Min Lv

555 total citations
31 papers, 328 citations indexed

About

Min Lv is a scholar working on Public Health, Environmental and Occupational Health, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Min Lv has authored 31 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Health, Environmental and Occupational Health, 12 papers in Obstetrics and Gynecology and 11 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Min Lv's work include Pregnancy-related medical research (11 papers), Preterm Birth and Chorioamnionitis (10 papers) and Maternal and Perinatal Health Interventions (8 papers). Min Lv is often cited by papers focused on Pregnancy-related medical research (11 papers), Preterm Birth and Chorioamnionitis (10 papers) and Maternal and Perinatal Health Interventions (8 papers). Min Lv collaborates with scholars based in China, Thailand and New Zealand. Min Lv's co-authors include Baihui Zhao, Qiong Luo, Jian Xu, Fan Jin, Dan Zhang, Jian‐Zhong Sheng, Yimin Zhu, Meng Ye, He‐Feng Huang and Xiao Hu and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Current Medicinal Chemistry and Frontiers in Physiology.

In The Last Decade

Min Lv

28 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Lv China 8 109 98 59 58 53 31 328
Mashael Marzouq AlShebly Saudi Arabia 11 37 0.3× 69 0.7× 69 1.2× 49 0.8× 97 1.8× 23 356
Xiuhui Zhong China 15 31 0.3× 53 0.5× 32 0.5× 110 1.9× 33 0.6× 37 446
Xiaoming Zhao China 14 120 1.1× 225 2.3× 63 1.1× 185 3.2× 70 1.3× 29 729
Mahin Taheri Moghadam Iran 10 45 0.4× 110 1.1× 13 0.2× 82 1.4× 55 1.0× 18 297
Haoxuan Yang China 10 53 0.5× 121 1.2× 27 0.5× 62 1.1× 40 0.8× 15 390
Eugène Jansen Netherlands 9 62 0.6× 36 0.4× 22 0.4× 127 2.2× 12 0.2× 13 402
Maria Luisa Casini Italy 11 77 0.7× 116 1.2× 212 3.6× 41 0.7× 33 0.6× 21 680
Temidayo S. Omolaoye United Arab Emirates 10 33 0.3× 71 0.7× 40 0.7× 63 1.1× 27 0.5× 25 330
Satya Narain Shankhwar India 7 37 0.3× 63 0.6× 8 0.1× 66 1.1× 81 1.5× 13 480
Timothy A. Roy United States 15 68 0.6× 46 0.5× 92 1.6× 74 1.3× 44 0.8× 31 537

Countries citing papers authored by Min Lv

Since Specialization
Citations

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

Fields of papers citing papers by Min Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Min Lv. A scholar is included among the top collaborators of Min Lv 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 Min Lv. Min Lv 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.
Liu, Meiling, et al.. (2025). Identification of potential miRNA biomarkers for neurobrucellosis diagnosis. Frontiers in Physiology. 16. 1463597–1463597.
2.
Lv, Pingping, Chun Feng, Guolian Ding, et al.. (2024). High Estradiol Environment After IVF Causes Increased Risk of Glucose Metabolic Dysfunction in Offspring. The Journal of Clinical Endocrinology & Metabolism. 110(6). 1680–1688. 1 indexed citations
3.
Fan, Wenqiang, et al.. (2024). Mental Health in Early Pregnancy and Spontaneous Abortion Risk: A Prospective Cohort Study. ALPHA PSYCHIATRY. 25(5). 648–655. 2 indexed citations
4.
Lv, Min, et al.. (2024). Longitudinal change in cervical length measured after prophylactic cerclage in predicting spontaneous preterm birth. International Journal of Gynecology & Obstetrics. 169(1). 356–364. 1 indexed citations
5.
Lv, Min, et al.. (2023). A comparative analysis of different hair matrixes and matrix reference materials for quantitative hair analysis in drug tests. Forensic Chemistry. 36. 100532–100532. 2 indexed citations
6.
Zhao, Baihui, Xiaofu Yang, Min Lv, et al.. (2023). Development and validation of models for predicting preterm birth and gestational latency following emergency cervical cerclage: A multicenter cohort study. Acta Obstetricia Et Gynecologica Scandinavica. 103(5). 917–926. 2 indexed citations
7.
Lv, Min, et al.. (2023). Development and internal validation of a clinical prediction model for spontaneous abortion risk in early pregnancy. Clinics. 79. 100318–100318. 4 indexed citations
8.
Lv, Min, et al.. (2023). Efficacy of ultrasound-indicated cerclage in twin pregnancies: a retrospective case-control study matched by cervical length. American Journal of Obstetrics & Gynecology MFM. 5(3). 100847–100847. 6 indexed citations
10.
Xu, Qing, et al.. (2023). Nontargeted screening based on EI‐MS spectra using statistical methods: An investigative study of synthetic indole/indazole cannabinoids. Rapid Communications in Mass Spectrometry. 37(13). e9524–e9524. 1 indexed citations
11.
Qiu, Liping, Min Lv, Zi Chen, et al.. (2023). Comparison of two emergency cervical cerclage techniques in twin pregnancies: A retrospective cohort study matched with cervical dilation. International Journal of Gynecology & Obstetrics. 164(3). 1036–1046.
12.
Chen, Huiqi, Minmin Wang, Liping Qiu, et al.. (2022). The association between alteration of maternal lipid levels and birthweight at term: A within-family comparison. Frontiers in Endocrinology. 13. 989663–989663. 3 indexed citations
14.
Lv, Min, et al.. (2022). A nomogram to predict extremely preterm birth in women with singleton pregnancies undergoing cervical cerclage. Heliyon. 8(10). e10731–e10731. 3 indexed citations
15.
Chen, Yuan, Min Lv, Dong Tian, et al.. (2020). Is Noninvasive Prenatal Screening Appropriate for Pregnant Women Age 35 or Older In Cases if Isolated Fetal Nasal Bone Abnormalities in The Chinese Han Population?. Medical Science Monitor. 26. e924387–e924387. 1 indexed citations
16.
Zhao, Baihui, Min Lv, Dong Tian, et al.. (2020). Transverse parallel compression suture: a new suturing method for successful treating pernicious placenta previa during cesarean section. Archives of Gynecology and Obstetrics. 301(2). 465–472. 8 indexed citations
18.
Yang, Mengmeng, et al.. (2017). Prenatal diagnosis and prognosis of isolated subependymal cysts: A retrospective cohort study. Prenatal Diagnosis. 37(13). 1322–1326. 4 indexed citations
19.
Peng, Can, et al.. (2013). Development and Validation of a Sensitive LC-MS-MS Method for the Simultaneous Determination of Multicomponent Contents in Artificial Calculus Bovis. Journal of Chromatographic Science. 52(2). 128–136. 13 indexed citations
20.
Lv, Min & Hui Xu. (2010). Dipyridodiazepinone Analogs as Human Immunodeficiency Virus Type 1- Specific Non-Nucleoside Reverse Transcriptase Inhibitors: An Overview. Current Medicinal Chemistry. 17(18). 1874–1898. 3 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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