Jun‐Ma Yu

730 citations
32 papers · 492 indexed · h-index 13

Impact in

Papers in

Jun‐Ma Yu

29 papers receiving 482 citations

Peers

Jun‐Ma Yu
Comparison fields: 5 of 65
  • Anesthesiology and Pain Medicine 136
  • Developmental Neuroscience 40
  • Obstetrics and Gynecology 54
  • Critical Care and Intensive Care Medicine 33
  • Endocrinology, Diabetes and Metabolism 95
Replace G. Shorten with:
G. Shorten Ireland
Alese Wagner Canada
Shaoqiang Huang China
Yasuyuki Tokinaga Japan
Hiroaki Abe Japan
Jan Sundell Finland
Shahar Bar-Yosef United States
Bilge Çelebioğlu Türkiye
Ayşe Heves Karagöz Türkiye
Fatemeh Javaherforooshzadeh Iran
Jun‐Ma Yu relative to G. Shorten Ireland G. Shorten's profile →
Citations per field
00.5×10×15×19.7×
G. Shorten · 1×
Citations per year

Countries citing papers authored by Jun‐Ma Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Ma Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006130
2 201053
3 201740
4 201031
5 202218
6 201218
7 201118
8 201617
9 201915
10 201814
11 202313
12 201612
13 202012
14 201111
15 20129
16 19899
17 20239
18 20228
19 19898
20 20207

About Jun‐Ma Yu

Jun‐Ma Yu is a scholar working on Anesthesiology and Pain Medicine, Developmental Neuroscience, Critical Care and Intensive Care Medicine, Emergency Medicine and Pathology and Forensic Medicine, having authored 32 papers that have together received 492 indexed citations. Recurring topics across this work include Anesthesia and Pain Management (11 papers), Anesthesia and Sedative Agents (11 papers), Nausea and vomiting management (9 papers), Anesthesia and Neurotoxicity Research (6 papers), Cardiac Ischemia and Reperfusion (6 papers), Airway Management and Intubation Techniques (4 papers), Cardiac Arrest and Resuscitation (4 papers) and Intensive Care Unit Cognitive Disorders (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (136 citations), Developmental Neuroscience (40 citations), Obstetrics and Gynecology (54 citations), Critical Care and Intensive Care Medicine (33 citations) and Endocrinology, Diabetes and Metabolism (95 citations). Jun‐Ma Yu has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Daiyu Hu, Yao Lu, Tao Duan, Yanming Wu, Peng Sun, Chao Wu, Lining Wu, Qiang Lü, Ye Zhang and Jun Zhang. Their work appears in journals such as BMC Anesthesiology, Journal of Pain Research, Medicine, Journal of Cellular Biochemistry and International Journal of Cardiology.

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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