Linong Ji

14.9k total citations · 6 hit papers
312 papers, 7.7k citations indexed

About

Linong Ji is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Linong Ji has authored 312 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 203 papers in Endocrinology, Diabetes and Metabolism, 86 papers in Molecular Biology and 71 papers in Surgery. Recurrent topics in Linong Ji's work include Diabetes Treatment and Management (128 papers), Diabetes Management and Research (93 papers) and Metabolism, Diabetes, and Cancer (53 papers). Linong Ji is often cited by papers focused on Diabetes Treatment and Management (128 papers), Diabetes Management and Research (93 papers) and Metabolism, Diabetes, and Cancer (53 papers). Linong Ji collaborates with scholars based in China, United States and Australia. Linong Ji's co-authors include Xueyao Han, Xiaoling Cai, Xiuying Zhang, Xianghai Zhou, Wenjia Yang, Paul Zimmet, Chunfang Zhang, Zhiwei Fang, Zhuye Jie and Xinmin Qiu and has published in prestigious journals such as New England Journal of Medicine, JAMA and Nature Medicine.

In The Last Decade

Linong Ji

294 papers receiving 7.5k citations

Hit Papers

Human Gut Microbiota Changes Reveal the Progression of Gl... 2013 2026 2017 2021 2013 2020 2020 2023 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linong Ji China 43 3.6k 2.3k 1.4k 1.3k 1.1k 312 7.7k
Jianping Weng China 52 5.4k 1.5× 3.8k 1.7× 1.6k 1.1× 2.5k 1.9× 1.4k 1.3× 324 12.5k
Ranganath Muniyappa United States 33 2.0k 0.6× 1.5k 0.7× 1.5k 1.1× 917 0.7× 523 0.5× 85 6.5k
Clive S. Cockram Hong Kong 54 3.8k 1.1× 1.6k 0.7× 843 0.6× 1.2k 0.9× 1.1k 0.9× 260 9.2k
Francesco Zaccardi United Kingdom 51 2.8k 0.8× 1.4k 0.6× 2.1k 1.5× 1.5k 1.1× 538 0.5× 287 10.5k
Daniël H. van Raalte Netherlands 47 4.5k 1.3× 3.0k 1.3× 1.7k 1.3× 2.2k 1.6× 740 0.7× 216 8.6k
Yan Zheng China 36 1.9k 0.5× 2.4k 1.0× 2.1k 1.5× 768 0.6× 741 0.7× 146 7.8k
Linong Ji China 36 4.5k 1.3× 1.7k 0.8× 898 0.7× 1.5k 1.1× 999 0.9× 251 7.3k
J. B. L. Hoekstra Netherlands 45 4.1k 1.2× 1.3k 0.6× 969 0.7× 2.0k 1.5× 1.4k 1.2× 151 7.8k
Kwan‐Dun Wu Taiwan 57 2.6k 0.7× 1.9k 0.8× 701 0.5× 2.9k 2.2× 331 0.3× 371 11.2k
Michel P. Hermans Belgium 32 1.8k 0.5× 1.9k 0.8× 1.2k 0.9× 1.3k 1.0× 444 0.4× 195 5.2k

Countries citing papers authored by Linong Ji

Since Specialization
Citations

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

Fields of papers citing papers by Linong Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linong Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Linong Ji. A scholar is included among the top collaborators of Linong 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 Linong Ji. Linong 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.
Liu, Wei, Xiaoling Cai, Yu Zhu, et al.. (2025). Metabolic syndrome in type 1 diabetes: higher time above range and glycemic variability revealed by continuous glucose monitoring (CGM). Diabetology & Metabolic Syndrome. 17(1). 49–49. 2 indexed citations
2.
Tang, Sydney, et al.. (2025). Factors Associated with Returning to Work in Liver Transplantation Survivors: A Cross-sectional Study. Asian Nursing Research. 19(2). 193–199.
3.
Liu, Wei, Ying Gao, Rui Zhang, et al.. (2024). Predictive value of postprandial C-peptide for utilizing multiple daily injection therapy in type 2 diabetes. Endocrine. 85(3). 1162–1169.
4.
Ji, Linong, Yibing Lu, Zewei Shen, et al.. (2024). Impact of baseline characteristics on the efficacy of once‐weekly subcutaneous semaglutide among participants with type 2 diabetes : A post hoc analysis of SUSTAIN China. Diabetes Obesity and Metabolism. 26(11). 5312–5324. 1 indexed citations
6.
Zhao, Yilin, et al.. (2024). Hypoglycemic Response to Dorzagliatin in a Patient With GCK-MODY. Diabetes Care. 47(7). 1140–1142. 1 indexed citations
9.
Lv, Fang, Xiaoling Cai, Yufeng Li, et al.. (2023). Sensitivity to thyroid hormone and risk of components of metabolic syndrome in a Chinese euthyroid population. Journal of Diabetes. 15(10). 900–910. 18 indexed citations
10.
Cheng, Jingyi, Xiuying Zhang, Lingli Zhou, et al.. (2023). Evaluation of activity of Graves’ orbitopathy with multiparameter orbital magnetic resonance imaging (MRI). Quantitative Imaging in Medicine and Surgery. 13(5). 3040–3049. 6 indexed citations
11.
Wang, Lei, et al.. (2023). A dual-attention based coupling network for diabetes classification with heterogeneous data. Journal of Biomedical Informatics. 139. 104300–104300. 4 indexed citations
12.
Zhang, Rui, Xiaoling Cai, Chu Lin, et al.. (2023). Primary aldosteronism and obstructive sleep apnea: A meta-analysis of prevalence and metabolic characteristics. Sleep Medicine. 114. 8–14. 4 indexed citations
13.
Nolan, John J., Anna R. Kahkoska, Zhila Semnani‐Azad, et al.. (2022). ADA/EASD Precision Medicine in Diabetes Initiative: An International Perspective and Future Vision for Precision Medicine in Diabetes. Diabetes Care. 45(2). 261–266. 42 indexed citations
16.
Lv, Fang, Xiaoling Cai, Dayi Hu, et al.. (2019). Characteristics of Newly Diagnosed Type 2 Diabetes in Chinese Older Adults: A National Prospective Cohort Study. Journal of Diabetes Research. 2019. 1–9. 10 indexed citations
17.
Yabe, Daisuke, Atsutaka Yasui, Linong Ji, et al.. (2018). Safety and tolerability of empagliflozin in East Asian patients with type 2 diabetes: Pooled analysis of phase I–III clinical trials. Journal of Diabetes Investigation. 10(2). 418–428. 32 indexed citations
18.
Ji, Linong. (2014). Determination of diquat and paraquat residues in tea by ultra-performance liquid chromatographyelectrospray ionization tandem mass spectrometry. Chinese Journal of Analysis Laboratory. 1 indexed citations
19.
20.
Wang, Fang, Xueyao Han, Qian Ren, et al.. (2009). Effect of genetic variants in KCNJ11, ABCC8, PPARG and HNF4A loci on the susceptibility of type 2 diabetes in Chinese Han population.. PubMed. 122(20). 2477–82. 40 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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