Meng-Jen Li

604 total citations
9 papers, 489 citations indexed

About

Meng-Jen Li is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Molecular Biology. According to data from OpenAlex, Meng-Jen Li has authored 9 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 6 papers in Obstetrics and Gynecology and 3 papers in Molecular Biology. Recurrent topics in Meng-Jen Li's work include Pregnancy and preeclampsia studies (6 papers), Birth, Development, and Health (5 papers) and Epigenetics and DNA Methylation (3 papers). Meng-Jen Li is often cited by papers focused on Pregnancy and preeclampsia studies (6 papers), Birth, Development, and Health (5 papers) and Epigenetics and DNA Methylation (3 papers). Meng-Jen Li collaborates with scholars based in Taiwan. Meng-Jen Li's co-authors include Tai‐Ho Hung, T’sang‐T’ang Hsieh, Szu‐Fu Chen, Yi-Lin Yeh, Liang‐Ming Lo, Tsung‐Hong Chiu, Chung‐Pu Wu, Ching-Chang Hsieh and Hong‐Yuan Hsu and has published in prestigious journals such as PLoS ONE, Placenta and Reproductive Toxicology.

In The Last Decade

Meng-Jen Li

9 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meng-Jen Li Taiwan	8	286	237	100	76	58	9	489
Yi-Lin Yeh Taiwan	9	314 1.1×	252 1.1×	104 1.0×	80 1.1×	61 1.1×	11	511
Priyadarshini Pantham United States	11	549 1.9×	366 1.5×	129 1.3×	67 0.9×	93 1.6×	16	761
Isabella C. McMillen Australia	7	282 1.0×	434 1.8×	112 1.1×	36 0.5×	78 1.3×	8	590
Yinping Huang China	14	241 0.8×	170 0.7×	87 0.9×	30 0.4×	50 0.9×	26	480
Gaia Maria Anelli Italy	16	433 1.5×	388 1.6×	161 1.6×	34 0.4×	146 2.5×	38	788
Romina Higa Argentina	18	414 1.4×	358 1.5×	249 2.5×	48 0.6×	36 0.6×	40	690
Georgia Papacleovoulou United Kingdom	17	138 0.5×	124 0.5×	97 1.0×	114 1.5×	168 2.9×	24	621
Surab Vadachkoria United States	12	553 1.9×	338 1.4×	133 1.3×	165 2.2×	62 1.1×	16	759
Maren Pflüger Germany	11	129 0.5×	121 0.5×	63 0.6×	74 1.0×	68 1.2×	20	682
Laura C. Kusinski United Kingdom	13	350 1.2×	384 1.6×	120 1.2×	23 0.3×	60 1.0×	31	557

Countries citing papers authored by Meng-Jen Li

Since Specialization

Citations

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

Fields of papers citing papers by Meng-Jen Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng-Jen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Meng-Jen Li. A scholar is included among the top collaborators of Meng-Jen Li 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-Jen Li. Meng-Jen Li 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

Hung, Tai‐Ho, Szu‐Fu Chen, Chung‐Pu Wu, et al.. (2017). Micronized progesterone pretreatment affects the inflammatory response of human gestational tissues and the cervix to lipopolysaccharide stimulation. Placenta. 57. 1–8. 6 indexed citations

Hung, Tai‐Ho, T’sang‐T’ang Hsieh, Chung‐Pu Wu, et al.. (2017). Mammalian target of rapamycin signaling is a mechanistic link between increased endoplasmic reticulum stress and autophagy in the placentas of pregnancies complicated by growth restriction. Placenta. 60. 9–20. 32 indexed citations

Hung, Tai‐Ho, T’sang‐T’ang Hsieh, Szu‐Fu Chen, Meng-Jen Li, & Yi-Lin Yeh. (2013). Autophagy in the Human Placenta throughout Gestation. PLoS ONE. 8(12). e83475–e83475. 82 indexed citations

Hung, Tai‐Ho, Szu‐Fu Chen, Liang‐Ming Lo, et al.. (2012). Increased Autophagy in Placentas of Intrauterine Growth-Restricted Pregnancies. PLoS ONE. 7(7). e40957–e40957. 105 indexed citations

Hsieh, T’sang‐T’ang, Szu‐Fu Chen, Liang‐Ming Lo, et al.. (2012). The Association Between Maternal Oxidative Stress at Mid-Gestation and Subsequent Pregnancy Complications. Reproductive Sciences. 19(5). 505–512. 72 indexed citations

Hung, Tai‐Ho, et al.. (2010). The associations between labor and delivery mode and maternal and placental oxidative stress. Reproductive Toxicology. 31(2). 144–150. 43 indexed citations

Hung, Tai‐Ho, Liang‐Ming Lo, Tsung‐Hong Chiu, et al.. (2010). A Longitudinal Study of Oxidative Stress and Antioxidant Status in Women With Uncomplicated Pregnancies Throughout Gestation. Reproductive Sciences. 17(4). 401–409. 98 indexed citations

Hung, Tai‐Ho, Szu‐Fu Chen, Meng-Jen Li, Yi-Lin Yeh, & T’sang‐T’ang Hsieh. (2010). Differential Effects of Concomitant Use of Vitamins C and E on Trophoblast Apoptosis and Autophagy between Normoxia and Hypoxia-Reoxygenation. PLoS ONE. 5(8). e12202–e12202. 36 indexed citations

Hung, Tai‐Ho, Szu‐Fu Chen, Ching-Chang Hsieh, et al.. (2008). Tumor Necrosis Factor—α Converting Enzyme in the Human Placenta Throughout Gestation. Reproductive Sciences. 15(2). 195–209. 15 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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