Ning Yang

2.6k citations
73 papers · 1.7k · h-index 24

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • Circular RNAs in diseases 4
    • Inflammasome and immune disorders 3
    • interferon and immune responses 9
    • Immunotherapy and Immune Responses 9

Ning Yang

68 papers receiving 1.6k citations

Peers

Ning Yang
Comparison fields: 5 of 106
  • Immunology 457
  • Infectious Diseases 295
  • Cancer Research 148
  • Oncology 240
  • Obstetrics and Gynecology 65
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Citations per field
00.5×1.5×2.3×
Georgia Schäfer · 1×
Citations per year

Countries citing papers authored by Ning Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ning Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011330
2 201790
3 201868
4
Injection of complementary DNA encoding interleukin-12 inhibits tumor establishment at a distant site in a murine renal carcinoma model.
199663
5 202258
6 201455
7 202053
8 201449
9 202149
10 201242
11 201039
12 201436
13 200233
14 201832
15 201329
16 201729
17 201429
18 201829
19 201828
20 201427

About Ning Yang

Ning Yang is a scholar working on Molecular Biology, Immunology, Pharmacology, Genetics and Nephrology, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include interferon and immune responses (9 papers), Immunotherapy and Immune Responses (9 papers), Virus-based gene therapy research (8 papers), Fungal Biology and Applications (6 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers), Viral Infections and Vectors (4 papers) and Inflammasome and immune disorders (3 papers). The work is most often cited by research in Immunology (457 citations), Infectious Diseases (295 citations), Cancer Research (148 citations), Oncology (240 citations) and Obstetrics and Gynecology (65 citations). Ning Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chengyu Jiang, Jiejie Deng, Guigen Zhang, Kangtai Liu, Jingtao Chen, Xinping Lv, Liang Deng, Yuan Qiao, Lixin Sun and Shan Zhu. Their work appears in journals such as The Journal of Immunology, Pharmacological Research, PLoS ONE, Nature Communications and Renal Failure.

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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