Qianlu Jin

633 total citations
10 papers, 492 citations indexed

About

Qianlu Jin is a scholar working on Physiology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Qianlu Jin has authored 10 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Qianlu Jin's work include Metabolomics and Mass Spectrometry Studies (3 papers), Diet and metabolism studies (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Qianlu Jin is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Diet and metabolism studies (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Qianlu Jin collaborates with scholars based in China, United States and Belgium. Qianlu Jin's co-authors include Huaixing Li, Xingwang Ye, Xu Lin, Frank B. Hu, Geng Zong, Ling Lu, Yiwei Ma, Pang Yao, Feijie Wang and Qi Sun and has published in prestigious journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Qianlu Jin

10 papers receiving 482 citations

Peers

Countries citing papers authored by Qianlu Jin

Since Specialization

Citations

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

Fields of papers citing papers by Qianlu Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qianlu Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Qianlu Jin. A scholar is included among the top collaborators of Qianlu Jin 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 Qianlu Jin. Qianlu Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Changes in Plasma Metabolome Profiles Following Oral Glucose Challenge among Adult Chinese 2021 ·Nutrients ·Shaofeng Huo, Liang Sun, Geng Zong, Xia Shen, He Zheng, Qianlu Jin, Huaixing Li, Huiyong Yin, Xu Lin	8
2	Genetic susceptibility, dietary cholesterol intake, and plasma cholesterol levels in a Chinese population 2020 ·Journal of Lipid Research ·Shaofeng Huo, Liang Sun, Geng Zong, (unknown), He Zheng, Qianlu Jin, Huaixing Li, Lin Xu	3
3	Erythrocyte PUFAs, circulating acylcarnitines, and metabolic syndrome risk: a prospective study in Chinese 2018 ·Journal of Lipid Research ·Yiwei Ma, Liang Sun, Jun Li, Yao Hu, Zhenji Gan, Geng Zong, He Zheng, Qianlu Jin, Huaixing Li, Frank B. Hu, Rong Zeng, Qi Sun, Xu Lin	12
4	Effects of Genetic and Nongenetic Factors on Total and Bioavailable 25(OH)D Responses to Vitamin D Supplementation 2016 ·The Journal of Clinical Endocrinology & Metabolism ·Pang Yao, Liang Sun, Ling Lu, Hong Ding, Xiafei Chen, Lixin Tang, (unknown), Gang Liu, Yao Hu, Yiwei Ma, Feijie Wang, Qianlu Jin, Zheng He, Huiyong Yin, Rong Zeng, Yan Chen, Frank B. Hu, Huaixing Li, Xu Lin	59
5	Early Prediction of Developing Type 2 Diabetes by Plasma Acylcarnitines: A Population-Based Study 2016 ·Diabetes Care ·Liang Sun, Liming Liang, Xianfu Gao, Huiping Zhang, Pang Yao, Yao Hu, Yiwei Ma, Feijie Wang, Qianlu Jin, Huaixing Li, (unknown), Yong Liu, Frank B. Hu, Rong Zeng, Xu Lin, Jiarui Wu	130
6	Lipopolysaccharide binding protein, obesity status and incidence of metabolic syndrome: a prospective study among middle-aged and older Chinese 2014 ·Diabetologia ·Xin Liu, Ling Lu, Pang Yao, Yiwei Ma, Feijie Wang, Qianlu Jin, Xingwang Ye, Huaixing Li, Frank B. Hu, Liang Sun, Xu Lin	55
7	Poor Vitamin D Status Is Prospectively Associated with Greater Muscle Mass Loss in Middle-Aged and Elderly Chinese Individuals 2014 ·Journal of the Academy of Nutrition and Dietetics ·Gang Liu, Ling Lu, Qi Sun, Xingwang Ye, Liang Sun, Xin Liu, Geng Zong, Qianlu Jin, Huaixing Li, Lin Xu	24
8	Associations of erythrocyte fatty acids in the de novo lipogenesis pathway with risk of metabolic syndrome in a cohort study of middle-aged and older Chinese 2013 ·American Journal of Clinical Nutrition ·Geng Zong, Jingwen Zhu, (unknown), Xingwang Ye, Ling Lu, Qianlu Jin, Zheng He, Zhijie Yu, Zhenni Zhu, Huaixing Li, Qi Sun, Lin Xu	73
9	Elevated Plasma Ferritin Is Associated with Increased Incidence of Type 2 Diabetes in Middle-Aged and Elderly Chinese Adults 2013 ·Journal of Nutrition ·(unknown), Geng Zong, An Pan, Xingwang Ye, Huaixing Li, Zhijie Yu, (unknown), Shurong Zou, Danxia Yu, Qianlu Jin, Frank B. Hu, Lin Xu	63
10	Dairy Consumption, Type 2 Diabetes, and Changes in Cardiometabolic Traits: A Prospective Cohort Study of Middle-Aged and Older Chinese in Beijing and Shanghai 2013 ·Diabetes Care ·Geng Zong, Qi Sun, Danxia Yu, Jingwen Zhu, Liang Sun, Xingwang Ye, Huaixing Li, Qianlu Jin, He Zheng, Frank B. Hu, Xu Lin	65

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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