Muhammad A. Zabidi

1.1k total citations
10 papers, 662 citations indexed

About

Muhammad A. Zabidi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Muhammad A. Zabidi has authored 10 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Computational Theory and Mathematics. Recurrent topics in Muhammad A. Zabidi's work include RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers) and RNA Research and Splicing (3 papers). Muhammad A. Zabidi is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers) and RNA Research and Splicing (3 papers). Muhammad A. Zabidi collaborates with scholars based in Austria, Malaysia and Indonesia. Muhammad A. Zabidi's co-authors include Alexander Stark, Cosmas D. Arnold, Michaela Pagani, Katharina Schernhuber, Martina Rath, Olga Frank, Tomáš Kazmar, Vanja Haberle, Felix Muerdter and Christoph Neumayr and has published in prestigious journals such as Nature, Nature Biotechnology and Nature Methods.

In The Last Decade

Muhammad A. Zabidi

9 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Muhammad A. Zabidi Austria	5	609	102	86	41	28	10	662
Lucas T. Gray United States	10	883 1.4×	104 1.0×	84 1.0×	37 0.9×	21 0.8×	10	924
Maksim Erokhin Russia	14	527 0.9×	163 1.6×	77 0.9×	48 1.2×	32 1.1×	47	594
Д. В. Копытова Russia	12	506 0.8×	84 0.8×	46 0.5×	30 0.7×	24 0.9×	49	538
Christ Leemans Netherlands	7	623 1.0×	107 1.0×	78 0.9×	24 0.6×	17 0.6×	13	660
Yuanxiao Tang China	5	746 1.2×	209 2.0×	133 1.5×	41 1.0×	26 0.9×	8	799
Raquel Fueyo Spain	9	474 0.8×	168 1.6×	93 1.1×	41 1.0×	30 1.1×	11	524
Yonghu Wu China	5	782 1.3×	214 2.1×	140 1.6×	41 1.0×	31 1.1×	8	822
Vladic Mogila Russia	13	591 1.0×	186 1.8×	84 1.0×	30 0.7×	29 1.0×	28	648
Zhilian Jia China	7	836 1.4×	215 2.1×	154 1.8×	42 1.0×	30 1.1×	9	887
Lori A. Pile United States	19	602 1.0×	96 0.9×	85 1.0×	21 0.5×	30 1.1×	30	702

Countries citing papers authored by Muhammad A. Zabidi

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad A. Zabidi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad A. Zabidi

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

All Works

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10 of 10 papers shown

1.

Zabidi, Muhammad A., et al.. (2024). TRENDS IN IMPLEMENTATION OF TECHNOLOGY USE IN MATHEMATICS EDUCATION ON SCOPUS DATABASE: BIBLIOMETRIC ANALYSIS. 8(1).

2.

Muerdter, Felix, Felix Muerdter, Łukasz M. Boryń, et al.. (2017). qPCR assay to measure ISG expression in human cells. Protocol Exchange. 1 indexed citations

3.

Muerdter, Felix, Felix Muerdter, Łukasz M. Boryń, et al.. (2017). STARR-seq Screening protocol. Protocol Exchange. 1 indexed citations

4.

Muerdter, Felix, Łukasz M. Boryń, Ashley R. Woodfin, et al.. (2017). Resolving systematic errors in widely used enhancer activity assays in human cells. Nature Methods. 15(2). 141–149. 107 indexed citations

5.

Muerdter, Felix, Felix Muerdter, Łukasz M. Boryń, et al.. (2017). STARR-seq Library Preparation. Protocol Exchange. 1 indexed citations

6.

Muerdter, Felix, Felix Muerdter, Łukasz M. Boryń, et al.. (2017). qPCR based reporter assay on luciferase transcripts. Protocol Exchange. 1 indexed citations

7.

Zabidi, Muhammad A. & Alexander Stark. (2016). Regulatory Enhancer–Core-Promoter Communication via Transcription Factors and Cofactors. Trends in Genetics. 32(12). 801–814. 150 indexed citations

8.

Arnold, Cosmas D., Muhammad A. Zabidi, Michaela Pagani, et al.. (2016). Genome-wide assessment of sequence-intrinsic enhancer responsiveness at single-base-pair resolution. Nature Biotechnology. 35(2). 136–144. 61 indexed citations

9.

Zabidi, Muhammad A., Cosmas D. Arnold, Katharina Schernhuber, et al.. (2014). Enhancer–core-promoter specificity separates developmental and housekeeping gene regulation. Nature. 518(7540). 556–559. 314 indexed citations

10.

Wu, Bingbing, et al.. (2008). Microtubule-mediated Src Tyrosine Kinase Trafficking in Neuronal Growth Cones. Molecular Biology of the Cell. 19(11). 4611–4627. 26 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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