Christine Lukacs

7.7k citations
35 papers · 5.3k indexed · 1 hit paper · h-index 21

Christine Lukacs

34 papers receiving 5.2k citations

Hit Papers

In Vivo Activation of the p53 Pathway by Small-Molecule A...3.7k200420262011201810002.0k3.0k

Peers

Christine Lukacs
Comparison fields: 5 of 100
  • Oncology 2.5k
  • Molecular Biology 3.9k
  • Biotechnology 401
  • Cancer Research 637
  • Cell Biology 484
Replace Tona M. Gilmer with:
Tona M. Gilmer United States
Patrick Chêne Switzerland
Emily A. Liu United States
Adrian M. Senderowicz United States
Alex N. Bullock United Kingdom
Kathryn Packman United States
David Heimbrook United States
Binh Thanh Vu Vietnam
Yuval Reiss Israel
Zoran Filipovic United States
Christine Lukacs relative to Tona M. Gilmer United States Tona M. Gilmer's profile →
Citations per field
00.5×
Tona M. Gilmer · 1×
Citations per year

Countries citing papers authored by Christine Lukacs

Since Specialization
Citations

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

Fields of papers citing papers by Christine Lukacs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202048
3 202091
4 201917
5 201962
6 201935
7 2019122
8 20155
9 2014222
10 201348
11 201214
12 201120
13 201011
14
Design, synthesis of 1,4-cyclohexyldiamine substituted diaminopyrimidines as selective inhibitors of CDK1, CDK2 and CDK4 and their in vitro and in vivo evaluation
20051
15
In Vivo Activation of the p53 Pathway by Small-Molecule Antagonists of MDM2breakdown →
20043722
16 200325
17 200089
18 199856
19 199631
20 199611

About Christine Lukacs

Christine Lukacs is a scholar working on Clinical Biochemistry, Molecular Biology and Cancer Research, having authored 35 papers that have together received 5.3k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (6 papers), Metabolism and Genetic Disorders (5 papers), Cancer-related Molecular Pathways (5 papers), Ubiquitin and proteasome pathways (4 papers), Protease and Inhibitor Mechanisms (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Enzyme Structure and Function (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Oncology (2.5k citations), Molecular Biology (3.9k citations) and Biotechnology (401 citations). Christine Lukacs has collaborated with scholars based in United States, Switzerland and Hungary. Frequent co-authors include Bradford Graves, U. Kammlott, Christian Klein, Binh Thanh Vu, Daisy Carvajal, Nader Fotouhi, Frank Podlaski, Zoran Filipovic, Emily A. Liu and Norman Kong. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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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