Bo Ning

2.7k citations
109 papers · 2.0k · h-index 19

Impact in

Papers in

Bo Ning

97 papers receiving 2.0k citations

Peers

Bo Ning
Comparison fields: 5 of 141
  • Hematology 215
  • Nutrition and Dietetics 202
  • Genetics 130
  • Health, Toxicology and Mutagenesis 139
  • Neurology 149
Replace Vladimir V. Shuvaev with:
Vladimir V. Shuvaev United States
Silke Meiners Germany
Serena Del Turco Italy
Jun Yang China
Satoshi Sugiyama Japan
Jiahao Chen China
Alexei G. Basnakian United States
Zhicheng Wang China
Tetsuya Yoshida Japan
Jialu Liu China
Bo Ning relative to Vladimir V. Shuvaev United States Vladimir V. Shuvaev's profile →
Citations per field
00.5×2.8×
Vladimir V. Shuvaev · 1×
Citations per year

Countries citing papers authored by Bo Ning

Since Specialization
Citations

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

Fields of papers citing papers by Bo Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010410
2 2011197
3 2010101
4 201398
5 201088
6 201563
7 201558
8 201853
9 201449
10 201748
11 200448
12 202042
13 201541
14 201538
15 202132
16 201732
17 201331
18 201726
19 202220
20 201218

About Bo Ning

Bo Ning is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology and Neurology, having authored 109 papers that have together received 2.0k indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (7 papers), Intracerebral and Subarachnoid Hemorrhage Research (6 papers), Gastric Cancer Management and Outcomes (5 papers), Pediatric Hepatobiliary Diseases and Treatments (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Hip disorders and treatments (4 papers). The work is most often cited by research in Hematology (215 citations), Nutrition and Dietetics (202 citations), Genetics (130 citations), Health, Toxicology and Mutagenesis (139 citations) and Neurology (149 citations). Bo Ning has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Guangjun Nie, Gregory J. Anderson, Yuliang Zhao, Jun‐Jie Yin, Jingyan Wei, Fan Jia, Ye Hu, Xiaochun Wu, Mauro Ferrari and Jianglin Fan. Their work appears in journals such as Journal of Molecular Neuroscience, Endoscopy, Journal of Thermal Biology, Antioxidants and Redox Signaling and Biotechnology and Applied Biochemistry.

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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