Junling Gu

1.1k citations
23 papers · 831 · 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 825 citations

Peers

Junling Gu
Comparison fields: 5 of 88
  • Nephrology 89
  • Biological Psychiatry 27
  • Rehabilitation 59
  • Endocrinology, Diabetes and Metabolism 110
  • Clinical Biochemistry 43
Replace Fawaz Alzaïd with:
Fawaz Alzaïd France
Yan Shen China
Adam Armstrong United States
Leela Goodspeed United States
Xuexue Zhu China
Hong Fu China
Yaoyuan Zhang China
Hilda Vargas‐Robles Mexico
Roberta Sanguineti Italy
Samaa Samir Kamar Egypt
Junling Gu relative to Fawaz Alzaïd France Fawaz Alzaïd's profile →
Citations per field
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Fawaz Alzaïd · 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 2016116
3 201995
4 201982
5 202370
6 202268
7 202043
8 202240
9 202034
10 202425
11 202122
12 202320
13 202113
14 202312
15 202012
16 20158
17 20237
18 20226
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 831 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 (110 citations) and Clinical Biochemistry (43 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, Tingting Zhao, Zongzhe Jiang, Xiumei Ma, Man Guo and Luping Zhou. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Heliyon, Cell Death Discovery, International Immunopharmacology and Molecular Pharmacology.

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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