Juan Ji

1.2k total citations · 1 hit paper
32 papers, 882 citations indexed

About

Juan Ji is a scholar working on Molecular Biology, Immunology and Electrical and Electronic Engineering. According to data from OpenAlex, Juan Ji has authored 32 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Immunology and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Juan Ji's work include Extracellular vesicles in disease (6 papers), Advanced Battery Materials and Technologies (5 papers) and Advanced battery technologies research (5 papers). Juan Ji is often cited by papers focused on Extracellular vesicles in disease (6 papers), Advanced Battery Materials and Technologies (5 papers) and Advanced battery technologies research (5 papers). Juan Ji collaborates with scholars based in China, United States and South Africa. Juan Ji's co-authors include Zhifeng Gu, Junling Yang, Alexia Stokes, Zhengchao Zhang, Thierry Fourcaud, Gretchen L. Tsika, R. W. Tsika, Chen Dong, Qiao Zhou and Wenjie Zheng and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Juan Ji

30 papers receiving 869 citations

Hit Papers

Inflammatory markers link triglyceride-glucose index and ... 2025 2026 2025 10 20 30

Peers

Juan Ji
Comparison fields: 5 of 102
  • Molecular Biology 460
  • Cancer Research 192
  • Immunology 136
  • Genetics 101
  • Mechanical Engineering 88
Replace Ruixin Li with:
Ruixin Li China
Chunling Xue China
Ju‐Ro Lee South Korea
Jie He China
Xi Ren China
Kaiyue Yang China
Ran Kang China
Eiichiro Nakamura Japan
M. Esther Gallardo Spain
Andi Wang China
Ruixin Li China View profile →
Citations per field, relative to Juan Ji
Juan Ji · 1×
Citations per year, relative to Juan Ji
Juan Ji · 1×

Countries citing papers authored by Juan Ji

Since Specialization
Citations

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

Fields of papers citing papers by Juan Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Ji. A scholar is included among the top collaborators of Juan 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 Juan Ji. Juan 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
# Work Indexed citations
1 1
2 7
3 27
4
Inflammatory markers link triglyceride-glucose index and obesity indicators with adverse cardiovascular events in patients with hypertension: insights from three cohorts breakdown →
32
5 5
6 0
7 1
8 5
9 2
10 7
11 42
12 26
13 55
14 11
15 8
16 39
17 20
18 26
19 91
20 46

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026