Jing‐Hua Wang

6.2k total citations
160 papers, 4.9k citations indexed

About

Jing‐Hua Wang is a scholar working on Molecular Biology, Epidemiology and Pharmacology. According to data from OpenAlex, Jing‐Hua Wang has authored 160 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 34 papers in Epidemiology and 29 papers in Pharmacology. Recurrent topics in Jing‐Hua Wang's work include Gut microbiota and health (19 papers), Liver Disease Diagnosis and Treatment (19 papers) and Pharmacological Effects of Natural Compounds (15 papers). Jing‐Hua Wang is often cited by papers focused on Gut microbiota and health (19 papers), Liver Disease Diagnosis and Treatment (19 papers) and Pharmacological Effects of Natural Compounds (15 papers). Jing‐Hua Wang collaborates with scholars based in China, South Korea and United States. Jing‐Hua Wang's co-authors include Hojun Kim, Shambhunath Bose, Donghua Xu, Chang‐Gue Son, Jinghan Yang, R. Todd Constable, Maolin Qiu, Shushan Yan, Hongying Lu and Michael B. Smith and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Jing‐Hua Wang

153 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing‐Hua Wang China 39 2.0k 698 678 618 596 160 4.9k
Eun Jig Lee South Korea 50 2.9k 1.4× 851 1.2× 732 1.1× 1.1k 1.8× 856 1.4× 355 8.8k
Dong Liu China 40 2.9k 1.4× 577 0.8× 1.4k 2.0× 1.0k 1.7× 543 0.9× 297 7.0k
Pierluigi Mauri Italy 48 3.4k 1.7× 779 1.1× 572 0.8× 282 0.5× 740 1.2× 235 8.4k
Wei Zhang China 47 2.9k 1.4× 899 1.3× 829 1.2× 977 1.6× 760 1.3× 316 6.8k
Michael Gekle Germany 51 3.6k 1.8× 551 0.8× 1.2k 1.7× 313 0.5× 878 1.5× 241 8.0k
Zhong Wang China 50 2.8k 1.4× 648 0.9× 689 1.0× 1.5k 2.4× 389 0.7× 380 8.2k
Cheng Zhang China 43 2.6k 1.3× 626 0.9× 584 0.9× 741 1.2× 368 0.6× 216 6.2k
Natalie J. Serkova United States 49 3.5k 1.7× 574 0.8× 1.2k 1.7× 766 1.2× 1.0k 1.7× 171 7.7k
Stefan Chłopicki Poland 43 2.5k 1.2× 1.4k 2.0× 356 0.5× 906 1.5× 434 0.7× 353 7.4k
Chang Chen China 40 3.1k 1.5× 721 1.0× 465 0.7× 491 0.8× 407 0.7× 241 6.2k

Countries citing papers authored by Jing‐Hua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐Hua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing‐Hua Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐Hua Wang. A scholar is included among the top collaborators of Jing‐Hua 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 Jing‐Hua Wang. Jing‐Hua 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
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2.
Wang, Jing‐Hua, et al.. (2024). Lactobacillus casei ‐fermented Amomum xanthioides ameliorates metabolic dysfunction in high‐fat diet‐induced obese mice. The FASEB Journal. 38(10). e23669–e23669. 2 indexed citations
3.
Lee, Jin‐Seok, et al.. (2023). A Mixture of Cervus elaphus sibiricus and Glycine max (L.) Merrill Inhibits Ovariectomy-Induced Bone Loss Via Regulation of Osteogenic Molecules in a Mouse Model. International Journal of Molecular Sciences. 24(5). 4876–4876. 2 indexed citations
4.
Su, Boxing, Wei Zhao, Bentao Shi, et al.. (2023). Editorial Expression of Concern: Let-7d suppresses growth, metastasis, and tumor macrophage infiltration in renal cell carcinoma by targeting COL3A1 and CCL7. Molecular Cancer. 22(1). 74–74. 2 indexed citations
5.
Bose, Shambhunath, Jing‐Hua Wang, Young‐Do Nam, et al.. (2020). Chemically or surgically induced thyroid dysfunction altered gut microbiota in rat models. The FASEB Journal. 34(6). 8686–8701. 19 indexed citations
6.
Wang, Jing‐Hua, et al.. (2020). Systematic review on the prevalence of nonalcoholic fatty liver disease in South Korea. Clinics and Research in Hepatology and Gastroenterology. 45(4). 101526–101526. 56 indexed citations
7.
Li, Zhaoying, Wen Wang, Xi Wang, et al.. (2018). Functional network analysis reveals biological roles of lncRNAs and mRNAs in MOG35–55 specific CD4+T helper cells. Genomics. 110(6). 337–346. 4 indexed citations
8.
9.
Wang, Jing‐Hua, Xi-Wen Bi, Pengfei Li, et al.. (2017). Overexpression of MYC and BCL2 Predicts Poor Prognosis in Patients with Extranodal NK/T-cell Lymphoma, Nasal Type. Journal of Cancer. 8(5). 793–800. 14 indexed citations
10.
Li, Xiaoyun, et al.. (2017). Expression of Peripheral Blood miRNA-720 and miRNA-1246 Can Be Used as a Predictor for Outcome in Multiple Myeloma Patients. Clinical Lymphoma Myeloma & Leukemia. 17(7). 415–423. 18 indexed citations
11.
Xu, Ping, Yongfang Jiang, & Jing‐Hua Wang. (2015). shRNA-mediated silencing of sorcin increases drug chemosensitivity in myeloma KM3/DDP and U266/ADM cell lines.. PubMed. 8(3). 2300–10. 16 indexed citations
12.
Gao, Haiyan, Yongfang Jiang, Yinglan Jin, et al.. (2015). Suppression of HSP27 increases the anti-tumor effects of quercetin in human leukemia U937 cells. Molecular Medicine Reports. 13(1). 689–696. 50 indexed citations
13.
Son, Chang‐Gue, Zhao Xiang Bian, Jing‐Hua Wang, & Hanumantha Rao Balaji Raghavendran. (2013). Complementary and Alternative Medicine for Diseases and Disorders in Digestive Tract: Basic to Clinics. Evidence-based Complementary and Alternative Medicine. 2013. 1–2. 2 indexed citations
14.
Han, Jongmin, Hyeong-Geug Kim, Min‐Kyung Choi, et al.. (2012). Aqueous extract of Artemisia iwayomogi Kitamura attenuates cholestatic liver fibrosis in a rat model of bile duct ligation. Food and Chemical Toxicology. 50(10). 3505–3513. 34 indexed citations
15.
16.
Mu, Lili, Yao Zhang, Bo Sun, et al.. (2011). Activation of the receptor for advanced glycation end products (RAGE) exacerbates experimental autoimmune myasthenia gravis symptoms. Clinical Immunology. 141(1). 36–48. 26 indexed citations
17.
He, Qing, Jing‐Hua Wang, Yalin Liu, et al.. (2008). [Study on safety and efficacy of concentrated potassium chloride infusions in critically ill patients with hypokalemia].. PubMed. 20(7). 416–8. 1 indexed citations
18.
Shi, Lijun, et al.. (2007). [Effects of bone marrow mesenchymal stem cells on the proliferation of hepatocytes and cirrhotic fat-storing cells in vitro].. PubMed. 15(9). 681–4. 4 indexed citations
19.
Wang, Jing‐Hua, Maolin Qiu, Qing Yang, Michael B. Smith, & R. Todd Constable. (2005). Measurement and correction of transmitter and receiver induced nonuniformities in vivo. Magnetic Resonance in Medicine. 53(2). 408–417. 89 indexed citations
20.
Wang, Jing‐Hua, Richard Charboneau, Roderick A. Barke, Horace H. Loh, & Sabita Roy. (2002). μ-Opioid Receptor Mediates Chronic Restraint Stress-Induced Lymphocyte Apoptosis. The Journal of Immunology. 169(7). 3630–3636. 74 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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