Jun Bao

26 papers receiving 520 citations

Peers

Jun Bao
Comparison fields: 5 of 79
  • Complementary and alternative medicine 92
  • Rheumatology 68
  • Orthopedics and Sports Medicine 35
  • Pharmacology 34
  • Toxicology 10
Replace Kang Zheng with:
Kang Zheng China
Angéla Pákozdi United Kingdom
Daiana Giannini Italy
Tatsuji Takahashi Japan
Ki-Yeun Park South Korea
Hao Yuan China
Xiaobing Wang China
H. Hassan Egypt
Ting Jiang China
Wan Hee Yoo South Korea
Jun Bao relative to Kang Zheng China Kang Zheng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jun Bao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011139
2 201651
3 202049
4 201427
5 201924
6 201824
7
High expression of inositol polyphosphate phosphatase-like 1 associates with unfavorable survival in hepatocellular carcinoma.
201323
8 201918
9 201517
10 201617
11 201117
12 201317
13 201415
14
Comparison of Charlson's weighted index of comorbidities with the chronic health score for the prediction of mortality in septic patients.
201412
15 201411
16 201510
17 20148
18 20147
19 20237
20 20146

About Jun Bao

Jun Bao is a scholar working on Molecular Biology, Epidemiology, Rheumatology, Oncology and Surgery, having authored 29 papers that have together received 525 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (3 papers), Piezoelectric Actuators and Control (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Systemic Lupus Erythematosus Research (2 papers), Iterative Learning Control Systems (2 papers), Bone and Joint Diseases (2 papers) and Urticaria and Related Conditions (2 papers). The work is most often cited by research in Complementary and alternative medicine (92 citations), Rheumatology (68 citations), Orthopedics and Sports Medicine (35 citations), Pharmacology (34 citations) and Toxicology (10 citations). Jun Bao has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Sheng‐Ming Dai, Yixiao Bao, Huanhuan Qi, Gang Ouyang, Bo Ma, Pengling Zhang, Guohua An, Qi Zhang, Pingkai Ouyang and Hanjie Ying. Their work appears in journals such as Asian Journal of Control, The American Journal of Chinese Medicine, Menopause The Journal of The North American Menopause Society, Bioorganic & Medicinal Chemistry Letters and Pediatric Pulmonology.

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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