Ping Xie

6.8k citations
163 papers · 5.1k indexed · h-index 39

Impact in

    • NF-κB Signaling Pathways
  • Immunology top 2%
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

    • NF-κB Signaling Pathways 31
    • interferon and immune responses 17
    • Immune Response and Inflammation 16

Ping Xie

162 papers receiving 5.1k citations

Peers

Ping Xie
Comparison fields: 5 of 144
  • Cancer Research 1.4k
  • Immunology 1.4k
  • Molecular Biology 2.7k
  • Oncology 1.0k
  • Neurology 184
Replace Ming Shi with:
Ming Shi China
Yulin Li China
Frank G. Ondrey United States
Dawei Zhang China
David L. Boyle United States
Shusheng Wang United States
Li Cao China
Heidi Noels Germany
Patrick Fitzgerald United States
Quan Cheng China
Ping Xie relative to Ming Shi China Ming Shi's profile →
Citations per field
00.5×2.7×
Ming Shi · 1×
Citations per year

Countries citing papers authored by Ping Xie

Since Specialization
Citations

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

Fields of papers citing papers by Ping Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202413
3 20232
4 202218
5 202213
6 202113
7 202126
8
LINC02381 Promoted Cell Viability and Migration via Targeting miR-133b in Cervical Cancer Cells
20201
9 202017
10 201915
11 201989
12 2017173
13 201646
14
MUM-1 expression differentiates AITL with HRS-like cells from cHL.
20151
15 201419
16 20071
17 200687
18 200130
19 200192
20 2000124

About Ping Xie

Ping Xie is a scholar working on Cancer Research, Immunology, Molecular Biology, Biochemistry and Oncology, having authored 163 papers that have together received 5.1k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (31 papers), Ubiquitin and proteasome pathways (21 papers), interferon and immune responses (17 papers), Immune Response and Inflammation (16 papers), Cancer-related gene regulation (12 papers), Cell death mechanisms and regulation (11 papers), Epigenetics and DNA Methylation (11 papers) and Cancer-related Molecular Pathways (10 papers). The work is most often cited by research in Cancer Research (1.4k citations), Immunology (1.4k citations), Molecular Biology (2.7k citations), Oncology (1.0k citations) and Neurology (184 citations). Ping Xie has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Gail A. Bishop, Lingqiang Zhang, Laura L. Stunz, Fuchu He, Carissa Moore, Bruce S. Hostager, Zachary Kraus, Guichun Xing, Samantha Gokhale and Sining Zhu. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Journal of Asian Natural Products Research, Biochemical and Biophysical Research Communications and Tetrahedron Letters.

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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