Meng‐Hsing Wu

4.2k total citations
106 papers, 3.2k citations indexed

About

Meng‐Hsing Wu is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Immunology. According to data from OpenAlex, Meng‐Hsing Wu has authored 106 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Reproductive Medicine, 47 papers in Obstetrics and Gynecology and 26 papers in Immunology. Recurrent topics in Meng‐Hsing Wu's work include Endometriosis Research and Treatment (55 papers), Uterine Myomas and Treatments (27 papers) and Reproductive System and Pregnancy (22 papers). Meng‐Hsing Wu is often cited by papers focused on Endometriosis Research and Treatment (55 papers), Uterine Myomas and Treatments (27 papers) and Reproductive System and Pregnancy (22 papers). Meng‐Hsing Wu collaborates with scholars based in Taiwan, United States and Indonesia. Meng‐Hsing Wu's co-authors include Shaw‐Jenq Tsai, Kuei‐Yang Hsiao, Pei‐Chin Chuang, Shih‐Chieh Lin, Chao‐Chin Hsu, Ko-En Huang, Yutaka Shoji, Hsien‐An Pan, Hsiu‐Mei Chen and H. Sunny Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Meng‐Hsing Wu

105 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng‐Hsing Wu Taiwan 34 2.0k 1.4k 1.2k 548 412 106 3.2k
Dan I. Lebovic United States 29 2.8k 1.4× 2.0k 1.5× 1.6k 1.3× 489 0.9× 484 1.2× 66 3.6k
Umit A. Kayisli United States 40 1.7k 0.8× 1.9k 1.4× 2.2k 1.8× 893 1.6× 965 2.3× 141 4.5k
Haengseok Song South Korea 29 1.3k 0.7× 629 0.5× 1.7k 1.4× 989 1.8× 897 2.2× 102 3.5k
Lusine Aghajanova United States 30 2.1k 1.1× 1.3k 0.9× 1.7k 1.4× 418 0.8× 657 1.6× 83 3.1k
Amy E. Hamilton United States 18 1.8k 0.9× 1.1k 0.8× 1.9k 1.5× 388 0.7× 434 1.1× 25 2.7k
SiHyun Cho South Korea 30 1.4k 0.7× 995 0.7× 660 0.5× 362 0.7× 416 1.0× 148 2.6k
Romana A. Nowak United States 33 1.3k 0.7× 1.4k 1.0× 634 0.5× 925 1.7× 243 0.6× 123 3.2k
Anneli Stavreus‐Evers Sweden 32 1.6k 0.8× 694 0.5× 1.3k 1.1× 711 1.3× 1.0k 2.5× 89 3.3k
Masanori Ono Japan 27 1.3k 0.7× 1.2k 0.9× 795 0.6× 533 1.0× 304 0.7× 124 2.6k
Hakan Çakmak United States 27 1.8k 0.9× 851 0.6× 815 0.7× 472 0.9× 960 2.3× 69 2.5k

Countries citing papers authored by Meng‐Hsing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Meng‐Hsing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng‐Hsing Wu. 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 Meng‐Hsing Wu. The network helps show where Meng‐Hsing Wu may publish in the future.

Co-authorship network of co-authors of Meng‐Hsing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Meng‐Hsing Wu. A scholar is included among the top collaborators of Meng‐Hsing Wu 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 Meng‐Hsing Wu. Meng‐Hsing Wu 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.
2.
Ying, Tsung‐Ho, Chia‐Jung Hsieh, Pei‐Ju Wu, et al.. (2023). Potential Factors Associated with the Blood Metal Concentrations of Reproductive-Age Women in Taiwan. Exposure and Health. 16(1). 71–86. 2 indexed citations
3.
Chen, Chung‐Hwan, et al.. (2023). Polymorphisms within the Tumor Necrosis Factor-Alpha Gene Is Associated with Preeclampsia in Taiwanese Han Populations. Biomedicines. 11(3). 862–862. 6 indexed citations
4.
Lin, Kuan‐Yin, et al.. (2023). Factors associated with utilization of physical therapy services during pregnancy and after childbirth. Heliyon. 9(2). e13247–e13247. 2 indexed citations
5.
Wu, Meng‐Hsing, et al.. (2020). HYPOXIA AND REPRODUCTIVE HEALTH: The role of hypoxia in the development and progression of endometriosis. Reproduction. 161(1). F19–F31. 34 indexed citations
6.
Wu, Meng‐Hsing, et al.. (2020). Quality of life among infertile women with endometriosis undergoing IVF treatment and their pregnancy outcomes. Journal of Psychosomatic Obstetrics & Gynecology. 42(1). 57–66. 13 indexed citations
7.
Hsiao, Kuei‐Yang, Chu-An Wang, Ning Chang, et al.. (2020). Extracellular vesicle-associated VEGF-C promotes lymphangiogenesis and immune cells infiltration in endometriosis. Proceedings of the National Academy of Sciences. 117(41). 25859–25868. 51 indexed citations
8.
Hsiao, Kuei‐Yang, et al.. (2018). Suppression of COUP-TFII upregulates angiogenin and promotes angiogenesis in endometriosis. Human Reproduction. 33(8). 1517–1527. 21 indexed citations
9.
Hsiao, Kuei‐Yang, Meng‐Hsing Wu, & Shaw‐Jenq Tsai. (2017). Epigenetic regulation of the pathological process in endometriosis. Reproductive Medicine and Biology. 16(4). 314–319. 54 indexed citations
10.
Hsiao, Kuei‐Yang, Ning Chang, Jia‐Ling Tsai, et al.. (2017). Hypoxia‐inhibited DUSP2 expression promotes IL‐6/STAT3 signaling in endometriosis. American Journal of Reproductive Immunology. 78(4). 27 indexed citations
11.
Wu, Meng‐Hsing, Kuei‐Yang Hsiao, & Shaw‐Jenq Tsai. (2015). Endometriosis and possible inflammation markers. Gynecology and Minimally Invasive Therapy. 4(3). 61–67. 53 indexed citations
12.
Kang, Lin, Chung‐Hwan Chen, Meng‐Hsing Wu, et al.. (2014). 17β-Estradiol protects against glucosamine-induced pancreatic β-cell dysfunction. Menopause The Journal of The North American Menopause Society. 21(11). 1239–1248. 15 indexed citations
13.
Wu, Meng‐Hsing, et al.. (2014). Prenatal ultrasonography and postnatal follow-up of a case of McKusick-Kaufman syndrome. Taiwanese Journal of Obstetrics and Gynecology. 53(2). 241–244. 3 indexed citations
14.
Wu, Meng‐Hsing, et al.. (2013). Hysteroscopic intervention in septate uterus and intrauterine synechiae. Gynecology and Minimally Invasive Therapy. 2(1). 34–37. 2 indexed citations
15.
Wu, Meng‐Hsing, et al.. (2010). Prostaglandin E 2 : the master of endometriosis?. Experimental Biology and Medicine. 235(6). 668–677. 113 indexed citations
16.
Wu, Meng‐Hsing, Wen‐Fang Chiang, Chien-Lung Hsu, et al.. (2008). Galectin-1, a novel ligand of neuropilin-1, activates VEGFR-2 signaling and modulates the migration of vascular endothelial cells. Oncogene. 27(26). 3746–3753. 180 indexed citations
17.
Wu, Meng‐Hsing, Hsien‐An Pan, & Fong‐Ming Chang. (2007). Three-dimensional and Power Doppler Ultrasonography in Infertility and Reproductive Endocrinology. Taiwanese Journal of Obstetrics and Gynecology. 46(3). 209–214. 12 indexed citations
18.
Wu, Meng‐Hsing, Yutaka Shoji, Pei‐Chin Chuang, & Shaw‐Jenq Tsai. (2007). Endometriosis: disease pathophysiology and the role of prostaglandins. Expert Reviews in Molecular Medicine. 9(2). 1–20. 90 indexed citations
19.
Tsai, Shaw‐Jenq, et al.. (2002). Fibroblast Growth Factor-9 Is an Endometrial Stromal Growth Factor. Endocrinology. 143(7). 2715–2721. 94 indexed citations
20.
Wu, Meng‐Hsing, Pao‐Lin Kuo, & Shio‐Jean Lin. (1995). Prenatal diagnosis of recurrence of short rib‐polydactyly syndrome. American Journal of Medical Genetics. 55(3). 279–284. 14 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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