Lindan Ji

1.4k total citations
55 papers, 1.0k citations indexed

About

Lindan Ji is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Lindan Ji has authored 55 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Genetics and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Lindan Ji's work include Genetic Associations and Epidemiology (8 papers), Circadian rhythm and melatonin (7 papers) and Hormonal Regulation and Hypertension (6 papers). Lindan Ji is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Circadian rhythm and melatonin (7 papers) and Hormonal Regulation and Hypertension (6 papers). Lindan Ji collaborates with scholars based in China, Hong Kong and United States. Lindan Ji's co-authors include Jin Xu, Lihong Xu, Gaudenz Danuser, Manfred A. Jäch, Lingling Fu, Xiaoyu Zhao, Nelson L.S. Tang, Lina Zhang, Jia Su and Yuemiao Zhang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Molecular Biology and Evolution.

In The Last Decade

Lindan Ji

52 papers receiving 988 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lindan Ji China 18 263 162 149 144 131 55 1.0k
Xuan Du China 23 471 1.8× 273 1.7× 111 0.7× 160 1.1× 103 0.8× 58 1.4k
Courtney Campbell United States 18 207 0.8× 151 0.9× 198 1.3× 69 0.5× 51 0.4× 62 1.2k
Aditya Joshi United States 17 809 3.1× 236 1.5× 98 0.7× 42 0.3× 157 1.2× 49 1.6k
Xiaoyu Pan China 17 608 2.3× 56 0.3× 207 1.4× 106 0.7× 243 1.9× 44 1.2k
Xinan Wang China 20 422 1.6× 72 0.4× 113 0.8× 90 0.6× 57 0.4× 81 1.4k
João P. Monteiro Portugal 21 411 1.6× 223 1.4× 69 0.5× 49 0.3× 60 0.5× 49 1.7k
Grant W. Anderson United States 26 416 1.6× 82 0.5× 269 1.8× 607 4.2× 120 0.9× 51 1.8k
Tomas Axelsson Sweden 25 636 2.4× 347 2.1× 522 3.5× 194 1.3× 78 0.6× 69 2.0k
Tianxiao Huan United States 19 973 3.7× 144 0.9× 319 2.1× 91 0.6× 68 0.5× 62 1.6k
John N. Forrest United States 23 749 2.8× 90 0.6× 76 0.5× 107 0.7× 64 0.5× 48 1.7k

Countries citing papers authored by Lindan Ji

Since Specialization
Citations

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

Fields of papers citing papers by Lindan Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lindan Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Lindan Ji. A scholar is included among the top collaborators of Lindan Ji 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 Lindan Ji. Lindan Ji 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.
Zhu, Huijuan, Ye Li, Wen Ye, et al.. (2025). Factors influencing the birth weight of ART-conceived offspring. Journal of Assisted Reproduction and Genetics. 42(10). 3145–3166.
2.
Zhu, Hui, Hongyi Liu, Qiong Zhu, et al.. (2025). The optimal childbearing age and birth spacing in china: a multicenter retrospective cohort study. BMC Public Health. 25(1). 2983–2983.
3.
Zhu, Hui, Tao Huang, Bin Wang, et al.. (2025). Update in the molecular mechanism and biomarkers of diabetic retinopathy. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1871(5). 167758–167758. 10 indexed citations
4.
Zhu, Hui, Jin Xu, Jie Cai, et al.. (2024). Cohort Profile: The Ningbo Birth Cohort of Population Undergoing Assisted Reproductive Technology (NBart). International Journal of Epidemiology. 53(4). 1 indexed citations
5.
Zhu, Hui, et al.. (2023). The irreplaceable role of medical massive open online courses in China during the COVID-19 pandemic. BMC Medical Education. 23(1). 323–323. 4 indexed citations
6.
Liang, Weiqi, Hui Zhu, Jin Xu, et al.. (2023). Ambient air pollution and gestational diabetes mellitus: An updated systematic review and meta-analysis. Ecotoxicology and Environmental Safety. 255. 114802–114802. 32 indexed citations
7.
Zhu, Hui, Jin Xu, Jie Cai, et al.. (2023). Comprehensive landscape of the T and B-cell repertoires of newly diagnosed gestational diabetes mellitus. Genomics. 115(5). 110681–110681. 2 indexed citations
8.
Zhu, Hui, Jin Xu, Qiong Zhu, et al.. (2022). The prevalence of gestational diabetes mellitus before and after the implementation of the universal two-child policy in China. Frontiers in Endocrinology. 13. 960877–960877. 43 indexed citations
9.
Su, Jia, Qinglin Yu, Nan Zheng, et al.. (2021). The association of polymorphisms in related circadian rhythm genes and clopidogrel resistance susceptibility. Basic & Clinical Pharmacology & Toxicology. 129(3). 196–209. 2 indexed citations
10.
Fu, Lingling, Xiaoyu Zhao, Lindan Ji, & Jin Xu. (2019). Okadaic acid (OA): Toxicity, detection and detoxification. Toxicon. 160. 1–7. 78 indexed citations
11.
Luo, Lin, et al.. (2018). Microarray Analysis of Long Noncoding RNAs in Female Diabetic Peripheral Neuropathy Patients. Cellular Physiology and Biochemistry. 46(3). 1209–1217. 22 indexed citations
12.
Zhou, Mi, et al.. (2018). Cdc45/Mcm2-7/GINS complex down-regulation mediates S phase arrest in okadaic acid-induced cell damage. Toxicon. 152. 16–22. 5 indexed citations
13.
Ji, Lindan, et al.. (2017). Shared genetic etiology of hypertension and stroke: evidence from bioinformatics analysis of genome-wide association studies. Journal of Human Hypertension. 32(1). 34–39. 5 indexed citations
14.
Ji, Lindan, et al.. (2014). Polymorphisms in the CISH gene are associated with susceptibility to tuberculosis in the Chinese Han population. Infection Genetics and Evolution. 28. 240–244. 11 indexed citations
15.
Ji, Lindan, Xiaobo Cai, Lina Zhang, et al.. (2013). Association between Polymorphisms in the Renin-Angiotensin-Aldosterone System Genes and Essential Hypertension in the Han Chinese Population. PLoS ONE. 8(8). e72701–e72701. 33 indexed citations
16.
Ji, Lindan, Yuqing Qiu, Jin Xu, et al.. (2012). Genetic Adaptation of the Hypoxia-Inducible Factor Pathway to Oxygen Pressure among Eurasian Human Populations. Molecular Biology and Evolution. 29(11). 3359–3370. 30 indexed citations
17.
Yuan, Fang, et al.. (2012). Application of Tm-shift genotyping method in genetic studies. Hereditas (Beijing). 34(11). 1484–1490. 4 indexed citations
18.
Ji, Lindan, Jin Xu, Dong‐Dong Wu, et al.. (2009). Association of disease-predisposition polymorphisms of the melatonin receptors and sunshine duration in the global human populations. Journal of Pineal Research. 48(2). 133–141. 20 indexed citations
19.
Ling, Suk, Nelson L.S. Tang, Ya Zhang, et al.. (2007). Association of prostaglandin-endoperoxide synthase 2 (PTGS2) polymorphisms and Alzheimer's disease in Chinese. Neurobiology of Aging. 29(6). 856–860. 35 indexed citations
20.
Xu, Jin, Lindan Ji, & Lihong Xu. (2006). Lead-induced apoptosis in PC 12 cells: Involvement of p53, Bcl-2 family and caspase-3. Toxicology Letters. 166(2). 160–167. 99 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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