Que T. Lambert

2.0k citations
21 papers · 1.7k · h-index 17

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 9
    • Cell death mechanisms and regulation 5
    • Protein Degradation and Inhibitors 2
    • Retinoids in leukemia and cellular processes 2
    • Kruppel-like factors research 2
    • Cytokine Signaling Pathways and Interactions 4
    • Cancer-related Molecular Pathways 3

Que T. Lambert

21 papers receiving 1.7k citations

Peers

Que T. Lambert
Comparison fields: 5 of 76
  • Cell Biology 462
  • Immunology and Allergy 136
  • Molecular Biology 1.3k
  • Oncology 441
  • Hematology 130
Replace W. Michael Kavanaugh with:
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Citations per field
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Citations per year

Countries citing papers authored by Que T. Lambert

Since Specialization
Citations

This map shows the geographic impact of Que T. Lambert'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 Que T. Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Que T. Lambert more than expected).

Fields of papers citing papers by Que T. Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Que T. Lambert. 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 Que T. Lambert. The network helps show where Que T. Lambert may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997399
2 2002273
3 1996136
4 2001107
5 1999102
6 2001101
7 200096
8 200283
9 199882
10 200458
11 200752
12 200846
13 201745
14 201531
15 199827
16 201026
17 201021
18 20118
19 20066
20 20141

About Que T. Lambert

Que T. Lambert is a scholar working on Molecular Biology, Oncology, Genetics, Pathology and Forensic Medicine and Hematology, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (9 papers), Cell death mechanisms and regulation (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Cancer-related Molecular Pathways (3 papers), Protein Degradation and Inhibitors (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Cell Biology (462 citations), Immunology and Allergy (136 citations), Molecular Biology (1.3k citations), Oncology (441 citations) and Hematology (130 citations). Que T. Lambert has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Channing J. Der, Gary W. Reuther, John Westwick, Marc Symons, Richard G. Pestell, Geoffrey Clark, Linda Van Aelst, Michael A. Caligiuri, John Sondek and David P. Siderovski. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Biochemical Journal, Journal of Virology and Molecular Cancer Therapeutics.

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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