Mandana Arbab

2.0k citations
11 papers · 1.3k indexed · 2 hit papers · h-index 9
Topics
CRISPR and Genetic Engineering (9 papers)RNA and protein synthesis mechanisms (4 papers)RNA regulation and disease (3 papers)

In The Last Decade

Mandana Arbab

11 papers receiving 1.3k citations

Hit Papers

Predictable and precise template-free CRISPR editing of p...201820262020202320182022100200300

Peers

Mandana Arbab
Comparison fields: 5 of 74
  • Molecular Biology 1.2k
  • Genetics 324
  • Plant Science 123
  • Business and International Management 102
  • Aging 92
Replace Quan Ho with:
Quan Ho United States
Wenqin Ying China
Rolf Turk United States
Yidi Sun China
Christopher D. Guzman United States
Michael A. Collingwood United States
Josephine M. Janssen Netherlands
Jason Potter United States
Namritha Ravinder United States
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Mandana Arbab relative to Quan Ho United States Quan Ho's profile →
Citations per field
00.5×
Quan Ho · 1×
Citations per year

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
#WorkIndexed citations
1 74
2
Evolution of an adenine base editor into a small, efficient cytosine base editor with low off-target activitybreakdown →
156
3 155
4 257
5 185
6
Predictable and precise template-free CRISPR editing of pathogenic variantsbreakdown →
380
7 2
8 19
9 37
10 24
11 3

About Mandana Arbab

Mandana Arbab is a scholar working on Business and International Management, Genetics and Molecular Biology, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), RNA and protein synthesis mechanisms (4 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Aging (92 citations), Business and International Management (102 citations) and Molecular Biology (1.2k citations). Mandana Arbab has collaborated with scholars based in United States, Netherlands and Belgium. Frequent 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. Their work appears in journals such as Nature, Science and Cell.

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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