Ling-Mei Wang

1.5k total citations · 1 hit paper
9 papers, 1.3k citations indexed

About

Ling-Mei Wang is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Ling-Mei Wang has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Surgery and 1 paper in Genetics. Recurrent topics in Ling-Mei Wang's work include Metabolism, Diabetes, and Cancer (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Ling-Mei Wang is often cited by papers focused on Metabolism, Diabetes, and Cancer (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Ling-Mei Wang collaborates with scholars based in United States, Switzerland and Taiwan. Ling-Mei Wang's co-authors include Morris F. White, Martin G. Myers, Lynne Yenush, Erin Glasheen, Yitao Zhang, Jacalyn H. Pierce, Xiao‐Jian Sun, Stuart A. Aaronson, Deborah J. Burks and Sebastián Pons and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Ling-Mei Wang

9 papers receiving 1.3k citations

Hit Papers

Role of IRS-2 in insulin and cytokine signalling 1995 2026 2005 2015 1995 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Role of IRS-2 in insulin and cytokine signalling
    1995 701 citations Ling-Mei Wang, Yitao Zhang et al. Nature profile →

Peers

Ling-Mei Wang
Steven B. Waters United States
B L Seely United States
I D Goldfine United States
Monique Yoakim United States
PETER G. H. BYFIELD United Kingdom
Andrea Kauffmann-Zeh United Kingdom
Daniel L. Altschuler United States
Anja Krones‐Herzig Germany
Giuliana Pelicci Italy
Bernhard Pilz Germany
Steven B. Waters United States
Ling-Mei Wang
Citations per year, relative to Ling-Mei Wang Ling-Mei Wang (= 1×) peers Steven B. Waters

Countries citing papers authored by Ling-Mei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ling-Mei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling-Mei Wang. 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 Ling-Mei Wang. The network helps show where Ling-Mei Wang may publish in the future.

Co-authorship network of co-authors of Ling-Mei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ling-Mei Wang. A scholar is included among the top collaborators of Ling-Mei Wang 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 Ling-Mei Wang. Ling-Mei Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Ko, Ching-Huai, et al.. (2013). Differential Proteomic Analysis of Cancer Stem Cell Properties in Hepatocellular Carcinomas by Isobaric Tag Labeling and Mass Spectrometry. Journal of Proteome Research. 12(8). 3573–3585. 14 indexed citations
2.
Chaika, Oleg V., Nina V. Chaika, Deanna J. Volle, et al.. (1999). Mutation of Tyrosine 960 within the Insulin Receptor Juxtamembrane Domain Impairs Glucose Transport but Does Not Inhibit Ligand-mediated Phosphorylation of Insulin Receptor Substrate-2 in 3T3-L1 Adipocytes. Journal of Biological Chemistry. 274(17). 12075–12080. 11 indexed citations
3.
Tang, Careen K., D. Goldstein, Frank Czubayko, et al.. (1998). ErbB-4 ribozymes abolish neuregulin-induced mitogenesis.. PubMed. 58(15). 3415–22. 18 indexed citations
4.
Sun, Xiao‐Jian, Sebastián Pons, Ling-Mei Wang, et al.. (1997). The IRS-2 Gene on Murine Chromosome 8 Encodes a Unique Signaling Adapter for Insulin and Cytokine Action. Molecular Endocrinology. 11(2). 251–262. 117 indexed citations
5.
Wang, Ling-Mei, Yitao Zhang, Lynne Yenush, et al.. (1995). Role of IRS-2 in insulin and cytokine signalling. Nature. 377(6545). 173–177. 701 indexed citations breakdown →
6.
Wang, Ling-Mei, Martin G. Myers, Xiao‐Jian Sun, et al.. (1993). IRS-1: Essential for Insulin- and IL-4-Stimulated Mitogenesis in Hematopoietic Cells. Science. 261(5128). 1591–1594. 375 indexed citations
7.
Choudhury, Goutam Ghosh, Victor L. Sylvia, Ling-Mei Wang, J.E. Pierce, & Alan Y. Sakaguchi. (1991). The kinase insert domain of colony stimulating factor‐1 receptor is dispensable for CSF‐1 induced phosphatidylcholine hydrolysis. FEBS Letters. 282(2). 351–354. 17 indexed citations
8.
Choudhury, Goutam Ghosh, et al.. (1990). Human colony stimulating factor-1 receptor activates the C-raf-1 proto-oncogene kinase. Biochemical and Biophysical Research Communications. 172(1). 154–159. 16 indexed citations
9.
Sakaguchi, Alan Y., P.A. Lalley, Goutam Ghosh Choudhury, et al.. (1989). Mouse melanoma growth stimulatory activity gene (Mgsa) is polymorphic and syntenic with the W, patch, Rumpwhite, and recessive spotting loci on chromosome 5. Genomics. 5(3). 629–632. 10 indexed citations

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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