Ning Shi

2.2k citations
124 papers · 1.5k indexed · h-index 23

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • Extracellular vesicles in disease
    • RNA modifications and cancer

Papers in

Ning Shi

111 papers receiving 1.5k citations

Peers

Ning Shi
Comparison fields: 5 of 111
  • Cancer Research 432
  • Molecular Biology 768
  • Oncology 279
  • Immunology 208
  • Pulmonary and Respiratory Medicine 262
Replace Anna Pryczynicz with:
Anna Pryczynicz Poland
Ying Jiang China
Sadeesh K. Ramakrishnan United States
Peng Tang China
Wenting Xu China
Katarzyna Guzińska-Ustymowicz Poland
Feng Xue China
Xiaoqi Wang China
Wenlong Zhai China
Jörg Hoffmann Germany
Ning Shi relative to Anna Pryczynicz Poland Anna Pryczynicz's profile →
Citations per field
00.5×1.5×2.2×
Anna Pryczynicz · 1×
Citations per year

Countries citing papers authored by Ning Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ning Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20250
4 20243
5 20243
6 20243
7 202311
8 20230
9 20233
10 20231
11 20238
12 202030
13 2020102
14 201815
15 20183
16 201713
17 20158
18 201429
19 201478
20
Estimation and Test of ARCH(0,2) Model under Order Restriction
20021

About Ning Shi

Ning Shi is a scholar working on Hepatology, Gastroenterology, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 124 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Pancreatic and Hepatic Oncology Research (12 papers), Cancer Immunotherapy and Biomarkers (9 papers), Cancer-related molecular mechanisms research (9 papers), Ferroptosis and cancer prognosis (7 papers), Renal cell carcinoma treatment (6 papers), Gastrointestinal motility and disorders (5 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Cancer Research (432 citations), Molecular Biology (768 citations), Oncology (279 citations), Immunology (208 citations) and Pulmonary and Respiratory Medicine (262 citations). Ning Shi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shi‐You Chen, Xia Guo, Yiping Zou, Baohua Hou, Tingting Ma, Man-Ping Wu, Haosheng Jin, Wei‐Bing Xie, Haifeng Lian and Zhihong Chen. Their work appears in journals such as Frontiers in Pharmacology, Frontiers in Oncology, Frontiers in Immunology, Neuromodulation Technology at the Neural Interface and Circulation Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026