Linong Ji

14.9k citations
312 papers · 7.7k indexed · 6 hit papers · h-index 43
Topics
Diabetes Treatment and Management (128 papers)Diabetes Management and Research (93 papers)Metabolism, Diabetes, and Cancer (53 papers)

In The Last Decade

Linong Ji

294 papers receiving 7.5k citations

Hit Papers

Human Gut Microbiota Changes Reveal the Progression of Gl...201320262017202120132020202020232023200400600

Peers

Linong Ji
Comparison fields: 5 of 150
  • Endocrinology, Diabetes and Metabolism 3.6k
  • Molecular Biology 2.3k
  • Physiology 1.4k
  • Surgery 1.3k
  • Genetics 1.1k
Replace Jianping Weng with:
Jianping Weng China
Francesco Zaccardi United Kingdom
Ranganath Muniyappa United States
Clive S. Cockram Hong Kong
Yan Zheng China
Jin‐Kui Yang China
Michel P. Hermans Belgium
Kelly L. Close United States
J. B. L. Hoekstra Netherlands
Daniël H. van Raalte Netherlands
Linong Ji relative to Jianping Weng China Jianping Weng's profile →
Citations per field
00.5×1.5×
Jianping Weng · 1×
Citations per year

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
#WorkIndexed citations
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2 0
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4 1
5 0
6 1
7 8
8 8
9 18
10 6
11 4
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13 42
14 47
15 4
16 10
17 32
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Determination of diquat and paraquat residues in tea by ultra-performance liquid chromatographyelectrospray ionization tandem mass spectrometry
1
19 21
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Effect of genetic variants in KCNJ11, ABCC8, PPARG and HNF4A loci on the susceptibility of type 2 diabetes in Chinese Han population.
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About Linong Ji

Linong Ji is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Genetics, having authored 312 papers that have together received 7.7k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (128 papers), Diabetes Management and Research (93 papers) and Metabolism, Diabetes, and Cancer (53 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.6k citations), Infectious Diseases (1.0k citations) and Physiology (1.4k citations). Linong Ji has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xueyao Han, Xiaoling Cai, Xiuying Zhang, Xianghai Zhou, Wenjia Yang, Paul Zimmet, Chunfang Zhang, Zhiwei Fang, Zhuye Jie and Xinmin Qiu. Their work appears in journals such as New England Journal of Medicine, JAMA and Nature Medicine.

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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