Xiao-Ping Xi

1.7k citations
9 papers · 1.5k · h-index 9

Impact in

    • Eicosanoids and Hypertension Pharmacology
    • Peroxisome Proliferator-Activated Receptors
    • Metabolism, Diabetes, and Cancer

Papers in

    • Peroxisome Proliferator-Activated Receptors 4
    • Metabolism, Diabetes, and Cancer 3
    • Angiogenesis and VEGF in Cancer 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • FOXO transcription factor regulation 1
    • Nuclear Receptors and Signaling 2

Xiao-Ping Xi

9 papers receiving 1.5k citations

Peers

Xiao-Ping Xi
Comparison fields: 5 of 79
  • Biochemistry 185
  • Molecular Biology 988
  • Cancer Research 195
  • Immunology and Allergy 76
  • Pharmacology 214
Replace Marilyne Lebret with:
Marilyne Lebret France
Stephan Goetze Germany
Suseela Srinivasan United States
Keyvan Mahboubi United States
Annalisa Iezzi Italy
Hong Pei United States
Mohammed El Mabrouk Canada
Maurizio R. Soma Italy
M Antonucci France
Naoko Iino Japan
Xiao-Ping Xi relative to Marilyne Lebret France Marilyne Lebret's profile →
Citations per field
00.5×1.5×
Marilyne Lebret · 1×
Citations per year

Countries citing papers authored by Xiao-Ping Xi

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Ping Xi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2000401
2 1999335
3 1997206
4 1999174
5 1999146
6 1999121
7 199956
8 199753
9 200031

About Xiao-Ping Xi

Xiao-Ping Xi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Nuclear Receptors and Signaling (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), NF-κB Signaling Pathways (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Biochemistry (185 citations), Molecular Biology (988 citations), Cancer Research (195 citations), Immunology and Allergy (76 citations) and Pharmacology (214 citations). Xiao-Ping Xi has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Ronald E. Law, Willa A. Hsueh, Stephan Goetze, Eckart Fleck, Linda L. Demer, Simon Jackson, Kristof Graf, Yasuko Kawano, Judith A. Berliner and Farhad Parhami. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Arteriosclerosis Thrombosis and Vascular Biology, Hypertension, FEBS Letters and Circulation.

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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