Junling Gu

1.1k citations
23 papers · 824 · h-index 13

Impact in

Papers in

    • Inflammasome and immune disorders 4
    • Heme Oxygenase-1 and Carbon Monoxide 2
    • Chronic Kidney Disease and Diabetes 2

Junling Gu

21 papers receiving 820 citations

Peers

Junling Gu
Comparison fields: 5 of 87
  • Nephrology 89
  • Biological Psychiatry 27
  • Rehabilitation 59
  • Endocrinology, Diabetes and Metabolism 109
  • Clinical Biochemistry 42
Replace Yan Shen with:
Yan Shen China
Fawaz Alzaïd France
Leela Goodspeed United States
Adam Armstrong United States
Xuexue Zhu China
Hong Fu China
Yaoyuan Zhang China
Kristen D. Singleton United States
Fen Yuan China
Hilda Vargas‐Robles Mexico
Junling Gu relative to Yan Shen China Yan Shen's profile →
Citations per field
00.5×4.9×
Yan Shen · 1×
Citations per year

Countries citing papers authored by Junling Gu

Since Specialization
Citations

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

Fields of papers citing papers by Junling Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junling Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junling Gu Line = papers co-authored together Junling Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020155
2 2016113
3 201993
4 201982
5 202370
6 202268
7 202043
8 202240
9 202034
10 202424
11 202122
12 202320
13 202113
14 202312
15 202012
16 20158
17 20226
18 20236
19 20251
20 20241

About Junling Gu

Junling Gu is a scholar working on Molecular Biology, Nephrology, Endocrinology, Diabetes and Metabolism, Physiology and Immunology, having authored 23 papers that have together received 824 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (4 papers), Diabetes Treatment and Management (3 papers), Pancreatic function and diabetes (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Advanced Glycation End Products research (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Nephrology (89 citations), Biological Psychiatry (27 citations), Rehabilitation (59 citations), Endocrinology, Diabetes and Metabolism (109 citations) and Clinical Biochemistry (42 citations). Junling Gu has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Yong Xu, Wei Huang, Youhua Xu, Chenlin Gao, Yang Long, Zongzhe Jiang, Xiumei Ma, Tingting Zhao, Man Guo and Luping Zhou. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Heliyon, International Immunopharmacology, Journal of Diabetes and Frontiers in Nutrition.

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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