Jun Yao

1.3k citations
28 papers · 918 · h-index 14

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Immunotherapy and Immune Responses

Papers in

Jun Yao

28 papers receiving 905 citations

Peers

Jun Yao
Comparison fields: 5 of 100
  • Nephrology 105
  • Immunology 165
  • Molecular Biology 382
  • Cancer Research 69
  • Biochemistry 35
Replace John F. Di Mari with:
John F. Di Mari United States
Ye Zhao China
Doris Kloor Germany
Raghunatha R. Yammani United States
Farooq Syed United States
Jeremy Turner United Kingdom
Gábor Kökény Hungary
Chi Liu China
Jun Yao relative to John F. Di Mari United States John F. Di Mari's profile →
Citations per field
00.5×7.1×
John F. Di Mari · 1×
Citations per year

Countries citing papers authored by Jun Yao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Yao, 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 Jun Yao Line = papers co-authored together Jun Yao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010225
2 200391
3 201289
4 201385
5 201382
6 201146
7 202238
8 200433
9 201629
10 202028
11 202027
12 200925
13 201723
14 202117
15 202012
16 201610
17
Susceptibility of spontaneously hypertensive rats to the diabetogenic effects of streptozotocin.
199610
18 20229
19 20168
20
[Antibacterial activity of erythritol on periodontal pathogen].
20196

About Jun Yao

Jun Yao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Oncology and Epidemiology, having authored 28 papers that have together received 918 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (3 papers), Inhalation and Respiratory Drug Delivery (2 papers), TGF-β signaling in diseases (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Advanced Glycation End Products research (2 papers), Cancer therapeutics and mechanisms (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Nephrology (105 citations), Immunology (165 citations), Molecular Biology (382 citations), Cancer Research (69 citations) and Biochemistry (35 citations). Jun Yao has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xinli Qu, Jinhua Li, Hiroshi Yamamoto, Yasuhiko Yamamoto, Sharon D. Ricardo, Georgina Caruana, John F. Bertram, Jennifer M. Rolland, Magdalena Plebanski and Charles L. Hardy. Their work appears in journals such as The Journal of Immunology, Archives of Oral Biology, Canadian Journal of Physiology and Pharmacology, Geomechanics and Geophysics for Geo-Energy and Geo-Resources and Journal of Veterinary Science.

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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