A. Maghnouj

1.0k total citations · 1 hit paper
8 papers, 855 citations indexed

About

A. Maghnouj is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, A. Maghnouj has authored 8 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Biomedical Engineering. Recurrent topics in A. Maghnouj's work include Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (2 papers) and Ultrasound and Hyperthermia Applications (2 papers). A. Maghnouj is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (2 papers) and Ultrasound and Hyperthermia Applications (2 papers). A. Maghnouj collaborates with scholars based in Germany, United States and Denmark. A. Maghnouj's co-authors include Stephan A. Hahn, Bence Sipos, Timothy Lewis Cannon, J. John, Timothy S. Davison, Emmanuel Labourier, Anna E. Szafranska, Wolff Schmiegel, Jan Kuhnhenn and Uwe Schlegel and has published in prestigious journals such as Cancer Research, Oncogene and British Journal of Cancer.

In The Last Decade

A. Maghnouj

8 papers receiving 841 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.

MicroRNA expression alterations are linked to tumorigenesis and non-neoplastic processes in pancreatic ductal adenocarcinoma

2007 543 citations Anna E. Szafranska, Timothy S. Davison et al. Oncogene profile →

Peers

A. Maghnouj

MB

CR

ONCOL

SURGE

GENET

Gregory Foltz United States

Vera Mucaj United States

Hai Yu China

Lucilla Bongiorno‐Borbone Italy

Nadine Abu-Kaoud Qatar

Jason Jung United States

Lukasz Marcinkiewicz United States

Yunqing Li China

M Bennett United States

Laura Hasselbach United States

Gregory Foltz United States

A. Maghnouj

546 ×0.8

MB

337 ×0.5

CR

261 ×1.3

ONCOL

37 ×0.5

SURGE

142 ×3.0

GENET

Citations per year, relative to A. Maghnouj A. Maghnouj (= 1×) peers Gregory Foltz

Countries citing papers authored by A. Maghnouj

Since Specialization

Citations

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

Fields of papers citing papers by A. Maghnouj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Maghnouj

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Yosef, Hesham K., et al.. (2018). Exploring the efficacy and cellular uptake of sorafenib in colon cancer cells by Raman micro-spectroscopy. The Analyst. 143(24). 6069–6078. 13 indexed citations

2.

Baraniskin, Alexander, Jan Kuhnhenn, Uwe Schlegel, et al.. (2011). Identification of microRNAs in the cerebrospinal fluid as biomarker for the diagnosis of glioma. Neuro-Oncology. 14(1). 29–33. 169 indexed citations

3.

Birkenkamp‐Demtröder, Karin, A. Maghnouj, Francisco Mansilla, et al.. (2011). Repression of KIAA1199 attenuates Wnt-signalling and decreases the proliferation of colon cancer cells. British Journal of Cancer. 105(4). 552–561. 97 indexed citations

4.

Birkenkamp‐Demtröder, Karin, A. Maghnouj, Francisco Mansilla, et al.. (2010). Abstract 4678: KIAA1199 depletion targets the wnt/beta catenin signaling pathway and impairs migration and proliferation of human colon cancer cells. Cancer Research. 70(8_Supplement). 4678–4678. 1 indexed citations

5.

Schmitz, Georg, et al.. (2009). Evaluation of subharmonic emission from encapsulated microbubbles as an indicator for sonoporation of cell monolayers. 22. 19–22. 8 indexed citations

6.

Siepmann, Monica, et al.. (2008). Monitoring and modeling of microbubble behavior during ultrasound mediated transfection of cell monolayers. 1671–1674. 2 indexed citations

7.

Szafranska, Anna E., Timothy S. Davison, J. John, et al.. (2007). MicroRNA expression alterations are linked to tumorigenesis and non-neoplastic processes in pancreatic ductal adenocarcinoma. Oncogene. 26(30). 4442–4452. 543 indexed citations breakdown →

8.

Mhatre, Anand N., Yan Li, Graham Atkin, A. Maghnouj, & Anil K. Lalwani. (2006). Expression of Myh9 in the mammalian cochlea: Localization within the stereocilia. Journal of Neuroscience Research. 84(4). 809–818. 22 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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