Liming Cong

1.1k total citations
43 papers, 711 citations indexed

About

Liming Cong is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Liming Cong has authored 43 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 11 papers in Pediatrics, Perinatology and Child Health and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Liming Cong's work include Genetic Associations and Epidemiology (10 papers), Birth, Development, and Health (10 papers) and Obesity, Physical Activity, Diet (8 papers). Liming Cong is often cited by papers focused on Genetic Associations and Epidemiology (10 papers), Birth, Development, and Health (10 papers) and Obesity, Physical Activity, Diet (8 papers). Liming Cong collaborates with scholars based in China, United States and Japan. Liming Cong's co-authors include Qiaoqin Ma, Guozhang Xu, Masako Ono‐Kihara, Masahiro Kihara, Saman Zamani, Shahrzad Mortazavi Ravari, Xiaohong Pan, Dandan Zhang, Wenjing Gao and Liming Li and has published in prestigious journals such as The Lancet, PLoS ONE and Diabetes.

In The Last Decade

Liming Cong

42 papers receiving 680 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liming Cong China 15 262 156 147 135 122 43 711
Carla Williams United States 16 171 0.7× 125 0.8× 139 0.9× 111 0.8× 85 0.7× 42 876
Steven Ndugwa Kabwama Uganda 14 132 0.5× 140 0.9× 106 0.7× 68 0.5× 122 1.0× 49 605
Isabelle Ribeiro Barbosa Brazil 18 262 1.0× 92 0.6× 301 2.0× 81 0.6× 162 1.3× 125 1.1k
Joseph W. Jackson United States 13 174 0.7× 96 0.6× 90 0.6× 117 0.9× 184 1.5× 30 1.1k
Sadie P. Hutson United States 13 146 0.6× 90 0.6× 102 0.7× 117 0.9× 79 0.6× 45 521
Nicole Alexander United States 8 241 0.9× 57 0.4× 64 0.4× 261 1.9× 152 1.2× 20 585
Regina Paiva Daumas Brazil 15 174 0.7× 205 1.3× 364 2.5× 68 0.5× 175 1.4× 33 829
Ryoko Sato United States 16 156 0.6× 74 0.5× 67 0.5× 67 0.5× 98 0.8× 100 897
Lori Leonard United States 18 253 1.0× 266 1.7× 172 1.2× 185 1.4× 181 1.5× 46 819
Relana Pinkerton United States 10 90 0.3× 167 1.1× 38 0.3× 134 1.0× 73 0.6× 11 695

Countries citing papers authored by Liming Cong

Since Specialization
Citations

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

Fields of papers citing papers by Liming Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liming Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Liming Cong. A scholar is included among the top collaborators of Liming Cong 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 Liming Cong. Liming Cong 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.
Gao, Wenjing, Biqi Wang, Weihua Cao, et al.. (2022). Exploring the Genetic Association between Obesity and Serum Lipid Levels Using Bivariate Methods. Twin Research and Human Genetics. 25(6). 234–244. 2 indexed citations
2.
Lü, Chen, Jiahui Si, Weihua Cao, et al.. (2022). Temporal associations between leukocytes DNA methylation and blood lipids: a longitudinal study. Clinical Epigenetics. 14(1). 132–132. 7 indexed citations
3.
Gao, Wenjing, Sara Hägg, Weihua Cao, et al.. (2021). Genome-wide associations between alcohol consumption and blood DNA methylation: evidence from twin study. Epigenomics. 13(12). 939–951. 7 indexed citations
4.
5.
Liao, Chunxiao, Wenjing Gao, Jun Lv, et al.. (2017). Associations Between Obesity Indicators and Blood Pressure in Chinese Adult Twins. Twin Research and Human Genetics. 20(1). 28–35. 4 indexed citations
6.
Yu, Canqing, Biqi Wang, Weihua Cao, et al.. (2016). [Influences of genetic and environmental factors on smoking related behaviors among male twin adults in China].. PubMed. 37(5). 618–23. 1 indexed citations
7.
Liu, Qingqing, Canqing Yu, Wenjing Gao, et al.. (2016). [A co-twin control study on birth weight, overweight and obesity among children younger than 18 years old in China].. PubMed. 37(4). 464–8. 1 indexed citations
8.
Yang, Wenhui, Liming Cong, Na Li, et al.. (2016). Inhalation Study of Mycobacteriophage D29 Aerosol for Mice by Endotracheal Route and Nose-Only Exposure. Journal of Aerosol Medicine and Pulmonary Drug Delivery. 29(5). 393–405. 36 indexed citations
9.
Liu, Qingqing, Canqing Yu, Wenjing Gao, et al.. (2015). [Change trend of birth weight of twins in China, 1995-2012].. PubMed. 36(2). 115–8. 5 indexed citations
10.
Zhou, Bin, Liming Li, J Lyu, et al.. (2015). [Heritability of body mass index on Chinese adult twins from nine provinces/cities in China].. PubMed. 36(4). 299–303. 1 indexed citations
11.
Gao, Wenjing, Bin Zhou, Weihua Cao, et al.. (2015). Utilizing the Resource of Twins Reared Apart: Their Distribution Across Nine Provinces or Cities of China. Twin Research and Human Genetics. 18(2). 210–216. 2 indexed citations
12.
Liao, Chunxiao, Wenjing Gao, Jun Lv, et al.. (2015). Associations of Body Composition Measurements with Serum Lipid, Glucose and Insulin Profile: A Chinese Twin Study. PLoS ONE. 10(11). e0140595–e0140595. 22 indexed citations
13.
Zhou, Bin, Wenjing Gao, Jun Lv, et al.. (2015). Genetic and Environmental Influences on Obesity-Related Phenotypes in Chinese Twins Reared Apart and Together. Behavior Genetics. 45(4). 427–437. 12 indexed citations
14.
Wang, Biqi, Wenjing Gao, Canqing Yu, et al.. (2015). Determination of Zygosity in Adult Chinese Twins Using the 450K Methylation Array versus Questionnaire Data. PLoS ONE. 10(4). e0123992–e0123992. 24 indexed citations
15.
Liu, Qingqing, Canqing Yu, Wenjing Gao, et al.. (2015). Genetic and Environmental Effects on Weight, Height, and BMI Under 18 Years in a Chinese Population-Based Twin Sample. Twin Research and Human Genetics. 18(5). 571–580. 15 indexed citations
16.
Ye, Zhen, Liming Cong, Gangqiang Ding, et al.. (2014). Optimal Cut-Off Points for Two-Step Strategy in Screening of Undiagnosed Diabetes: A Population-Based Study in China. PLoS ONE. 9(3). e87690–e87690. 8 indexed citations
17.
Xiao, Yuanyuan, Naiqing Zhao, Hao Wang, et al.. (2013). Association between socioeconomic status and obesity in a Chinese adult population. BMC Public Health. 13(1). 355–355. 59 indexed citations
18.
Ye, Zhen, Liming Cong, Gangqiang Ding, et al.. (2011). A survey of the prevalence of diabetes mellitus in adults of Zhejiang province. Zhonghua neifenmi daixie zazhi. 27(12). 988–991. 4 indexed citations
19.
Cong, Liming, et al.. (2010). Behavioral interventions to prevent STD, AIDS and pregnancy among university students in Zhejiang, China.. 11(5). 446–449. 1 indexed citations
20.
Pan, Xiaohong, et al.. (2006). [Perception on AIDS infection risk and condom use among 2785 college students having had sexual experience in Zhejiang province].. PubMed. 27(6). 499–502. 6 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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