Shanglei Ning

1.6k citations
33 papers · 1.4k · h-index 19

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Cholangiocarcinoma and Gallbladder Cancer Studies 6
    • Pancreatic function and diabetes 5
    • Colorectal Cancer Treatments and Studies 4
    • Cancer Cells and Metastasis 2
    • Colorectal Cancer Surgical Treatments 2

Shanglei Ning

30 papers receiving 1.3k citations

Peers

Shanglei Ning
Comparison fields: 5 of 65
  • Cancer Research 281
  • Hepatology 163
  • Oncology 214
  • Molecular Biology 353
  • Sensory Systems 25
Replace Lei Zhu with:
Lei Zhu China
Song He China
Ana Sofia Rocha Portugal
Seongyeol Park South Korea
Morito Monden Japan
Yasufumi Omori Japan
Guanglong Dong China
窦科峰 China
Yoshifumi Nakayama Japan
Meghan S. Adams United States
Shanglei Ning relative to Lei Zhu China Lei Zhu's profile →
Citations per field
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Lei Zhu · 1×
Citations per year

Countries citing papers authored by Shanglei Ning

Since Specialization
Citations

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

Fields of papers citing papers by Shanglei Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012473
2 201481
3 201675
4 201473
5 201867
6 202264
7 201757
8 201650
9 201539
10 201838
11 201437
12 201235
13 201732
14 201832
15 201830
16 201329
17 201027
18 202325
19 202322
20 202013

About Shanglei Ning

Shanglei Ning is a scholar working on Surgery, Oncology, Genetics, Hepatology and Cancer Research, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Pancreatic function and diabetes (5 papers), Colorectal Cancer Treatments and Studies (4 papers), Receptor Mechanisms and Signaling (2 papers), Protein Tyrosine Phosphatases (2 papers), Cancer Cells and Metastasis (2 papers), Colorectal Cancer Surgical Treatments (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Cancer Research (281 citations), Hepatology (163 citations), Oncology (214 citations), Molecular Biology (353 citations) and Sensory Systems (25 citations). Shanglei Ning has collaborated with scholars based in China and United States. Frequent co-authors include Yunfei Xu, Hong-Yang Wang, Qi-Jing Li, Yunfei Yuan, Dong Xie, Geoffrey J. Markowitz, Shuqun Cheng, Yu-Xiong Feng, Shan Jiang and Yuezhen Deng. Their work appears in journals such as British Journal of Pharmacology, Cell Death and Disease, Journal of Cellular and Molecular Medicine, International Journal of Oncology and Frontiers in Oncology.

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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