Ling‐Jun Li

2.2k total citations
109 papers, 1.5k citations indexed

About

Ling‐Jun Li is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Ophthalmology. According to data from OpenAlex, Ling‐Jun Li has authored 109 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Pediatrics, Perinatology and Child Health, 48 papers in Obstetrics and Gynecology and 20 papers in Ophthalmology. Recurrent topics in Ling‐Jun Li's work include Birth, Development, and Health (46 papers), Pregnancy and preeclampsia studies (36 papers) and Gestational Diabetes Research and Management (29 papers). Ling‐Jun Li is often cited by papers focused on Birth, Development, and Health (46 papers), Pregnancy and preeclampsia studies (36 papers) and Gestational Diabetes Research and Management (29 papers). Ling‐Jun Li collaborates with scholars based in Singapore, United States and China. Ling‐Jun Li's co-authors include Tien Yin Wong, Izzuddin M. Aris, Marie‐France Hivert, Emily Oken, Ecosse L. Lamoureux, Sheryl L. Rifas‐Shiman, Ryan Eyn Kidd Man, Kok Hian Tan, M. Kamran Ikram and Yap Seng Chong and has published in prestigious journals such as The Lancet, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Ling‐Jun Li

97 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling‐Jun Li Singapore 23 403 388 299 297 253 109 1.5k
Juhani Tuominen Finland 26 272 0.7× 113 0.3× 62 0.2× 112 0.4× 477 1.9× 59 2.2k
Weihua Gao United States 18 119 0.3× 97 0.3× 215 0.7× 139 0.5× 109 0.4× 62 1.2k
Cheng China 17 71 0.2× 70 0.2× 23 0.1× 55 0.2× 175 0.7× 167 1.3k
Dorothy Becker United States 32 110 0.3× 143 0.4× 25 0.1× 69 0.2× 187 0.7× 79 2.7k
J C Gingell United Kingdom 25 167 0.4× 142 0.4× 33 0.1× 131 0.4× 96 0.4× 98 2.3k
Yashdeep Gupta India 23 155 0.4× 417 1.1× 16 0.1× 30 0.1× 116 0.5× 167 1.8k
C Augood United Kingdom 14 244 0.6× 233 0.6× 643 2.2× 459 1.5× 270 1.1× 17 1.5k
Davide Carvalho Portugal 30 91 0.2× 41 0.1× 49 0.2× 47 0.2× 139 0.5× 243 3.1k
Chao Chen China 22 760 1.9× 124 0.3× 27 0.1× 231 0.8× 241 1.0× 118 1.7k
Michael E. Speer United States 22 396 1.0× 109 0.3× 17 0.1× 116 0.4× 110 0.4× 54 1.3k

Countries citing papers authored by Ling‐Jun Li

Since Specialization
Citations

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

Fields of papers citing papers by Ling‐Jun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling‐Jun 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 Ling‐Jun Li. The network helps show where Ling‐Jun Li may publish in the future.

Co-authorship network of co-authors of Ling‐Jun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ling‐Jun Li. A scholar is included among the top collaborators of Ling‐Jun 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 Ling‐Jun Li. Ling‐Jun Li 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.
Tan, David S.P., et al.. (2025). Low creatinine to cystatin C ratio is associated with lower muscle volumes and poorer gait speeds in the longitudinal Integrated Women's Health Program cohort. Menopause The Journal of The North American Menopause Society. 32(6). 519–527.
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Barua, Souptik, Vanessa M. Martinez Kercher, Christina A. Penfield, et al.. (2025). A Machine Learning Framework to Quantify Postprandial Glucose Responses in Gestational Diabetes. 1(1). 12–17.
4.
Liu, Mengjiao, Elaine Soon, Katherine Lange, et al.. (2025). Maternal Smoking Intensity During Pregnancy and Early Adolescent Cardiovascular Health. Journal of the American Heart Association. 14(5). e037806–e037806. 2 indexed citations
5.
Zhu, Anlian, et al.. (2025). Chemical O‐ADP‐Ribosylations: Synthesis and Bioconjugation of ADPr‐Peptides/Proteins from NAD+. Angewandte Chemie International Edition. 64(6). e202418321–e202418321.
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Li, Ling‐Jun, et al.. (2024). An effective gradient coating strategy to improve the structure stability of Ni-rich nickel-cobalt-manganese ternary layer oxide cathode. Journal of Energy Storage. 98. 113123–113123. 11 indexed citations
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Yu, Guoqi, Ruijin Lu, Jiaxi Yang, et al.. (2024). Healthy dietary patterns are associated with exposure to environmental chemicals in a pregnancy cohort. Nature Food. 5(7). 563–568. 10 indexed citations
10.
Li, Ling‐Jun, Jerry Kok Yen Chan, Johan G. Eriksson, et al.. (2023). Preconception maternal retinal venular widening and steeper resistance increments in the utero-fetoplacental circulation in pregnancy. iScience. 26(12). 108535–108535.
11.
Yang, Jiaxi, Yiqing Song, Audrey J. Gaskins, et al.. (2023). Mediterranean diet and female reproductive health over lifespan: a systematic review and meta-analysis. American Journal of Obstetrics and Gynecology. 229(6). 617–631. 20 indexed citations
12.
Li, Ling‐Jun, Ximeng Wang, Yap Seng Chong, et al.. (2023). Exploring preconception signatures of metabolites in mothers with gestational diabetes mellitus using a non-targeted approach. BMC Medicine. 21(1). 99–99. 7 indexed citations
13.
Li, Ling‐Jun, Na Li, Yumeng Zhang, et al.. (2023). Perinatal Fat-Diets Increased Angiotensin II-Mediated Ca2+ through PKC-L-Type Calcium Channel Axis in Resistance Arteries via Agtr1a-Prkcb Gene Methylation. Nutrients. 15(1). 245–245. 1 indexed citations
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Li, Ling‐Jun, Lihua Huang, Deirdre K. Tobias, & Cuilin Zhang. (2022). Gestational Diabetes Mellitus Among Asians – A Systematic Review From a Population Health Perspective. Frontiers in Endocrinology. 13. 840331–840331. 20 indexed citations
16.
Song, Yiqing, Chen Lyu, Ming Li, et al.. (2021). Plasma Acylcarnitines during Pregnancy and Neonatal Anthropometry: A Longitudinal Study in a Multiracial Cohort. Metabolites. 11(12). 885–885. 6 indexed citations
17.
Li, Ling‐Jun, Yeyi Zhu, Jing Wu, et al.. (2021). Changes of Plasma Phospholipid Fatty Acids Profiles in Pregnancy in Relation to the Diagnosis and Treatment of Gestational Diabetes Mellitus. Clinical Chemistry. 67(12). 1660–1675. 5 indexed citations
18.
Chen, Zhangling, Frank Qian, Gang Liu, et al.. (2021). Prepregnancy plant-based diets and the risk of gestational diabetes mellitus: a prospective cohort study of 14,926 women. American Journal of Clinical Nutrition. 114(6). 1997–2005. 22 indexed citations
19.
Feng, Xueqin, Yumeng Zhang, Miao Sun, et al.. (2020). Prenatal hypoxia inhibited propionate‐evoked BK channels of mesenteric artery smooth muscle cells in offspring. Journal of Cellular and Molecular Medicine. 24(5). 3192–3202. 4 indexed citations
20.
Li, Ling‐Jun, Le Bo, Xiuwen Zhou, et al.. (2015). High-salt diets during pregnancy increases renal vascular reactivity due to altered soluble guanylyl cyclase-related pathways in rat offspring. The Journal of Nutritional Biochemistry. 28. 121–128. 4 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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