Samir Lababidi

6.8k total citations · 1 hit paper
38 papers, 2.7k citations indexed

About

Samir Lababidi is a scholar working on Molecular Biology, Cancer Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Samir Lababidi has authored 38 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Samir Lababidi's work include Gene expression and cancer classification (7 papers), Nutritional Studies and Diet (6 papers) and Diet and metabolism studies (6 papers). Samir Lababidi is often cited by papers focused on Gene expression and cancer classification (7 papers), Nutritional Studies and Diet (6 papers) and Diet and metabolism studies (6 papers). Samir Lababidi collaborates with scholars based in United States, Canada and Egypt. Samir Lababidi's co-authors include John N. Weinstein, Kimberly J. Bussey, William C. Reinhold, May D. Wang, Weimin Feng, Barry R. Zeebèrg, David W. Kane, Anthony T. Fojo, Margot Sunshine and Joseph Riss and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Cancer Cell.

In The Last Decade

Samir Lababidi

36 papers receiving 2.7k citations

Hit Papers

GoMiner: a resource for biological interpretation of geno... 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Samir Lababidi United States 19 1.8k 630 440 351 149 38 2.7k
José M. Silva Spain 30 2.6k 1.4× 744 1.2× 756 1.7× 475 1.4× 146 1.0× 55 3.8k
Kimberly J. Bussey United States 25 2.4k 1.3× 768 1.2× 632 1.4× 327 0.9× 204 1.4× 45 3.5k
William J. Zuercher United States 30 1.6k 0.9× 418 0.7× 198 0.5× 442 1.3× 181 1.2× 88 3.2k
Bin Chen China 30 1.6k 0.9× 489 0.8× 578 1.3× 147 0.4× 97 0.7× 137 2.8k
P. Loppnau Canada 28 2.1k 1.1× 361 0.6× 230 0.5× 160 0.5× 150 1.0× 54 2.7k
Hua Su China 31 1.4k 0.8× 298 0.5× 486 1.1× 231 0.7× 172 1.2× 85 2.7k
Alessandro Datti Canada 36 2.7k 1.5× 812 1.3× 618 1.4× 201 0.6× 339 2.3× 97 4.1k
Peh Yean Cheah Singapore 27 1.5k 0.8× 612 1.0× 638 1.4× 214 0.6× 86 0.6× 55 2.3k
Cindy H. Chau United States 28 1.1k 0.6× 808 1.3× 473 1.1× 195 0.6× 75 0.5× 73 2.8k
D. Joshua Liao United States 27 1.6k 0.9× 640 1.0× 663 1.5× 376 1.1× 125 0.8× 111 2.6k

Countries citing papers authored by Samir Lababidi

Since Specialization
Citations

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

Fields of papers citing papers by Samir Lababidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samir Lababidi

This figure shows the co-authorship network connecting the top 25 collaborators of Samir Lababidi. A scholar is included among the top collaborators of Samir Lababidi 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 Samir Lababidi. Samir Lababidi 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.
Gong, Binsheng, Samir Lababidi, Rebecca Kusko, et al.. (2024). Towards accurate indel calling for oncopanel sequencing through an international pipeline competition at precisionFDA. Scientific Reports. 14(1). 8165–8165.
2.
Krusche, Peter, Len Trigg, Paul C. Boutros, et al.. (2019). Best practices for benchmarking germline small-variant calls in human genomes. Nature Biotechnology. 37(5). 555–560. 182 indexed citations
3.
McGarvey, Peter B., Barış Ethem Süzek, James N. Baraniuk, et al.. (2014). In silico analysis of autoimmune diseases and genetic relationships to vaccination against infectious diseases. BMC Immunology. 15(1). 61–61. 17 indexed citations
4.
Yousef, Waleed A., Brandon D. Gallas, Samir Lababidi, et al.. (2011). Uncertainty estimation with a finite dataset in the assessment of classification models. Computational Statistics & Data Analysis. 56(5). 1016–1027. 3 indexed citations
5.
Zhang, Jing, Martin Sattler, Giovanni Tonon, et al.. (2009). Targeting Angiogenesis via a c-Myc/Hypoxia-Inducible Factor-1α–Dependent Pathway in Multiple Myeloma. Cancer Research. 69(12). 5082–5090. 76 indexed citations
7.
Lababidi, Samir. (2007). Challenges in DNA Microarray Studies from the Regulatory Perspective. Journal of Biopharmaceutical Statistics. 18(1). 183–202. 2 indexed citations
8.
Heilbrun, Lance K., et al.. (2006). Women Participating in a Dietary Intervention Trial Maintain Dietary Changes Without Much Effect on Household Members. Nutrition and Cancer. 55(1). 44–52. 19 indexed citations
9.
Szakács, Gergely, Samir Lababidi, Uma Shankavaram, et al.. (2004). Predicting drug sensitivity and resistance. Cancer Cell. 6(2). 129–137. 436 indexed citations
10.
Djurić, Zora, Samir Lababidi, Virginia Uhley, & Lance K. Heilbrun. (2004). Levels of 5-hydroxymethyl-2′-deoxyuridine in DNA from women participating in an intervention trial of low-fat and low-energy diets. Biomarkers. 9(1). 93–101. 5 indexed citations
11.
12.
Zeebèrg, Barry R., Weimin Feng, May D. Wang, et al.. (2003). GoMiner: a resource for biological interpretation of genomic and proteomic data. Genome biology. 4(4). R28–R28. 963 indexed citations breakdown →
13.
Lee, Jae K., Kimberly J. Bussey, Fuad G. Gwadry, et al.. (2003). Comparing cDNA and oligonucleotide array data: concordance of gene expression across platforms for the NCI-60 cancer cells. Genome biology. 4(12). R82–R82. 85 indexed citations
14.
Djurić, Zora, Virginia Uhley, Samir Lababidi, et al.. (2002). Methods to Increase Fruit and Vegetable Intake With and Without a Decrease in Fat Intake: Compliance and Effects on Body Weight in the Nutrition and Breast Health Study. Nutrition and Cancer. 43(2). 141–151. 55 indexed citations
15.
Heilbrun, Lance K., et al.. (2002). Effect of participant motivation on rapid dietary changes in an intervention trial. Journal of Human Nutrition and Dietetics. 15(3). 211–214. 3 indexed citations
16.
Simon, Michael S., et al.. (2001). Comparison of Dietary Assessment Methods in a Low-Fat Dietary Intervention Program. Nutrition and Cancer. 40(2). 108–117. 6 indexed citations
17.
Simon, Michael S., et al.. (2000). Recruitment for a Pilot Case Control Study of Oxidative DNA Damage and Breast Cancer Risk. American Journal of Clinical Oncology. 23(3). 283–287. 3 indexed citations
18.
Uhley, Virginia, et al.. (1999). A Clinical Trial to Selectively Change Dietary Fat and/or Energy Intake in Women: The Women's Diet Study. Nutrition and Cancer. 34(1). 27–35. 17 indexed citations
19.
Djurić, Zora, et al.. (1998). Oxidative DNA Damage Levels in Blood from Women at High Risk for Breast Cancer are Associated with Dietary intakes of Meats, Vegetables, and Fruits. Journal of the American Dietetic Association. 98(5). 524–528. 47 indexed citations
20.

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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