Ting-Lei Gu

6.3k citations
12 papers · 2.1k indexed · 2 hit papers · h-index 12
Topics
Acute Myeloid Leukemia Research (5 papers)Fibroblast Growth Factor Research (3 papers)Genomics and Chromatin Dynamics (3 papers)

In The Last Decade

Ting-Lei Gu

12 papers receiving 2.1k citations

Hit Papers

Tyrosine Phosphorylation Inhibits PKM2 to Promote...199620262006201620091996200400600

Peers

Ting-Lei Gu
Comparison fields: 5 of 84
  • Molecular Biology 1.6k
  • Cancer Research 714
  • Hematology 513
  • Immunology 286
  • Oncology 277
Replace Shannon Elf with:
Shannon Elf United States
Wen-Mei Yu United States
Ting‐Lei Gu United States
Mark A. Gregory United States
Kian Leong Lee Singapore
Ingrid J. Apel United States
Lorraine Lipfert United States
Tammy L. Moser United States
Thomas Oellerich Germany
Steven J. Freedman United States
Ting-Lei Gu relative to Shannon Elf United States Shannon Elf's profile →
Citations per field
00.5×1.5×
Shannon Elf · 1×
Citations per year

Countries citing papers authored by Ting-Lei Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ting-Lei Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting-Lei Gu. 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 Ting-Lei Gu. The network helps show where Ting-Lei Gu may publish in the future.

Co-authorship network of co-authors of Ting-Lei Gu

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 44
2 262
3
Tyrosine Phosphorylation Inhibits PKM2 to Promote the Warburg Effect and Tumor Growthbreakdown →
618
4 50
5 117
6 85
7 35
8 47
9 63
10 121
11 132
12
The CBFβ Subunit Is Essential for CBFα2 (AML1) Function In Vivobreakdown →
532

About Ting-Lei Gu

Ting-Lei Gu is a scholar working on Hematology, Genetics and Cancer Research, having authored 12 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Fibroblast Growth Factor Research (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Cancer Research (714 citations), Hematology (513 citations) and Molecular Biology (1.6k citations). Ting-Lei Gu has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Nancy A. Speck, Roberto D. Polakiewicz, Tamara L. Goetz, Barbara J. Graves, Sumin Kang, Sagar Lonial, Fadlo R. Khuri, Taro Hitosugi, Johannes Roesel and Titus J. Boggon. Their work appears in journals such as Cell, Journal of Biological Chemistry and The EMBO Journal.

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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