Junyu Xiang

408 citations
5 papers · 233 · 1 hit paper · h-index 4

Impact in

Papers in

Junyu Xiang

4 papers receiving 233 citations

Junyu Xiang's Hit Papers

Amino acid metabolism in immune cells: essential regulators of the effector functions, and promising opportunities to enhance cancer immunotherapy 2023 · 195 citations
1950+1+2Years since publication50100150

Peers

Junyu Xiang
Comparison fields: 5 of 63
  • Biological Psychiatry 9
  • Cancer Research 44
  • Immunology 58
  • Molecular Biology 98
  • Biochemistry 10
Replace Bikash Thapa with:
Bikash Thapa South Korea
Daniel C. Sévin Germany
Emily Megill United States
Timna Varela Martins Brazil
Yan Long China
Helen Carrasco Hope Switzerland
Martha Imprialou United Kingdom
Naisheng Zheng China
Xiaofang Jin China
Junyu Xiang relative to Bikash Thapa South Korea Bikash Thapa's profile →
Citations per field
00.5×2.8×
Bikash Thapa · 1×
Citations per year

Countries citing papers authored by Junyu Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Junyu Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Junyu Xiang, 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 Junyu Xiang Line = papers co-authored together Junyu Xiang links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Amino acid metabolism in immune cells: essential regulators of the effector functions, and promising opportunities to enhance cancer immunotherapy
Hit paper breakdown →
2023195
2 202221
3 202214
4 20203
5 20250

About Junyu Xiang

Junyu Xiang is a scholar working on Molecular Biology, Immunology, Genetics, Mechanics of Materials and Computational Mechanics, having authored 5 papers that have together received 233 indexed citations. Recurring topics across this work include Immune cells in cancer (2 papers), Numerical methods in engineering (1 paper), Epigenetics and DNA Methylation (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper), Advanced Numerical Methods in Computational Mathematics (1 paper), Mesenchymal stem cell research (1 paper), Autophagy in Disease and Therapy (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Biological Psychiatry (9 citations), Cancer Research (44 citations), Immunology (58 citations), Molecular Biology (98 citations) and Biochemistry (10 citations). Junyu Xiang has collaborated with scholars based in China. Frequent co-authors include Luming Yang, Bin Wang, Zhaole Chu, Jinyang Li, Tao Wang, Yazhou Wang, Fang Zhang, Lu Zhang, Limei Liu and Yi‐Ling Huang. Their work appears in journals such as Journal of Hematology & Oncology, Frontiers in Oncology, International Journal for Numerical Methods in Engineering, Frontiers in Public Health and Journal of Thoracic Disease.

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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