Jinghua Wang

1.2k total citations
23 papers, 665 citations indexed

About

Jinghua Wang is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Jinghua Wang has authored 23 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Pathology and Forensic Medicine and 6 papers in Oncology. Recurrent topics in Jinghua Wang's work include Lymphoma Diagnosis and Treatment (4 papers), Epigenetics and DNA Methylation (3 papers) and Viral-associated cancers and disorders (3 papers). Jinghua Wang is often cited by papers focused on Lymphoma Diagnosis and Treatment (4 papers), Epigenetics and DNA Methylation (3 papers) and Viral-associated cancers and disorders (3 papers). Jinghua Wang collaborates with scholars based in China, South Korea and United States. Jinghua Wang's co-authors include Longbang Chen, Rui Wang, Haizhu Song, Yun Zheng, Guichun Huang, Youwei Zhang, Jun Yi, Xiaoyuan Chu, Yong Lin and Lijun Xue and has published in prestigious journals such as Clinical Cancer Research, Biochemical and Biophysical Research Communications and Cancer Letters.

In The Last Decade

Jinghua Wang

21 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinghua Wang China 12 405 228 207 157 104 23 665
Eva Pros Spain 14 372 0.9× 159 0.7× 116 0.6× 84 0.5× 63 0.6× 19 619
Elke Hiendlmeyer Germany 7 445 1.1× 318 1.4× 117 0.6× 136 0.9× 44 0.4× 7 672
Julie Godet France 16 253 0.6× 196 0.9× 86 0.4× 163 1.0× 57 0.5× 26 563
Shailaja Uttamsingh United States 11 418 1.0× 291 1.3× 76 0.4× 97 0.6× 40 0.4× 18 622
Devipriya Sankarasharma United States 6 521 1.3× 165 0.7× 62 0.3× 265 1.7× 117 1.1× 7 706
Claire Villalva France 15 246 0.6× 289 1.3× 153 0.7× 164 1.0× 48 0.5× 20 601
Martial Caly France 14 263 0.6× 268 1.2× 76 0.4× 241 1.5× 56 0.5× 26 597
Silvana Di Giandomenico United States 10 537 1.3× 263 1.2× 66 0.3× 184 1.2× 110 1.1× 16 865
Francesca Merchionne Italy 13 362 0.9× 251 1.1× 70 0.3× 125 0.8× 84 0.8× 21 670
Marco Losa Switzerland 11 334 0.8× 456 2.0× 146 0.7× 154 1.0× 48 0.5× 20 812

Countries citing papers authored by Jinghua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jinghua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinghua Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinghua Wang. A scholar is included among the top collaborators of Jinghua Wang 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 Jinghua Wang. Jinghua Wang 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.
Lee, Kyung Jae, Hojun Kim, & Jinghua Wang. (2025). Clinical evidence linking osteoporosis and the gut microbiome in postmenopausal females: A systematic review. Bone. 201. 117644–117644. 1 indexed citations
2.
Wang, Jinghua & Ning Mao. (2019). Mercantile culture and corporate innovation: evidence from China. Applied Economics Letters. 26(17). 1393–1401. 6 indexed citations
3.
Liu, Chuanliang, Jing Jia, Yun Zhang, et al.. (2017). Regulator of G protein signaling 5 (RGS5) inhibits sonic hedgehog function in mouse cortical neurons. Molecular and Cellular Neuroscience. 83. 65–73. 5 indexed citations
4.
Sun, Qian, et al.. (2014). Both c-Myc and Ki-67 expression are predictive markers in patients with Extranodal NK/T-cell lymphoma, nasal type: A retrospective study in China. Pathology - Research and Practice. 210(6). 351–356. 29 indexed citations
5.
Wang, Jinghua, et al.. (2012). Both FOXP1 and p65 expression are adverse risk factors in diffuse large B-cell lymphoma: A retrospective study in China. Acta Histochemica. 115(2). 137–143. 9 indexed citations
6.
Chu, Xiaoyuan, Ziman Zhu, Longbang Chen, et al.. (2012). FOXM1 expression correlates with tumor invasion and a poor prognosis of colorectal cancer. Acta Histochemica. 114(8). 755–762. 79 indexed citations
7.
Chen, Longbang, et al.. (2011). Overexpression of survivin is correlated with increased invasion and metastasis of colorectal cancer. Journal of Surgical Oncology. 105(6). 520–528. 49 indexed citations
8.
Zhang, Youwei, Rui Wang, Haizhu Song, et al.. (2011). Methylation of multiple genes as a candidate biomarker in non-small cell lung cancer. Cancer Letters. 303(1). 21–28. 179 indexed citations
9.
Guan, Xiaoxiang, Lili Du, Longbang Chen, Yitian Chen, & Jinghua Wang. (2010). Variation of gene expression profile linked to p27 Kip1 Ser10 phosphorylation status in MCF-7 cell line. Biomedicine & Pharmacotherapy. 65(8). 537–541. 2 indexed citations
10.
Wang, Jinghua. (2010). Relationship between RGS5 expression and differentiation and angiogenesis of gastric carcinoma. World Journal of Gastroenterology. 16(44). 5642–5642. 25 indexed citations
11.
Wang, Jinghua, et al.. (2010). Expression and correlation of Ezrin and survivin in non-small cell lung cancer. The Chinese-German Journal of Clinical Oncology. 9(7). 381–384. 1 indexed citations
12.
Wang, Rui, et al.. (2009). Overexpression of eukaryotic initiation factor 4E (eIF4E) and its clinical significance in lung adenocarcinoma. Lung Cancer. 66(2). 237–244. 44 indexed citations
13.
Wang, Rui, et al.. (2009). Expression of STK15 mRNA in hepatocellular carcinoma and its prognostic significance. Clinical Biochemistry. 42(7-8). 641–647. 22 indexed citations
14.
Geng, Jian, et al.. (2009). XRCC1 Genetic Polymorphism Arg399Gln and Prostate Cancer Risk: A Meta-analysis. Urology. 74(3). 648–653. 33 indexed citations
15.
Guan, Xiaoxiang, Longbang Chen, & Jinghua Wang. (2007). Protein profiling: A possible molecular mechanism to mislocalization and down-expression of p27Kip1 in tumor cells. Medical Hypotheses. 69(3). 580–583. 5 indexed citations
16.
Wang, Jinghua, Chang‐Gue Son, Jang‐Woo Shin, et al.. (2006). Study on Traditional Chinese Medicine against Liver Cancer. 15(2). 159–169.
17.
Guan, Xiaoxiang, Longbang Chen, Jinghua Wang, et al.. (2006). Mutations of phosphorylation sites Ser10 and Thr187 of p27Kip1 abolish cytoplasmic redistribution but do not abrogate G0/1 phase arrest in the HepG2 cell line. Biochemical and Biophysical Research Communications. 347(3). 601–607. 11 indexed citations
18.
Wang, Jinghua, Longbang Chen, Wenbin Huang, et al.. (2005). [Expressions of survivin and caspase-3 in human non-small cell lung cancer and their relationship with cell apoptosis].. PubMed. 8(5). 435–9. 1 indexed citations
19.
Wang, Jinghua, et al.. (2003). [Study on expression of Ki-67, early apoptotic protein M30 in endometrial carcinoma and their correlation with prognosis].. PubMed. 32(4). 314–8. 16 indexed citations
20.
Roy, Sabita, et al.. (2003). Morphine inhibits VEGF expression in myocardial ischemia. Surgery. 134(2). 336–344. 30 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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