Mandana Arbab

2.0k total citations · 2 hit papers
11 papers, 1.3k citations indexed

About

Mandana Arbab is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Mandana Arbab has authored 11 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Surgery. Recurrent topics in Mandana Arbab's work include CRISPR and Genetic Engineering (9 papers), RNA and protein synthesis mechanisms (4 papers) and RNA regulation and disease (3 papers). Mandana Arbab is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), RNA and protein synthesis mechanisms (4 papers) and RNA regulation and disease (3 papers). Mandana Arbab collaborates with scholars based in United States, Netherlands and Belgium. Mandana Arbab's co-authors include David R. Liu, Max W. Shen, Christopher A. Cassa, Żaneta Matuszek, Gregory A. Newby, Richard I. Sherwood, Jonathan Y. Hsu, David K. Gifford, Sannie J. Culbertson and Beverly Mok and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Mandana Arbab

11 papers receiving 1.3k citations

Hit Papers

Predictable and precise template-free CRISPR editing of p... 2018 2026 2020 2023 2018 2022 100 200 300
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.

  1. Predictable and precise template-free CRISPR editing of pathogenic variants
    2018 380 citations Max W. Shen, Mandana Arbab et al. Nature profile →
  2. Evolution of an adenine base editor into a small, efficient cytosine base editor with low off-target activity
    2022 156 citations Monica E. Neugebauer, Alvin Hsu et al. Nature Biotechnology profile →

Peers

Mandana Arbab
Wenqin Ying China
Josephine M. Janssen Netherlands
Quan Ho United States
Jean-Baptiste Renaud France
Yidi Sun China
Ravi Alla United States
Jennifer M. Cherone United States
Namritha Ravinder United States
Jenna Persson Sweden
Rolf Turk United States
Wenqin Ying China
Mandana Arbab
Citations per year, relative to Mandana Arbab Mandana Arbab (= 1×) peers Wenqin Ying

Countries citing papers authored by Mandana Arbab

Since Specialization
Citations

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

Fields of papers citing papers by Mandana Arbab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mandana Arbab

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

All Works

11 of 11 papers shown
1.
Arbab, Mandana, Żaneta Matuszek, Gregory A. Newby, et al.. (2023). Base editing rescue of spinal muscular atrophy in cells and in mice. Science. 380(6642). eadg6518–eadg6518. 74 indexed citations
2.
Neugebauer, Monica E., Alvin Hsu, Mandana Arbab, et al.. (2022). Evolution of an adenine base editor into a small, efficient cytosine base editor with low off-target activity. Nature Biotechnology. 41(5). 673–685. 156 indexed citations breakdown →
3.
Koblan, Luke W., Mandana Arbab, Max W. Shen, et al.. (2021). Efficient C•G-to-G•C base editors developed using CRISPRi screens, target-library analysis, and machine learning. Nature Biotechnology. 39(11). 1414–1425. 155 indexed citations
4.
Miller, Shannon M., Tina Wang, Peyton B. Randolph, et al.. (2020). Continuous evolution of SpCas9 variants compatible with non-G PAMs. Nature Biotechnology. 38(4). 471–481. 257 indexed citations
5.
Arbab, Mandana, Max W. Shen, Beverly Mok, et al.. (2020). Determinants of Base Editing Outcomes from Target Library Analysis and Machine Learning. Cell. 182(2). 463–480.e30. 185 indexed citations
6.
Shen, Max W., Mandana Arbab, Jonathan Y. Hsu, et al.. (2018). Predictable and precise template-free CRISPR editing of pathogenic variants. Nature. 563(7733). 646–651. 380 indexed citations breakdown →
7.
Arbab, Mandana & Richard I. Sherwood. (2016). Self‐Cloning CRISPR. Current Protocols in Stem Cell Biology. 38(1). 5B.5.1–5B.5.16. 2 indexed citations
8.
Welling, Maaike, Javier Muñoz, Michael U. Musheev, et al.. (2015). DAZL regulates Tet1 translation in murine embryonic stem cells. EMBO Reports. 16(7). 791–802. 19 indexed citations
9.
Arbab, Mandana, Sharanya Srinivasan, Tatsunori Hashimoto, Niels Geijsen, & Richard I. Sherwood. (2015). Cloning-free CRISPR. Stem Cell Reports. 5(5). 908–917. 37 indexed citations
10.
Arbab, Mandana, et al.. (2014). Modeling motor neuron disease: the matter of time. Trends in Neurosciences. 37(11). 642–652. 24 indexed citations
11.
Arbab, Mandana, Shaun Mahony, Joel M. Chick, et al.. (2012). A multi-parametric flow cytometric assay to analyze DNA–protein interactions. Nucleic Acids Research. 41(2). e38–e38. 3 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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