Long Yang

1.7k citations
53 papers · 1.3k · h-index 19

Impact in

  • Immunology top 5%
    • interferon and immune responses
    • Immune Response and Inflammation
    • NF-κB Signaling Pathways
    • Cancer-related molecular mechanisms research

Papers in

    • RNA modifications and cancer 4
    • RNA Research and Splicing 2
    • Cancer-related Molecular Pathways 3

Long Yang

51 papers receiving 1.3k citations

Peers

Long Yang
Comparison fields: 5 of 95
  • Immunology 626
  • Cancer Research 185
  • Infectious Diseases 227
  • Hepatology 72
  • Oncology 213
Replace Aiping Mao with:
Aiping Mao China
Simon Preston Australia
Shi‐Chuen Miaw Taiwan
Cong Xu China
Joachim Rothe Switzerland
Caroline Lassnig Austria
Mitsukiyo Fujii Japan
Jueqi Chen United States
Sally T. Ishizaka United States
John D. Lich United States
Long Yang relative to Aiping Mao China Aiping Mao's profile →
Citations per field
00.5×1.5×
Aiping Mao · 1×
Citations per year

Countries citing papers authored by Long Yang

Since Specialization
Citations

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

Fields of papers citing papers by Long Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006187
2 2009152
3 201895
4 201382
5 201078
6 200875
7 201260
8 202055
9 201854
10 201352
11 202235
12 201626
13 201724
14 202222
15 202122
16 200421
17
lncRNA NORAD promotes hepatocellular carcinoma progression via regulating miR-144-3p/SEPT2.
202019
18 201519
19 201719
20 201918

About Long Yang

Long Yang is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Infectious Diseases, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include interferon and immune responses (11 papers), Viral Infections and Vectors (6 papers), Mosquito-borne diseases and control (5 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers), Immune Response and Inflammation (3 papers), Cancer-related Molecular Pathways (3 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Immunology (626 citations), Cancer Research (185 citations), Infectious Diseases (227 citations), Hepatology (72 citations) and Oncology (213 citations). Long Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Rongtuan Lin, Penghua Wang, Qiang Sun, John Hiscott, Erol Fikrig, Peyman Nakhaei, Leilei Wang, Judith Lacoste, Damien Vitour and Ilkka Julkunen. Their work appears in journals such as PLoS ONE, Cytokine, Nature Immunology, Frontiers in Immunology and Journal of Cellular and Molecular Medicine.

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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