Nima Mousavi

794 total citations
9 papers, 312 citations indexed

About

Nima Mousavi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Nima Mousavi has authored 9 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in Nima Mousavi's work include RNA and protein synthesis mechanisms (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Nima Mousavi is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Nima Mousavi collaborates with scholars based in United States and Italy. Nima Mousavi's co-authors include Melissa Gymrek, Sharona Shleizer-Burko, Ileena Mitra, Shubham Saini, Kirk E. Lohmueller, Stephanie Feudjio Feupe, Jonathan Margoliash, Tajana Rosing, Parvin Mansouri and Barış Akşanlı and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Nima Mousavi

8 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nima Mousavi United States	5	216	181	111	22	19	9	312
Erick Loomis United States	7	314 1.5×	191 1.1×	72 0.6×	27 1.2×	27 1.4×	8	407
Shubham Saini United States	5	166 0.8×	151 0.8×	71 0.6×	21 1.0×	21 1.1×	6	252
Luke Hickey United States	4	243 1.1×	175 1.0×	38 0.3×	43 2.0×	43 2.3×	5	350
Kiara N. Berríos United States	9	252 1.2×	107 0.6×	57 0.5×	15 0.7×	15 0.8×	11	337
Jonathan Margoliash United States	3	134 0.6×	99 0.5×	61 0.5×	18 0.8×	12 0.6×	3	187
Kerry J. Woodford United States	7	512 2.4×	164 0.9×	83 0.7×	24 1.1×	9 0.5×	8	547
Nickolas K. Skamangas United States	7	196 0.9×	62 0.3×	116 1.0×	6 0.3×	10 0.5×	8	306
Christina N. Vallianatos United States	6	296 1.4×	194 1.1×	36 0.3×	9 0.4×	29 1.5×	8	362
Alexandra N. Khristich United States	7	316 1.5×	56 0.3×	125 1.1×	23 1.0×	12 0.6×	7	339
Holger Trucks Germany	5	119 0.6×	176 1.0×	49 0.4×	8 0.4×	11 0.6×	5	279

Countries citing papers authored by Nima Mousavi

Since Specialization

Citations

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

Fields of papers citing papers by Nima Mousavi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nima Mousavi

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

All Works

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9 of 9 papers shown

1.

Maksimov, Mikhail O., David G. Ashbrook, Flavia Villani, et al.. (2023). A novel quantitative trait locus implicates Msh3 in the propensity for genome-wide short tandem repeat expansions in mice. Genome Research. 33(5). 689–702. 4 indexed citations

2.

Maheshwari, Shamoni, et al.. (2023). High-Throughput Antibody Discovery Using Barcode Enabled Antigen Mapping (BEAM. The Journal of Immunology. 210(Supplement_1). 249.28–249.28. 1 indexed citations

3.

Sun, Tianyanxin, Nima Mousavi, Ivana Marić, et al.. (2022). HMOX1 Genetic Polymorphisms Display Ancestral Diversity and May Be Linked to Hypertensive Disorders in Pregnancy. Reproductive Sciences. 29(12). 3465–3476. 4 indexed citations

4.

Mitra, Ileena, et al.. (2021). Patterns of de novo tandem repeat mutations and their role in autism. Nature. 589(7841). 246–250. 100 indexed citations

5.

Mousavi, Nima, et al.. (2020). TRTools: a toolkit for genome-wide analysis of tandem repeats. Bioinformatics. 37(5). 731–733. 31 indexed citations

6.

Mousavi, Nima, et al.. (2019). Profiling the genome-wide landscape of tandem repeat expansions. Nucleic Acids Research. 47(15). e90–e90. 124 indexed citations

7.

Saini, Shubham, Ileena Mitra, Nima Mousavi, Stephanie Feudjio Feupe, & Melissa Gymrek. (2018). A reference haplotype panel for genome-wide imputation of short tandem repeats. Nature Communications. 9(1). 4397–4397. 45 indexed citations

8.

Mousavi, Nima, et al.. (2017). Accuracy-resource tradeoff for edge devices in Internet of Things. 9. 581–586. 2 indexed citations

9.

Mousavi, Nima & Parvin Mansouri. (2007). FREQUENCY OF YEASTS AND PRECIPITATING ANTIBODIES AGAINST CANDIDA ALBICANS AND PITYROSPORUM OVALE IN PATIENTS WITH SCALP PSORIASIS. 5(218). 1257–1260. 1 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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