Juan Yang

858 total citations
52 papers, 631 citations indexed

About

Juan Yang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Juan Yang has authored 52 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 11 papers in Cancer Research and 9 papers in Immunology. Recurrent topics in Juan Yang's work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (7 papers) and Aquaculture disease management and microbiota (5 papers). Juan Yang is often cited by papers focused on RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (7 papers) and Aquaculture disease management and microbiota (5 papers). Juan Yang collaborates with scholars based in China, United Kingdom and Singapore. Juan Yang's co-authors include Keqiang Zhang, Pei Wu, Huirong Li, Shuping Peng, Ling Hou, Lin Feng, Xiaoyin Ma, Haining Li, Wei‐Dan Jiang and Xiao‐Qiu Zhou and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLANT PHYSIOLOGY.

In The Last Decade

Juan Yang

48 papers receiving 624 citations

Peers

Juan Yang
Comparison fields: 5 of 105
  • Molecular Biology 334
  • Cancer Research 144
  • Immunology 100
  • Aquatic Science 78
  • Cell Biology 69
Replace Yingbo Lin with:
Yingbo Lin Sweden
Olga Genin Israel
Ying Yan China
Hyunju Ro South Korea
Moon‐Chang Choi South Korea
Lili Lin China
Heng Qiu China
Eunjeong Kim South Korea
Xiujuan Zhang China
Di Zhou China
Yingbo Lin Sweden View profile →
Citations per field, relative to Juan Yang
Juan Yang · 1×
Citations per year, relative to Juan Yang
Juan Yang · 1×

Countries citing papers authored by Juan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Juan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Yang. A scholar is included among the top collaborators of Juan Yang 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 Juan Yang. Juan Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 5
3 0
4 5
5 5
6 2
7 8
8 0
9 7
10 25
11 1
12 15
13 17
14 18
15 36
16 49
17 8
18
Papaverine inhibits lipopolysaccharide-induced microglial activation by suppressing NF-κB signaling pathway
2
19 17
20
Effects of Phosphorus Level on the Activity of Acid Phosphatase in Roots of Hybrid Rice and Its Parents
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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