Wenji Piao

2.3k citations
42 papers · 1.8k indexed · h-index 21
Topics
Immune Response and Inflammation (20 papers)NF-κB Signaling Pathways (13 papers)Immunotherapy and Immune Responses (9 papers)

In The Last Decade

Wenji Piao

41 papers receiving 1.8k citations

Peers

Wenji Piao
Comparison fields: 5 of 98
  • Immunology 1.1k
  • Molecular Biology 490
  • Epidemiology 262
  • Oncology 261
  • Cancer Research 259
Replace Katarzyna Bulek with:
Katarzyna Bulek United States
Lisa A. Mielke Australia
Adrian Achuthan Australia
Maria C. Lebre Netherlands
Joseph M. Reynolds United States
H. W. Löms Ziegler‐Heitbrock Germany
Óscar M. Pello Spain
Giovanna Leoni United States
Paolo Biancheri Italy
Jayne Chin United States
Wenji Piao relative to Katarzyna Bulek United States Katarzyna Bulek's profile →
Citations per field
00.5×
Katarzyna Bulek · 1×
Citations per year

Countries citing papers authored by Wenji Piao

Since Specialization
Citations

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

Fields of papers citing papers by Wenji Piao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenji Piao

This figure shows the co-authorship network connecting the top 25 collaborators of Wenji Piao. A scholar is included among the top collaborators of Wenji Piao 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 Wenji Piao. Wenji Piao 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 7
3 8
4 47
5 16
6 30
7 18
8 73
9 34
10 18
11
Reprogramming of TLR4 signaling in endotoxin tolerance: altered IRAK4 and TAK1 activation, K63-linked polyubiquitination and signalosome assembly of IRAK1, TRAF6, IKK{gamma} and increased A20 expression
1
12 1
13 125
14 5
15 66
16 47
17 10
18 14
19 3
20 11

About Wenji Piao

Wenji Piao is a scholar working on Immunology, Cancer Research and Immunology and Allergy, having authored 42 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune Response and Inflammation (20 papers), NF-κB Signaling Pathways (13 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Immunology (1.1k citations), Cancer Research (259 citations) and Hematology (160 citations). Wenji Piao has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Stefanie N. Vogel, Andrei E. Medvedev, Vladimir Y. Toshchakov, Matthew J. Fenton, Sang Hoon Rhee, Larry M. Wahl, Chang Song, Yanbao Xiong, Haiyan Chen and Darren J. Perkins. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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