Pengyan Xia

3.4k citations
33 papers · 2.7k indexed · 1 hit paper · h-index 24
Topics
Immune Cell Function and Interaction (10 papers)interferon and immune responses (7 papers)Pluripotent Stem Cells Research (5 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Pengyan Xia

32 papers receiving 2.7k citations

Hit Papers

The Long Noncoding RNA lncTCF7 Promotes Self-Renewal of H...20152026201820222015100200300400500

Peers

Pengyan Xia
Comparison fields: 5 of 100
  • Molecular Biology 1.7k
  • Immunology 955
  • Cancer Research 837
  • Epidemiology 448
  • Oncology 367
Replace Aifu Lin with:
Aifu Lin China
Lianyun Li China
Satoshi Yamasaki Japan
Pinglong Xu China
Joachim Weischenfeldt Denmark
Claire E. McCoy Ireland
Amy S. Weinmann United States
Brian Skaug United States
Felipe X. Pimentel‐Muiños Spain
Michael J. Pinkoski United States
Pengyan Xia relative to Aifu Lin China Aifu Lin's profile →
Citations per field
00.5×2.6×
Aifu Lin · 1×
Citations per year

Countries citing papers authored by Pengyan Xia

Since Specialization
Citations

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

Fields of papers citing papers by Pengyan Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengyan Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Pengyan Xia. A scholar is included among the top collaborators of Pengyan Xia 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 Pengyan Xia. Pengyan Xia 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
#WorkIndexed citations
1 0
2 26
3 17
4 39
5 228
6 73
7 21
8 20
9 31
10 114
11 179
12 158
13 50
14
The Long Noncoding RNA lncTCF7 Promotes Self-Renewal of Human Liver Cancer Stem Cells through Activation of Wnt Signalingbreakdown →
529
15 79
16 46
17 214
18 5
19 165
20 29

About Pengyan Xia

Pengyan Xia is a scholar working on Immunology, Hematology and Biological Psychiatry, having authored 33 papers that have together received 2.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), interferon and immune responses (7 papers) and Pluripotent Stem Cells Research (5 papers). The work is most often cited by research in Cancer Research (837 citations), Immunology (955 citations) and Molecular Biology (1.7k citations). Pengyan Xia has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zusen Fan, Buqing Ye, Ying Du, Guanling Huang, Pingping Zhu, Yong Tian, Shuo Wang, Zhen Xiong, Yanying Wang and Xinlong Yan. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

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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