Abdelkader Selmi

951 total citations · 1 hit paper
6 papers, 760 citations indexed

About

Abdelkader Selmi is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Abdelkader Selmi has authored 6 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Abdelkader Selmi's work include Genomics and Chromatin Dynamics (2 papers), Cancer Cells and Metastasis (2 papers) and Neuroblastoma Research and Treatments (1 paper). Abdelkader Selmi is often cited by papers focused on Genomics and Chromatin Dynamics (2 papers), Cancer Cells and Metastasis (2 papers) and Neuroblastoma Research and Treatments (1 paper). Abdelkader Selmi collaborates with scholars based in France, Italy and United States. Abdelkader Selmi's co-authors include Sandrine Valsesia‐Wittmann, Alain Puisieux, Stéphane Ansieau, Thibault Voeltzel, Benjamin Pierre Bouchet, Frédérique Fauvet, Jérémy Bastid, Claudio Doglioni, Clémence Thomas and Isabelle Puisieux and has published in prestigious journals such as PLoS ONE, Cancer Cell and Genetics.

In The Last Decade

Abdelkader Selmi

6 papers receiving 749 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Induction of EMT by Twist Proteins as a Collateral Effect of Tumor-Promoting Inactivation of Premature Senescence

2008 550 citations Stéphane Ansieau, Jérémy Bastid et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abdelkader Selmi France	6	536	454	171	93	62	6	760
Robert J. Rounbehler United States	12	573 1.1×	302 0.7×	246 1.4×	107 1.2×	68 1.1×	18	737
Hilda Martinez-Diaz United States	4	621 1.2×	253 0.6×	138 0.8×	75 0.8×	55 0.9×	4	755
Rumana Rafiq United Kingdom	7	562 1.0×	425 0.9×	88 0.5×	114 1.2×	45 0.7×	8	759
Silvia Pandolfi Italy	14	676 1.3×	361 0.8×	140 0.8×	41 0.4×	72 1.2×	19	870
Swati Jalgaonkar United States	5	490 0.9×	458 1.0×	236 1.4×	82 0.9×	83 1.3×	7	782
Wai Kei Kwok Hong Kong	6	504 0.9×	279 0.6×	230 1.3×	124 1.3×	34 0.5×	6	702
Oriol Arqués Spain	9	578 1.1×	237 0.5×	126 0.7×	106 1.1×	72 1.2×	11	762
Andrew Capen United States	9	511 1.0×	212 0.5×	89 0.5×	99 1.1×	41 0.7×	19	724
Jennifer Brennan United States	8	867 1.6×	450 1.0×	185 1.1×	43 0.5×	79 1.3×	8	1.1k
Frédérique Fauvet France	6	598 1.1×	514 1.1×	217 1.3×	89 1.0×	170 2.7×	9	909

Countries citing papers authored by Abdelkader Selmi

Since Specialization

Citations

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

Fields of papers citing papers by Abdelkader Selmi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdelkader Selmi

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

All Works

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6 of 6 papers shown

1.

Selmi, Abdelkader, Anne-Catherine Jallas, Michael D. Hogarty, et al.. (2014). TWIST1 is a direct transcriptional target of MYCN and MYC in neuroblastoma. Cancer Letters. 357(1). 412–418. 39 indexed citations

2.

Wang, Jing, Maria Samson, Ruzanna Atoyan, et al.. (2013). Potential Advantages of CUDC-101, a Multitargeted HDAC, EGFR, and HER2 Inhibitor, in Treating Drug Resistance and Preventing Cancer Cell Migration and Invasion. Molecular Cancer Therapeutics. 12(6). 925–936. 68 indexed citations

3.

Idoux‐Gillet, Ysia, Abdelkader Selmi, Christophé Côme, et al.. (2012). Slug Controls Stem/Progenitor Cell Growth Dynamics during Mammary Gland Morphogenesis. PLoS ONE. 7(12). e53498–e53498. 78 indexed citations

4.

Selmi, Abdelkader, et al.. (2012). 284 Slug Controls P-cadherin and Regulates Stem/progenitor Cell Dynamics During Mammary Gland Morphogenesis. European Journal of Cancer. 48. S69–S70. 11 indexed citations

5.

Ansieau, Stéphane, Jérémy Bastid, Benjamin Pierre Bouchet, et al.. (2008). Induction of EMT by Twist Proteins as a Collateral Effect of Tumor-Promoting Inactivation of Premature Senescence. Cancer Cell. 14(1). 79–89. 550 indexed citations breakdown →

6.

Zou, Yanfei, Qun Yu, Xin Bi, et al.. (2006). Histone H1 of Saccharomyces cerevisiae Inhibits Transcriptional Silencing. Genetics. 173(2). 579–587. 14 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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