Shaoping Xie

3.4k citations
20 papers · 1.5k · h-index 17

Impact in

    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • RNA modifications and cancer
    • Genomics and Chromatin Dynamics

Papers in

    • Epigenetics and DNA Methylation 2
    • TGF-β signaling in diseases 2
    • Cytokine Signaling Pathways and Interactions 3

Shaoping Xie

20 papers receiving 1.4k citations

Peers

Shaoping Xie
Comparison fields: 5 of 101
  • Molecular Biology 864
  • Cancer Research 154
  • Physiology 253
  • Immunology 176
  • Genetics 222
Replace Xi Shi with:
Xi Shi China
Rebecca Hoffman United States
Olivier Kassel Germany
Christopher Cheadle United States
Gwenn M. Hansen United States
Louis Ercolani United States
Thomas F. Wienker Germany
Podchanart Wanitchakool Germany
Hong Qu China
Tony Roscioli Australia
Shaoping Xie relative to Xi Shi China Xi Shi's profile →
Citations per field
00.5×2.7×
Xi Shi · 1×
Citations per year

Countries citing papers authored by Shaoping Xie

Since Specialization
Citations

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

Fields of papers citing papers by Shaoping Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1999339
2 2002295
3 2017104
4 200795
5 200488
6 200482
7 200779
8 200577
9 200654
10 200936
11 200735
12 200534
13 199433
14 200922
15 201722
16 201721
17 200718
18 202213
19 20028
20
Expression of transforming growth factor- (TGF-) in chronic idiopathic cough
20091

About Shaoping Xie

Shaoping Xie is a scholar working on Molecular Biology, Oncology, Physiology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (4 papers), NF-κB Signaling Pathways (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Epigenetics and DNA Methylation (2 papers), TGF-β signaling in diseases (2 papers), Voice and Speech Disorders (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Molecular Biology (864 citations), Cancer Research (154 citations), Physiology (253 citations), Immunology (176 citations) and Genetics (222 citations). Shaoping Xie has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Kian Fan Chung, Maria B. Sukkar, Razao Issa, En Li, Taiping Chen, Yoshihide Ueda, Ute Oltmanns, Yuan Li, Masaki Okano and Masahiro Nogami. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, American Journal of Respiratory Cell and Molecular Biology, Respiratory Research, Thrombosis and Haemostasis and Clinical Cancer Research.

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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