Juan Cai

2.1k total citations · 1 hit paper
37 papers, 1.4k citations indexed

About

Juan Cai is a scholar working on Epidemiology, Nephrology and Molecular Biology. According to data from OpenAlex, Juan Cai has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 11 papers in Nephrology and 10 papers in Molecular Biology. Recurrent topics in Juan Cai's work include Autophagy in Disease and Therapy (9 papers), Acute Kidney Injury Research (7 papers) and Surfactants and Colloidal Systems (4 papers). Juan Cai is often cited by papers focused on Autophagy in Disease and Therapy (9 papers), Acute Kidney Injury Research (7 papers) and Surfactants and Colloidal Systems (4 papers). Juan Cai collaborates with scholars based in China, United States and Netherlands. Juan Cai's co-authors include Chengyuan Tang, Zheng Dong, Xiao-Ming Yin, Joel M. Weinberg, Manjeri A. Venkatachalam, Guochun Chen, Dongshan Zhang, Ying Fu, Ying Wang and Yuxue Liu and has published in prestigious journals such as The Journal of Immunology, Food Chemistry and Kidney International.

In The Last Decade

Juan Cai

34 papers receiving 1.4k citations

Hit Papers

Mitochondrial quality control in kidney injury and repair 2020 2026 2022 2024 2020 100 200 300

Peers

Juan Cai
Comparison fields: 5 of 104
  • Molecular Biology 616
  • Nephrology 478
  • Epidemiology 288
  • Pathology and Forensic Medicine 177
  • Cancer Research 161
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Jianghua Chen China
Yunfang Zhang China
Qingjun Pan China
Eugene O. Apostolov United States
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Jing Xiong China
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Yabing Chen United States
Jianghua Chen China View profile →
Citations per field, relative to Juan Cai
Juan Cai · 1×
Citations per year, relative to Juan Cai
Juan Cai · 1×

Countries citing papers authored by Juan Cai

Since Specialization
Citations

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

Fields of papers citing papers by Juan Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Cai. A scholar is included among the top collaborators of Juan Cai 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 Juan Cai. Juan Cai 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
# Work Indexed citations
1 0
2 1
3 5
4 1
5 9
6 1
7 21
8 11
9 6
10 30
11 90
12
Mitochondrial quality control in kidney injury and repair breakdown →
333
13 168
14 30
15 186
16 22
17
[Surgical application of pedicle drill template navigation technology for complicated scoliosis].
6
18 5
19 14
20 45

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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