Ahmad Barghash

773 total citations
20 papers, 424 citations indexed

About

Ahmad Barghash is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Ahmad Barghash has authored 20 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Epidemiology. Recurrent topics in Ahmad Barghash's work include RNA modifications and cancer (5 papers), Machine Learning in Bioinformatics (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Ahmad Barghash is often cited by papers focused on RNA modifications and cancer (5 papers), Machine Learning in Bioinformatics (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Ahmad Barghash collaborates with scholars based in Jordan, Germany and Austria. Ahmad Barghash's co-authors include Volkhard Helms, Sonja M. Kessler, Johannes Haybaeck, Alexandra K. Kiemer, Charlotte Dahlem, Claudia Fecher‐Trost, Nicole Golob‐Schwarzl, Stephan Laggai, Jessica Hoppstädter and Marcus Koch and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Hepatology.

In The Last Decade

Ahmad Barghash

20 papers receiving 414 citations

Peers

Countries citing papers authored by Ahmad Barghash

Since Specialization

Citations

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

Fields of papers citing papers by Ahmad Barghash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmad Barghash

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Differential exon usage of developmental genes is associated with deregulated epigenetic marks 2023 ·Scientific Reports ·(unknown), (unknown), Ahmad Barghash, Volkhard Helms	4
2	A Multi-Stage Ensemble Neural Network for Accurate Differentiation Between False and Real Alarms in Quality Control Charts 2022 ·International journal of intelligent engineering and systems ·(unknown), Mahmoud A. Barghash, Ahmad Barghash, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	1
3	Drug Discovery of Plausible Lead Natural Compounds That Target the Insulin Signaling Pathway: Bioinformatics Approaches 2022 ·Evidence-based Complementary and Alternative Medicine ·(unknown), (unknown), Ahmad Barghash, Sleman Kadan, (unknown), (unknown)	13
4	Is the proteomic composition of the salivary pellicle dependent on the substrate material? 2022 ·PROTEOMICS - CLINICAL APPLICATIONS ·(unknown), (unknown), Claudia Fecher‐Trost, Ahmad Barghash, Johanna Dudek, Veit Flockerzi, Volkhard Helms, (unknown)	13
5	Regulation of NEAT1 in NAFLD by RNA-binding proteins 2022 ·Journal of Hepatology ·(unknown), Ahmad Barghash, Shinichi Nakagawa, Alexandra K. Kiemer, Sonja M. Kessler	1
6	Traditional vs. Modern Data Paths: A Comprehensive Survey 2022 ·Computers ·Ahmad Barghash, (unknown), Ammar Gharaibeh	1
7	Deep Proteomic Insights into the Individual Short‐Term Pellicle Formation on Enamel—An In Situ Pilot Study 2020 ·PROTEOMICS - CLINICAL APPLICATIONS ·(unknown), (unknown), Claudia Fecher‐Trost, Ahmad Barghash, (unknown), Johanna Dudek, (unknown), Volkhard Helms, (unknown)	25
8	Utilizing Convolutional Neural Networks for Image Classification and Securing Mobility of People With Physical and Mental Disabilities in Cloud Systems 2020 ·IEEE Access ·(unknown), (unknown), (unknown), Ahmad Barghash	5
9	The Insulin-Like Growth Factor 2 mRNA Binding Protein IMP2/IGF2BP2 is Overexpressed and Correlates with Poor Survival in Pancreatic Cancer 2019 ·International Journal of Molecular Sciences ·Charlotte Dahlem, Ahmad Barghash, (unknown), Johannes Haybaeck, Sonja M. Kessler	58
10	The mRNA-binding Protein TTP/ZFP36 in Hepatocarcinogenesis and Hepatocellular Carcinoma 2019 ·Cancers ·(unknown), Sonja M. Kessler, (unknown), Markus List, Ahmad Barghash, Sonika Patial, Stephan Laggai, Katja Gemperlein, Johannes Haybaeck, Rolf Müller, Volkhard Helms, Marcel H. Schulz, Jessica Hoppstädter, Perry J. Blackshear, Alexandra K. Kiemer	18
11	Toll-Like Receptor 2 Release by Macrophages: An Anti-inflammatory Program Induced by Glucocorticoids and Lipopolysaccharide 2019 ·Frontiers in Immunology ·Jessica Hoppstädter, Anna Dembek, (unknown), Charlotte Dahlem, Ahmad Barghash, Claudia Fecher‐Trost, Gregor Fuhrmann, Marcus Koch, Annette Kraegeloh, Hanno Huwer, Alexandra K. Kiemer	56
12	IGF2 mRNA Binding Protein 2 Transgenic Mice Are More Prone to Develop a Ductular Reaction and to Progress Toward Cirrhosis 2019 ·Frontiers in Medicine ·(unknown), (unknown), Ahmad Barghash, Sascha Tierling, Norbert Naß, (unknown), Christina Körbel, Cristina Cadenas, Noémi Van Hul, Agapios Sachinidis, Jan G. Hengstler, Volkhard Helms, Matthias W. Laschke, Jörn Walter, Johannes Haybaeck, Isabelle Leclercq, Alexandra K. Kiemer, Sonja M. Kessler	16
13	Proteomic Analysis of the Initial Oral Pellicle in Caries‐Active and Caries‐Free Individuals 2018 ·PROTEOMICS - CLINICAL APPLICATIONS ·(unknown), Ahmad Barghash, Claudia Fecher‐Trost, (unknown), Christian Hannig, Jasmin Kirsch, Stefan Rupf, Andreas Keller, Volkhard Helms, (unknown)	32
14	Annotating the Function of Protein-coding Genes Based on Gene Ontology Terms of Neighboring Co-expressed Genes 2018 ·Journal of Proteomics & Bioinformatics ·(unknown), Ahmad Barghash, Volkhard Helms	1
15	Robust Detection of Outlier Samples and Genes in Expression Datasets 2016 ·Journal of Proteomics & Bioinformatics ·Ahmad Barghash, Taner Arslan	7
16	Elevated expression of the IGF2 mRNA binding protein 2 (IGF2BP2/IMP2) is linked to short survival and metastasis in esophageal adenocarcinoma 2016 ·Oncotarget ·Ahmad Barghash, Nicole Golob‐Schwarzl, Volkhard Helms, Johannes Haybaeck, Sonja M. Kessler	45
17	IMP2/p62 induces genomic instability and an aggressive hepatocellular carcinoma phenotype 2015 ·Cell Death and Disease ·Sonja M. Kessler, Stephan Laggai, Ahmad Barghash, (unknown), (unknown), (unknown), Volkhard Helms, Johannes Haybaeck, Alexandra K. Kiemer	63
18	Fatty Acid Elongation in Non-Alcoholic Steatohepatitis and Hepatocellular Carcinoma 2014 ·International Journal of Molecular Sciences ·Sonja M. Kessler, (unknown), Katja Gemperlein, Kathrin Gianmoena, Cristina Cadenas, Vincent Zimmer, (unknown), Ahmad Barghash, Volkhard Helms, Nico van Rooijen, Rainer M. Bohle, Frank Lammert, Jan G. Hengstler, Rolf Mueller, Johannes Haybaeck, Alexandra K. Kiemer	40
19	Transferring functional annotations of membrane transporters on the basis of sequence similarity and sequence motifs 2013 ·BMC Bioinformatics ·Ahmad Barghash, Volkhard Helms	14
20	Role of plasma homocysteine and lipoprotein (a) in coronary artery disease 2004 ·British Journal of Biomedical Science ·(unknown), (unknown), (unknown), Ahmad Barghash, (unknown)	11

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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