Na Shen

593 total citations · 1 hit paper
19 papers, 341 citations indexed

About

Na Shen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Na Shen has authored 19 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Immunology. Recurrent topics in Na Shen's work include Ferroptosis and cancer prognosis (3 papers), interferon and immune responses (2 papers) and Multiple Myeloma Research and Treatments (2 papers). Na Shen is often cited by papers focused on Ferroptosis and cancer prognosis (3 papers), interferon and immune responses (2 papers) and Multiple Myeloma Research and Treatments (2 papers). Na Shen collaborates with scholars based in China, Macao and Türkiye. Na Shen's co-authors include Qingsong Xu, Qi Zhao, Jie Yang, Shigao Huang, Zhangjie Wang, Yu Liu, Yuan Xia, Yang Wang, Hongbo Li and Gaohua Han and has published in prestigious journals such as Blood, Scientific Reports and Cell Death and Differentiation.

In The Last Decade

Na Shen

15 papers receiving 337 citations

Hit Papers

Artificial intelligence in lung cancer diagnosis and prog... 2023 2026 2024 2025 2023 40 80 120

Peers

Na Shen
Comparison fields: 5 of 79
  • Molecular Biology 152
  • Pulmonary and Respiratory Medicine 147
  • Cancer Research 87
  • Radiology, Nuclear Medicine and Imaging 84
  • Artificial Intelligence 41
Replace Simon Schallenberg with:
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Simon Schallenberg Germany View profile →
Citations per field, relative to Na Shen
Na Shen · 1×
Citations per year, relative to Na Shen
Na Shen · 1×

Countries citing papers authored by Na Shen

Since Specialization
Citations

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

Fields of papers citing papers by Na Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Na Shen. A scholar is included among the top collaborators of Na Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Na Shen. Na Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 35
5 1
6 3
7 0
8 15
9 52
10
Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspective breakdown →
147
11 53
12 6
13 10
14 1
15 3
16
Error Ellipse Search Method for Fixing GNSS Integer Ambiguity
0
17 10
18
Imprinted Human Serum Albumin with Antioxidant Activity
3
19
Investigation for the function of systemic lupus erythematosus associated gene IFIT1
1

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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