Ning Shen

1.5k citations
49 papers · 1.1k · h-index 19

Impact in

    • Metabolism and Genetic Disorders
    • Mitochondrial Function and Pathology
    • ATP Synthase and ATPases Research
    • Ubiquitin and proteasome pathways
    • Metabolism, Diabetes, and Cancer

Papers in

Ning Shen

47 papers receiving 1.1k citations

Peers

Ning Shen
Comparison fields: 5 of 143
  • Clinical Biochemistry 57
  • Molecular Biology 544
  • Cancer Research 71
  • Cell Biology 75
  • Aging 8
Replace Takaaki Goto with:
Takaaki Goto Japan
Yang C. Fann United States
Toshihiko Hayashi Japan
Xiaoling Liang China
Jaeho Jeong South Korea
Maggie P. Y. Lam United States
Igor Goryanin United Kingdom
Le Chen China
Xiaoying Ma China
David A. Ammar United States
Ning Shen relative to Takaaki Goto Japan Takaaki Goto's profile →
Citations per field
00.5×3.0×
Takaaki Goto · 1×
Citations per year

Countries citing papers authored by Ning Shen

Since Specialization
Citations

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

Fields of papers citing papers by Ning Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010224
2 201492
3 201172
4 199857
5 201552
6 201151
7 201543
8 202243
9 202042
10 202135
11 201331
12 201529
13 202126
14 201125
15 202324
16 201321
17
Prognostic values of serum cystatin C and beta2 microglobulin, urinary beta2 microglobulin and N-acetyl-beta-D-glucosaminidase in early acute renal failure after liver transplantation.
200820
18 201420
19 202219
20 201018

About Ning Shen

Ning Shen is a scholar working on Molecular Biology, Cell Biology, Oncology, Artificial Intelligence and Cancer Research, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cryptography and Data Security (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Privacy-Preserving Technologies in Data (3 papers), Cancer Genomics and Diagnostics (3 papers), Insect-Plant Interactions and Control (3 papers), Ubiquitin and proteasome pathways (2 papers), Insect Resistance and Genetics (2 papers) and Insect Pest Control Strategies (2 papers). The work is most often cited by research in Clinical Biochemistry (57 citations), Molecular Biology (544 citations), Cancer Research (71 citations), Cell Biology (75 citations) and Aging (8 citations). Ning Shen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Daria Mochly‐Rosen, Xin Qi, Raymond A. Sobel, Marie‐Hélène Disatnik, Chaojun Li, Bin Xue, Sudhakar Pamidighantam, Feiyan Pan, Xiang Gao and Shan Jiang. Their work appears in journals such as American Journal Of Pathology, Journal of Biological Chemistry, Pest Management Science, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Langmuir.

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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