Ping Wei

1.6k citations
15 papers · 716 · h-index 10

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • IL-33, ST2, and ILC Pathways
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Cell Adhesion Molecules Research

Papers in

Ping Wei

14 papers receiving 708 citations

Peers

Ping Wei
Comparison fields: 5 of 64
  • Immunology 318
  • Immunology and Allergy 49
  • Genetics 184
  • Developmental Neuroscience 20
  • Cancer Research 71
Replace Marc Feldmann with:
Marc Feldmann United Kingdom
Nathalie Uyttersprot Germany
Nicolas Chamberlain United States
Yusheng Chen United States
Rosana González‐Quintial United States
Y C Yang United States
Tesu Lin United States
Graeme O’Boyle United Kingdom
J. Woody Germany
Jan D. Haas Germany
Ping Wei relative to Marc Feldmann United Kingdom Marc Feldmann's profile →
Citations per field
00.5×10×20×26×
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Citations per year

Countries citing papers authored by Ping Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ping Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2003253
2 2004125
3 2003106
4 201546
5 200743
6 200141
7 200935
8 200723
9 201522
10 201512
11 20165
12
[Cloning, expression and characterization of chiral alcohol dehydrogenase from Rhodococcus erythropolis ATCC 4277].
20123
13 20151
14
[Marek's disease virus encoded miRNAs--an update review].
20091
15 20230

About Ping Wei

Ping Wei is a scholar working on Molecular Biology, Epidemiology, Genetics, Immunology and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 716 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (3 papers), Immune Response and Inflammation (3 papers), NF-κB Signaling Pathways (2 papers), Cell Adhesion Molecules Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Inflammatory Bowel Disease (2 papers), Blood disorders and treatments (1 paper) and Fetal and Pediatric Neurological Disorders (1 paper). The work is most often cited by research in Immunology (318 citations), Immunology and Allergy (49 citations), Genetics (184 citations), Developmental Neuroscience (20 citations) and Cancer Research (71 citations). Ping Wei has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xia Luo, Zhuang Li, Margarita Mishina, William G. Ross, Stephen J. Bickston, Charles T. Martin, Theresa T. Pizarro, Sharon B. Hoang, Charles M. Friel and Giorgos Bamias. Their work appears in journals such as Biochemical and Biophysical Research Communications, Molecular Biology of the Cell, Experimental Hematology, Clinical Immunology and Journal of Medical Virology.

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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