Paria Mohseni

3.2k total citations · 2 hit papers
7 papers, 2.4k citations indexed

About

Paria Mohseni is a scholar working on Molecular Biology, Genetics and Developmental Neuroscience. According to data from OpenAlex, Paria Mohseni has authored 7 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Developmental Neuroscience. Recurrent topics in Paria Mohseni's work include Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Paria Mohseni is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Paria Mohseni collaborates with scholars based in Canada, United Kingdom and Finland. Paria Mohseni's co-authors include Maria Mileikovsky, Keisuke Kaji, Knut Woltjen, Katherine Norrby, Agnieszka Paca, András Nagy, Hoon‐Ki Sung, Iacovos P. Michael, Rebecca Cowling and Riikka H. Hämäläinen and has published in prestigious journals such as Nature, Journal of Neuroscience and Environmental Science & Technology.

In The Last Decade

Paria Mohseni

7 papers receiving 2.3k citations

Hit Papers

piggyBac transposition reprograms fibroblasts to induced ... 2009 2026 2014 2020 2009 2009 400 800 1.2k

Peers

Paria Mohseni
Comparison fields: 5 of 81
  • Molecular Biology 2.2k
  • Genetics 384
  • Surgery 381
  • Physiology 360
  • Biomedical Engineering 322
Replace Maria Mileikovsky with:
Maria Mileikovsky Canada
Sarah Eminli United States
Ori Bar‐Nur Switzerland
A. Okada Japan
Shunping Wang United States
Sarah N. Dowey United States
Nanako Takizawa Japan
Angelique M. Nelson United States
Jung-Il Moon United States
Yoav Mayshar Israel
Maria Mileikovsky Canada View profile →
Citations per field, relative to Paria Mohseni
Paria Mohseni · 1×
Citations per year, relative to Paria Mohseni
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Countries citing papers authored by Paria Mohseni

Since Specialization
Citations

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

Fields of papers citing papers by Paria Mohseni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paria Mohseni

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 42
2 18
3 58
4 39
5
Virus-free induction of pluripotency and subsequent excision of reprogramming factors breakdown →
887
6
piggyBac transposition reprograms fibroblasts to induced pluripotent stem cells breakdown →
1307
7 1

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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