Ling-Mei Wang

1.5k citations
9 papers · 1.3k indexed · 1 hit paper · h-index 9
Topics
Metabolism, Diabetes, and Cancer (3 papers)Glycosylation and Glycoproteins Research (2 papers)Protein Kinase Regulation and GTPase Signaling (2 papers)

In The Last Decade

Ling-Mei Wang

9 papers receiving 1.3k citations

Hit Papers

Role of IRS-2 in insulin and cytokine signalling19952026200520151995200400600

Peers

Ling-Mei Wang
Comparison fields: 5 of 72
  • Molecular Biology 876
  • Endocrinology, Diabetes and Metabolism 269
  • Oncology 262
  • Immunology 246
  • Surgery 234
Replace Steven B. Waters with:
Steven B. Waters United States
Monique Yoakim United States
I D Goldfine United States
Anja Krones‐Herzig Germany
Szabolcs Fátrai Netherlands
Axelle Cadoret France
B L Seely United States
PETER G. H. BYFIELD United Kingdom
Daniel L. Altschuler United States
Simone Clamens France
Ling-Mei Wang relative to Steven B. Waters United States Steven B. Waters's profile →
Citations per field
00.5×1.5×1.9×
Steven B. Waters · 1×
Citations per year

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
#WorkIndexed citations
1 14
2 11
3
ErbB-4 ribozymes abolish neuregulin-induced mitogenesis.
18
4 117
5
Role of IRS-2 in insulin and cytokine signallingbreakdown →
701
6 375
7 17
8 16
9 10

About Ling-Mei Wang

Ling-Mei Wang is a scholar working on Molecular Biology, Biotechnology and Genetics, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (269 citations), Molecular Biology (876 citations) and Immunology (246 citations). Ling-Mei Wang has collaborated with scholars based in United States, Switzerland and Taiwan. Frequent 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. Their work appears in journals such as Nature, Science and Journal of Biological Chemistry.

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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