Smiths Lueong

885 total citations
28 papers, 469 citations indexed

About

Smiths Lueong is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Smiths Lueong has authored 28 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Smiths Lueong's work include Cancer Genomics and Diagnostics (11 papers), RNA modifications and cancer (5 papers) and Trypanosoma species research and implications (5 papers). Smiths Lueong is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), RNA modifications and cancer (5 papers) and Trypanosoma species research and implications (5 papers). Smiths Lueong collaborates with scholars based in Germany, Cameroon and United States. Smiths Lueong's co-authors include Jörg D. Hoheisel, Esteban Erben, Christine Clayton, Abeer Fadda, Clémentine Mercé, Bernd Fischer, Jens T. Siveke, Gustave Simo, Péter Horn and G Cuny and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Smiths Lueong

27 papers receiving 464 citations

Peers

Smiths Lueong
Elizabeth S. Bruinsma United States
Fernanda Giménez United States
Maarten Bijl Netherlands
Alice Mayer Belgium
Julia T. Warren United States
Jinu Abraham United States
Elizabeth S. Bruinsma United States
Smiths Lueong
Citations per year, relative to Smiths Lueong Smiths Lueong (= 1×) peers Elizabeth S. Bruinsma

Countries citing papers authored by Smiths Lueong

Since Specialization
Citations

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

Fields of papers citing papers by Smiths Lueong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Smiths Lueong

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

All Works

20 of 20 papers shown
1.
Zhao, Ben, Rui Fang, Hendrik Schürmann, et al.. (2025). PLK1 blockade enhances the anti-tumor effect of MAPK inhibition in pancreatic ductal adenocarcinoma. Cell Reports. 44(4). 115541–115541. 1 indexed citations
2.
Metzenmacher, Martin, Fabian Doerr, Servet Bölükbas, et al.. (2025). BCL-B Promotes Lung Cancer Invasiveness by Direct Inhibition of BOK. Cells. 14(4). 246–246. 1 indexed citations
3.
Schüler, Martin, J. Hense, Kaid Darwiche, et al.. (2024). Early Metabolic Response by PET Predicts Sensitivity to Next-Line Targeted Therapy inEGFR-Mutated Lung Cancer with Unknown Mechanism of Acquired Resistance. Journal of Nuclear Medicine. 65(6). 851–855. 3 indexed citations
4.
Metzenmacher, Martin, Marija Trajkovic‐Arsic, Phyllis F. Cheung, et al.. (2024). Minimally invasive determination of pancreatic ductal adenocarcinoma ( PDAC ) subtype by means of circulating cell‐free RNA. Molecular Oncology. 19(2). 357–376. 2 indexed citations
5.
Lueong, Smiths, Jules Roger Kuiaté, Gustave Simo, et al.. (2024). Abstract 3929: Comparative genomics of breast cancer in indigenous African and western populations first results from the E-Predict study. Cancer Research. 84(6_Supplement). 3929–3929.
6.
Metzenmacher, Martin, Smiths Lueong, Marcel Wiesweg, et al.. (2024). Comprehensive biomarker diagnostics of unfavorable cancer of unknown primary to identify patients eligible for precision medical therapies. European Journal of Cancer. 200. 113540–113540. 2 indexed citations
7.
Njouendou, Abdel Jélil, et al.. (2023). SOX2 dosage sustains tumor-promoting inflammation to drive disease aggressiveness by modulating the FOSL2/IL6 axis. Molecular Cancer. 22(1). 52–52. 16 indexed citations
8.
Griewank, Klaus, Smiths Lueong, Nils von Neuhoff, et al.. (2022). Circulating cell‐free messenger RNA enables non‐invasive pan‐tumour monitoring of melanoma therapy independent of the mutational genotype. Clinical and Translational Medicine. 12(11). e1090–e1090. 20 indexed citations
9.
Metzenmacher, Martin, Balázs Hegedűs, Jan Förster, et al.. (2021). Combined multimodal ctDNA analysis and radiological imaging for tumor surveillance in Non-small cell lung cancer. Translational Oncology. 15(1). 101279–101279. 13 indexed citations
10.
Metzenmacher, Martin, Renáta Váraljai, Balázs Hegedűs, et al.. (2020). Plasma Next Generation Sequencing and Droplet Digital-qPCR-Based Quantification of Circulating Cell-Free RNA for Noninvasive Early Detection of Cancer. Cancers. 12(2). 353–353. 29 indexed citations
11.
Simo, Gustave, et al.. (2020). The TP63 Gene Polymorphism rs17506395 is Associated with Early Breast Cancer in Cameroon. Asian Pacific Journal of Cancer Prevention. 21(8). 2199–2208. 4 indexed citations
12.
Zhao, Ben, Jiangning Gu, Marija Trajkovic‐Arsic, et al.. (2020). TFEB-mediated lysosomal biogenesis and lysosomal drug sequestration confer resistance to MEK inhibition in pancreatic cancer. Cell Death Discovery. 6(1). 33 indexed citations
13.
Váraljai, Renáta, Smiths Lueong, Kilian Wistuba‐Hamprecht, et al.. (2020). The predictive and prognostic significance of cell‐free DNA concentration in melanoma. Journal of the European Academy of Dermatology and Venereology. 35(2). 387–395. 17 indexed citations
14.
Lueong, Smiths, Martina Willhauck‐Fleckenstein, Agnes Hotz‐Wagenblatt, et al.. (2018). Immunoprofiling of Chlamydia trachomatis using whole-proteome microarrays generated by on-chip in situ expression. Scientific Reports. 8(1). 7503–7503. 18 indexed citations
15.
Siveke, Jens T., Smiths Lueong, Axel Hinke, et al.. (2018). Serial analysis of mutant KRAS in circulation cell-free DNA (cfDNA) of patients with KRAS mutant metastatic colorectal cancer: A translational study of the KRK0207 trial.. Journal of Clinical Oncology. 36(15_suppl). e15599–e15599. 2 indexed citations
16.
Aglago, Elom K., et al.. (2017). Molecular characterization of lower vaginal swabs for Human papilloma virus in association with Chlamydia trachomatis infection in Cameroonian Women. Journal of Infection and Public Health. 11(3). 314–320. 8 indexed citations
17.
Lueong, Smiths, et al.. (2017). Personalised proteome analysis by means of protein microarrays made from individual patient samples. Scientific Reports. 7(1). 39756–39756. 14 indexed citations
19.
Erben, Esteban, Abeer Fadda, Smiths Lueong, Jörg D. Hoheisel, & Christine Clayton. (2014). A Genome-Wide Tethering Screen Reveals Novel Potential Post-Transcriptional Regulators in Trypanosoma brucei. PLoS Pathogens. 10(6). e1004178–e1004178. 90 indexed citations
20.
Simo, Gustave, Flobert Njiokou, Smiths Lueong, et al.. (2009). Population genetic structure of Central African Trypanosoma brucei gambiense isolates using microsatellite DNA markers. Infection Genetics and Evolution. 10(1). 68–76. 32 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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