Navid Ghorashian

484 total citations
10 papers, 340 citations indexed

About

Navid Ghorashian is a scholar working on Biomedical Engineering, Aging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Navid Ghorashian has authored 10 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 5 papers in Aging and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Navid Ghorashian's work include 3D Printing in Biomedical Research (8 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and Microfluidic and Bio-sensing Technologies (5 papers). Navid Ghorashian is often cited by papers focused on 3D Printing in Biomedical Research (8 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and Microfluidic and Bio-sensing Technologies (5 papers). Navid Ghorashian collaborates with scholars based in United States, Australia and Switzerland. Navid Ghorashian's co-authors include Sertan Kutal Gökçe, Adela Ben‐Yakar, Sudip Mondal, Terry A. Gaige, Paul J. Hung, Chris Martin, Philip Lee, Jonathan T. Pierce, W. Neil Everett and Joshua Russell and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Navid Ghorashian

10 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Navid Ghorashian United States	10	169	134	85	64	60	10	340
Christopher B. Rohde United States	7	299 1.8×	309 2.3×	106 1.2×	104 1.6×	176 2.9×	9	595
Trushal Vijaykumar Chokshi United States	5	203 1.2×	215 1.6×	44 0.5×	69 1.1×	133 2.2×	6	364
Sudip Mondal United States	9	124 0.7×	134 1.0×	123 1.4×	47 0.7×	69 1.1×	19	310
Sarah M. Anderson United States	11	46 0.3×	162 1.2×	161 1.9×	43 0.7×	35 0.6×	15	486
Titas Sengupta United States	8	51 0.3×	57 0.4×	102 1.2×	27 0.4×	42 0.7×	13	302
Sundar Ram Naganathan United Kingdom	9	61 0.4×	103 0.8×	192 2.3×	53 0.8×	43 0.7×	14	450
Emma Garren United States	6	36 0.2×	62 0.5×	162 1.9×	27 0.4×	154 2.6×	7	349
Yangning Lu China	8	37 0.2×	104 0.8×	165 1.9×	27 0.4×	70 1.2×	9	470
Hongfei Ji United States	7	25 0.1×	154 1.1×	53 0.6×	41 0.6×	79 1.3×	14	269
Alakananda Das United States	5	159 0.9×	40 0.3×	109 1.3×	42 0.7×	41 0.7×	8	356

Countries citing papers authored by Navid Ghorashian

Since Specialization

Citations

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

Fields of papers citing papers by Navid Ghorashian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Navid Ghorashian

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

All Works

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10 of 10 papers shown

Mondal, Sudip, James J. Sahn, Luisa L. Scott, et al.. (2018). High-Content Microfluidic Screening Platform Used To Identify σ2R/Tmem97 Binding Ligands that Reduce Age-Dependent Neurodegeneration in C. elegans SC_APP Model. ACS Chemical Neuroscience. 9(5). 1014–1026. 25 indexed citations

Gökçe, Sertan Kutal, Sudip Mondal, Peisen Zhao, et al.. (2017). A multi-trap microfluidic chip enabling longitudinal studies of nerve regeneration in Caenorhabditis elegans. Scientific Reports. 7(1). 9837–9837. 26 indexed citations

Ghorashian, Navid, et al.. (2017). Universal signal generator for dynamic cell stimulation. Lab on a Chip. 17(13). 2218–2224. 12 indexed citations

Mondal, Sudip, et al.. (2016). Large-scale microfluidics providing high-resolution and high-throughput screening of Caenorhabditis elegans poly-glutamine aggregation model. Nature Communications. 7(1). 13023–13023. 90 indexed citations

Vidal-Gadea, Andrés, Celia Beron, Navid Ghorashian, et al.. (2015). Magnetosensitive neurons mediate geomagnetic orientation in Caenorhabditis elegans. eLife. 4. 67 indexed citations

Gökçe, Sertan Kutal, et al.. (2014). A Fully Automated Microfluidic Femtosecond Laser Axotomy Platform for Nerve Regeneration Studies in C. elegans. PLoS ONE. 9(12). e113917–e113917. 34 indexed citations

Ghorashian, Navid, et al.. (2013). An Automated Microfluidic Multiplexer for Fast Delivery of C. elegans Populations from Multiwells. PLoS ONE. 8(9). e74480–e74480. 13 indexed citations

Lee, Philip, Navid Ghorashian, Terry A. Gaige, & Paul J. Hung. (2007). Microfluidic System for Automated Cell-Based Assays. JALA Journal of the Association for Laboratory Automation. 12(6). 363–367. 43 indexed citations

Lee, Philip, Terry A. Gaige, Navid Ghorashian, & Paul J. Hung. (2007). Microfluidic Tissue Model for Live Cell Screening. Biotechnology Progress. 23(4). 946–951. 11 indexed citations

10.

Gaige, Terry A., et al.. (2007). Microfluidic Tissue Model for Live Cell Screening. Biotechnology Progress. 23(4). 946–951. 19 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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