Virus Studies (2 papers) and Asthma and respiratory diseases (2 papers). Li-Fang Hou collaborates with scholars based in United States, China and Canada. Li-Fang Hou's co-authors include Ida Martinelli, Paolo Grillo, Andrea Baccarelli, Pier Mannuccio Mannucci, Antonella Zanobetti, Joel Schwartz, Pier Alberto Bertazzi, Zhong-Zheng Zhu, Guanshan Zhu and Jianjun Huang and has published in prestigious journals such as Scientific Reports, Cancer Letters and Cancer Epidemiology Biomarkers & Prevention.

In The Last Decade

Li-Fang Hou

9 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Li-Fang Hou United States	9	178	116	101	70	48	9	437
Feng-Ju Song China	9	175 1.0×	77 0.7×	97 1.0×	62 0.9×	36 0.8×	10	464
Vennila Gopal United States	7	132 0.7×	136 1.2×	74 0.7×	46 0.7×	23 0.5×	16	446
Zhong-Zheng Zhu United States	9	125 0.7×	270 2.3×	102 1.0×	107 1.5×	52 1.1×	9	514
Jerry Ricks United States	11	130 0.7×	118 1.0×	44 0.4×	48 0.7×	21 0.4×	14	550
Engeng Chen China	9	134 0.8×	95 0.8×	118 1.2×	73 1.0×	19 0.4×	24	396
Helotônio Carvalho Brazil	14	118 0.7×	166 1.4×	51 0.5×	66 0.9×	17 0.4×	25	415
Travis J. Meyers United States	10	107 0.6×	195 1.7×	128 1.3×	104 1.5×	74 1.5×	22	629
Melanie Jardim United States	7	252 1.4×	380 3.3×	73 0.7×	168 2.4×	20 0.4×	7	773
Arthur Li United States	11	113 0.6×	179 1.5×	61 0.6×	127 1.8×	14 0.3×	17	423

Countries citing papers authored by Li-Fang Hou

Since Specialization

Citations

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

Fields of papers citing papers by Li-Fang Hou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li-Fang Hou. 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 Li-Fang Hou. The network helps show where Li-Fang Hou may publish in the future.

Co-authorship network of co-authors of Li-Fang Hou

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

All Works

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9 of 9 papers shown

Li, Juan, Qin Zhou, Ling Ding, et al.. (2016). Exposure to bisphenol A (BPA) in Wistar rats reduces sperm quality with disruption of ERK signal pathway. Toxicology Mechanisms and Methods. 26(3). 180–188. 42 indexed citations

Chen, Ting, et al.. (2016). Increased Fetal Thymocytes Apoptosis Contributes to Prenatal Nicotine Exposure-induced Th1/Th2 Imbalance in Male Offspring Mice. Scientific Reports. 6(1). 39013–39013. 17 indexed citations

Huang, Jianjun, Haixia Zhang, Tao Gao, et al.. (2015). The Association ofGSDMBandORMDL3Gene Polymorphisms With Asthma: A Meta-Analysis. Allergy Asthma and Immunology Research. 7(2). 175–175. 53 indexed citations

Zhang, Chuan, et al.. (2009). The Single Nucleotide Polymorphisms of Kir3.4 Gene and Their Correlation with Lone Paroxysmal Atrial Fibrillation in Chinese Han Population. Heart Lung and Circulation. 18(4). 257–261. 14 indexed citations

Baccarelli, Andrea, Ida Martinelli, Antonella Zanobetti, et al.. (2008). Exposure to Particulate Air Pollution and Risk of Deep Vein Thrombosis. Archives of Internal Medicine. 168(9). 920–920. 167 indexed citations

Zhu, Zhong-Zheng, et al.. (2008). Association of p53 codon 72 polymorphism with liver metastases of colorectal cancers positive for p53 overexpression. Journal of Zhejiang University SCIENCE B. 9(11). 847–852. 9 indexed citations

Zhu, Zhong-Zheng, et al.. (2007). Association of the TP53 Codon 72 Polymorphism with Colorectal Cancer in a Chinese Population. Japanese Journal of Clinical Oncology. 37(5). 385–390. 66 indexed citations

Huang, Wen‐Yi, Nilanjan Chatterjee, Stephen J. Chanock, et al.. (2005). Microsomal Epoxide Hydrolase Polymorphisms and Risk for Advanced Colorectal Adenoma. Cancer Epidemiology Biomarkers & Prevention. 14(1). 152–157. 36 indexed citations

Zhu, Zhong-Zheng, et al.. (2005). A p53 polymorphism modifies the risk of hepatocellular carcinoma among non-carriers but not carriers of chronic hepatitis B virus infection. Cancer Letters. 229(1). 77–83. 33 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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