Ning Shang

1.4k citations
28 papers · 163 · h-index 7

Impact in

Papers in

    • Pediatric Hepatobiliary Diseases and Treatments 2
    • Liver Disease Diagnosis and Treatment 5

Ning Shang

27 papers receiving 161 citations

Peers

Ning Shang
Comparison fields: 5 of 55
  • Health Informatics 7
  • Nephrology 23
  • Hepatology 23
  • Complementary and alternative medicine 20
  • Nuclear Energy and Engineering 1
Replace Jianbin Zhang with:
Jianbin Zhang China
Dan Haberman United States
Jun Mukai Japan
Petar Svorcan Serbia
Xianglin Hu China
Lichun Shao China
Sergi Clotet‐Freixas Canada
Jianluo Jia United States
Kang Zhao China
Ning Shang relative to Jianbin Zhang China Jianbin Zhang's profile →
Citations per field
00.5×1.5×1.8×
Jianbin Zhang · 1×
Citations per year

Countries citing papers authored by Ning Shang

Since Specialization
Citations

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

Fields of papers citing papers by Ning Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ning Shang, 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 Ning Shang Line = papers co-authored together Ning Shang 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 202126
2 202126
3 201723
4 202115
5 201912
6 20239
7 20226
8 20235
9 20224
10 20244
11 20224
12 20223
13 20243
14 20233
15 20233
16 20223
17 20203
18 20192
19 20211
20 20231

About Ning Shang

Ning Shang is a scholar working on Surgery, Epidemiology, Pediatrics, Perinatology and Child Health, Genetics and Hepatology, having authored 28 papers that have together received 163 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Liver Diseases and Immunity (3 papers), Fetal and Pediatric Neurological Disorders (3 papers), Genetic and Kidney Cyst Diseases (2 papers), Tracheal and airway disorders (2 papers), Tumors and Oncological Cases (2 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers) and Urological Disorders and Treatments (2 papers). The work is most often cited by research in Health Informatics (7 citations), Nephrology (23 citations), Hepatology (23 citations), Complementary and alternative medicine (20 citations) and Nuclear Energy and Engineering (1 citation). Ning Shang has collaborated with scholars based in China and United States. Frequent co-authors include Fankun Meng, Xing Hu, Angela M. Mills, Jacob S. Stevens, Satoru Kudose, Jie Chen, Katherine Xu, Qiuping Ma, Rosemary V. Sampogna and Jing Chang. Their work appears in journals such as The Journal of Maternal-Fetal & Neonatal Medicine, Frontiers in Genetics, BMC Gastroenterology, Frontiers in Pediatrics and Ceramics International.

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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