Zhen Han

2.8k total citations · 1 hit paper
34 papers, 2.0k citations indexed

About

Zhen Han is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Epidemiology. According to data from OpenAlex, Zhen Han has authored 34 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pediatrics, Perinatology and Child Health, 18 papers in Obstetrics and Gynecology and 6 papers in Epidemiology. Recurrent topics in Zhen Han's work include Pregnancy and preeclampsia studies (15 papers), Birth, Development, and Health (15 papers) and Gestational Diabetes Research and Management (12 papers). Zhen Han is often cited by papers focused on Pregnancy and preeclampsia studies (15 papers), Birth, Development, and Health (15 papers) and Gestational Diabetes Research and Management (12 papers). Zhen Han collaborates with scholars based in China, Canada and Australia. Zhen Han's co-authors include Sarah D. McDonald, Joseph Beyene, Sohail Mulla, S. Mulla, Arne Ohlsson, Kellie E. Murphy, Grace Liao, Olha Lutsiv, Hertzel C. Gerstein and P.J. Devereaux and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, International Journal of Epidemiology and American Journal of Kidney Diseases.

In The Last Decade

Zhen Han

30 papers receiving 1.9k citations

Hit Papers

Overweight and obesity in mothers and risk of preterm bir... 2010 2026 2015 2020 2010 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Overweight and obesity in mothers and risk of preterm birth and low birth weight infants: systematic review and meta-analyses
    2010 471 citations Sarah D. McDonald, Zhen Han et al. BMJ profile →

Peers

Zhen Han
Alec Ekeroma New Zealand
Edwin Amalraj Raja United Kingdom
Jiangfeng Ye China
Arnon Samueloff Israel
Katherine P. Himes United States
Michael Maresh United Kingdom
Kurus Coyaji India
Beenish I. Sultan Sweden
Jane Cleary‐Goldman United States
Lisbet S. Lundsberg United States
Alec Ekeroma New Zealand
Zhen Han
Citations per year, relative to Zhen Han Zhen Han (= 1×) peers Alec Ekeroma

Countries citing papers authored by Zhen Han

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Han

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Han. A scholar is included among the top collaborators of Zhen Han 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 Zhen Han. Zhen Han 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.
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Xu, Lingyun, Yujie Tang, Ting Zhang, et al.. (2025). Association Analysis of Insulin Resistance Metabolic Score (METS‐IR) and Gestational Diabetes Mellitus: Based on National Health and Nutrition Examination Survey Database From 2007 to 2018. Endocrinology Diabetes & Metabolism. 8(4). e70062–e70062. 1 indexed citations
3.
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Jin, Lisheng, et al.. (2024). Impact of non-driving related task types, request modalities, and automation on driver takeover: A meta-analysis. Safety Science. 181. 106704–106704. 6 indexed citations
6.
Han, Zhen, et al.. (2022). Study on normal reference value of fetal facial profile markers during the first trimester of pregnancy. Translational Pediatrics. 11(1). 99–107. 1 indexed citations
7.
Li, Liangliang, Shuo Li, Yu Gao, et al.. (2021). Diet, Sports, and Psychological Stress as Modulators of Breast Cancer Risk: Focus on OPRM1 Methylation. Frontiers in Nutrition. 8. 747964–747964. 3 indexed citations
8.
Wang, Wei, Yanyan Wang, Ting Yuan, et al.. (2020). Nomogram-based prediction of pre-eclampsia in the first trimester of gestation. Pregnancy Hypertension. 21. 145–151. 5 indexed citations
9.
Yuan, Ting, et al.. (2020). Predictive value of prenatal ultrasound parameters for dichorionic growth discordant twins. BMC Pregnancy and Childbirth. 20(1). 433–433. 4 indexed citations
10.
Jarde, Alexander, Olha Lutsiv, Chul‐Kee Park, et al.. (2017). Effectiveness of progesterone, cerclage and pessary for preventing preterm birth in singleton pregnancies: a systematic review and network meta‐analysis. BJOG An International Journal of Obstetrics & Gynaecology. 124(8). 1176–1189. 35 indexed citations
11.
Dong, Xin, et al.. (2017). Proteinuria in preeclampsia: Not essential to diagnosis but related to disease severity and fetal outcomes. Pregnancy Hypertension. 8. 60–64. 56 indexed citations
12.
Yuan, Ting, Wei Wang, Xuelan Li, et al.. (2016). Clinical characteristics of fetal and neonatal outcomes in twin pregnancy with preeclampsia in a retrospective case–control study. Medicine. 95(43). e5199–e5199. 12 indexed citations
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Han, Zhen, Olha Lutsiv, Sohail Mulla, & Sarah D. McDonald. (2012). Maternal Height and the Risk of Preterm Birth and Low Birth Weight: A Systematic Review and Meta-Analyses. Journal of Obstetrics and Gynaecology Canada. 34(8). 721–746. 84 indexed citations
15.
Han, Zhen, Olha Lutsiv, Sohail Mulla, et al.. (2011). Low gestational weight gain and the risk of preterm birth and low birthweight: a systematic review and meta‐analyses. Acta Obstetricia Et Gynecologica Scandinavica. 90(9). 935–954. 133 indexed citations
16.
Han, Zhen, Sohail Mulla, Joseph Beyene, Grace Liao, & Sarah D. McDonald. (2010). Maternal underweight and the risk of preterm birth and low birth weight: a systematic review and meta-analyses. International Journal of Epidemiology. 40(1). 65–101. 362 indexed citations
17.
McDonald, Sarah, et al.. (2010). W15.5 Renal disease after preeclampsia: a systematic review and meta-analyses. Pregnancy Hypertension. 1. S41–S41. 1 indexed citations
18.
McDonald, Sarah D., et al.. (2010). Overweight and obesity in mothers and risk of preterm birth and low birth weight infants: systematic review and meta-analyses. BMJ. 341(jul20 1). c3428–c3428. 471 indexed citations breakdown →
19.
McDonald, Sarah D., Zhen Han, Michael Walsh, Hertzel C. Gerstein, & P.J. Devereaux. (2010). Kidney Disease After Preeclampsia: A Systematic Review and Meta-analysis. American Journal of Kidney Diseases. 55(6). 1026–1039. 160 indexed citations
20.
McDonald, Sarah D., Zhen Han, Sohail Mulla, et al.. (2009). Preterm birth and low birth weight among in vitro fertilization twins: A systematic review and meta-analyses. European Journal of Obstetrics & Gynecology and Reproductive Biology. 148(2). 105–113. 96 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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