Munazah Andrabi

716 total citations
11 papers, 155 citations indexed

About

Munazah Andrabi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Munazah Andrabi has authored 11 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Pharmacology. Recurrent topics in Munazah Andrabi's work include Genomics and Chromatin Dynamics (3 papers), Computational Drug Discovery Methods (3 papers) and RNA and protein synthesis mechanisms (3 papers). Munazah Andrabi is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), Computational Drug Discovery Methods (3 papers) and RNA and protein synthesis mechanisms (3 papers). Munazah Andrabi collaborates with scholars based in Japan, United Kingdom and India. Munazah Andrabi's co-authors include Shandar Ahmad, Kenji Mizuguchi, Akinori Sarai, Syed Murtuza Baker, Mudassar Iqbal, Andrew D. Sharrocks, Katsushi Yamaguchi, Shuji Shigenobu, Hisato Kondoh and Shinya Oki and has published in prestigious journals such as Development, Scientific Reports and Gene.

In The Last Decade

Munazah Andrabi

10 papers receiving 155 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Munazah Andrabi Japan	8	145	14	8	7	6	11	155
Daniel Weilandt United States	7	133 0.9×	6 0.4×	6 0.8×	3 0.4×	11 1.8×	13	160
Natasha Leanna Patel-Murray United States	3	60 0.4×	7 0.5×	9 1.1×	2 0.3×	9 1.5×	3	98
Yisi Li China	4	142 1.0×	6 0.4×	16 2.0×	2 0.3×	6 1.0×	5	173
Árpád Bálind Hungary	5	74 0.5×	4 0.3×	8 1.0×	6 0.9×	4 0.7×	5	121
Chen Ruan China	5	85 0.6×	5 0.4×	4 0.5×	3 0.4×	9 1.5×	10	142
Cheng-Guo Wu United States	6	69 0.5×	11 0.8×	2 0.3×	3 0.4×	2 0.3×	8	99
Claudia Hernández-Armenta United Kingdom	4	62 0.4×	8 0.6×	9 1.1×	2 0.3×	3 0.5×	5	85
Nikolay S. Ilyinsky Russia	9	219 1.5×	3 0.2×	8 1.0×	2 0.3×	7 1.2×	19	253
Asli N. Goktug United States	8	88 0.6×	2 0.1×	12 1.5×	4 0.6×	6 1.0×	11	158
Nick Hoppe United States	3	75 0.5×	8 0.6×	10 1.3×	5 0.7×	1 0.2×	3	83

Countries citing papers authored by Munazah Andrabi

Since Specialization

Citations

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

Fields of papers citing papers by Munazah Andrabi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Munazah Andrabi

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

All Works

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11 of 11 papers shown

Bacall, Finn, et al.. (2023). Making Bioinformatics Training Events and Material More Discoverable Using TeSS, the ELIXIR Training Portal. Current Protocols. 3(2). e682–e682.

Andrabi, Munazah, et al.. (2019). ZIC3 Controls the Transition from Naive to Primed Pluripotency. Cell Reports. 27(11). 3215–3227.e6. 34 indexed citations

Andrabi, Munazah, Andrew P. Hutchins, Diego Miranda‐Saavedra, et al.. (2017). Predicting conformational ensembles and genome-wide transcription factor binding sites from DNA sequences. Scientific Reports. 7(1). 4071–4071. 11 indexed citations

Oki, Shinya, Munazah Andrabi, Jeremy M. Boss, et al.. (2017). ChIP-seq analysis of genomic binding regions of five major transcription factors in mouse epiblast stem cells that highlights a central role for ZIC2. Development. 144(11). 1948–1958. 35 indexed citations

Latorre, Víctor, Munazah Andrabi, Franck Ladam, et al.. (2017). A tissue-specific, Gata6-driven transcriptional program instructs remodeling of the mature arterial tree. eLife. 6. 13 indexed citations

Andrabi, Munazah, Shigehiro Kuraku, Nozomu Takata, Yoshiki Sasai, & Nick R. Love. (2015). Comparative, transcriptome analysis of self-organizing optic tissues. Scientific Data. 2(1). 150030–150030. 10 indexed citations

Love, Nick R., Munazah Andrabi, Shigehiro Kuraku, Nozomu Takata, & Yoshiki Sasai. (2015). Live-imaging of Day 10 Rx::GFP+//TOP::DsRed tissue tissue under Wnt/!-catenin or Fgf signalling stimulation.. Figshare. 1 indexed citations

Andrabi, Munazah, Bratati Kahali, Tapash Chandra Ghosh, et al.. (2010). On nucleotide solvent accessibility in RNA structure. Gene. 463(1-2). 41–48. 9 indexed citations

Andrabi, Munazah, Kenji Mizuguchi, Akinori Sarai, & Shandar Ahmad. (2009). Prediction of mono- and di-nucleotide-specific DNA-binding sites in proteins using neural networks. BMC Structural Biology. 9(1). 30–30. 31 indexed citations

10.

Malik, Adeel, et al.. (2007). Databases and QSAR for cancer research.. PubMed. 2. 99–111. 4 indexed citations

11.

Malik, Adeel, et al.. (2006). Databases and QSAR for Cancer Research. Cancer Informatics. 2. 2816755208–2816755208. 7 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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