Hana Salati

488 total citations
20 papers, 357 citations indexed

About

Hana Salati is a scholar working on Surgery, Otorhinolaryngology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hana Salati has authored 20 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 9 papers in Otorhinolaryngology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hana Salati's work include Nasal Surgery and Airway Studies (13 papers), Sinusitis and nasal conditions (9 papers) and Inhalation and Respiratory Drug Delivery (6 papers). Hana Salati is often cited by papers focused on Nasal Surgery and Airway Studies (13 papers), Sinusitis and nasal conditions (9 papers) and Inhalation and Respiratory Drug Delivery (6 papers). Hana Salati collaborates with scholars based in Australia, Cyprus and New Zealand. Hana Salati's co-authors include Mehrdad Khamooshi, Fuat Egelioğlu, Kiao Inthavong, David F. Fletcher, Sara Vahaji, Narinder Singh, Mortaza Yari, Kiyan Parham, David White and Jim Bartley and has published in prestigious journals such as Journal of Biomechanics, Desalination and Physics of Fluids.

In The Last Decade

Hana Salati

20 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hana Salati Australia 10 104 103 100 80 55 20 357
Pedro Horta Portugal 11 15 0.1× 98 1.0× 189 1.9× 26 0.3× 56 1.0× 31 271
Karthik Balasubramanian India 11 17 0.2× 263 2.6× 172 1.7× 35 0.4× 50 0.9× 25 479
Phillip Weber United States 11 36 0.3× 37 0.4× 15 0.1× 182 2.3× 42 0.8× 31 526
Chenhua Wang China 11 37 0.4× 70 0.7× 10 0.1× 15 0.2× 52 0.9× 29 307
Hongbo Fan China 8 20 0.2× 72 0.7× 83 0.8× 6 0.1× 89 1.6× 14 262
Mohit Biglarian Iran 9 25 0.2× 19 0.2× 32 0.3× 37 0.5× 214 3.9× 13 380
Kuan‐Chih Chen Taiwan 9 22 0.2× 7 0.1× 6 0.1× 54 0.7× 79 1.4× 23 269
Qihui Yu China 11 11 0.1× 22 0.2× 159 1.6× 14 0.2× 50 0.9× 27 475
Yuanyuan Liang China 8 4 0.0× 54 0.5× 46 0.5× 43 0.5× 80 1.5× 16 381
Athanasios G. Kanaris Greece 9 30 0.3× 21 0.2× 59 0.6× 30 0.4× 439 8.0× 13 591

Countries citing papers authored by Hana Salati

Since Specialization
Citations

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

Fields of papers citing papers by Hana Salati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hana Salati

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

All Works

20 of 20 papers shown
1.
Salati, Hana, et al.. (2023). Modelling the effects of post-FESS middle turbinate synechiae on sinonasal physiology: A computational fluid dynamics study. Auris Nasus Larynx. 50(6). 911–920. 4 indexed citations
2.
3.
Salati, Hana, Mehrdad Khamooshi, David F. Fletcher, & Kiao Inthavong. (2022). Computational investigation of nasal surface coverage from squeeze bottle and Neti Pot saline irrigation flow. Computer Methods and Programs in Biomedicine. 227. 107223–107223. 1 indexed citations
4.
Inthavong, Kiao, et al.. (2022). Flow Patterns and Particle Residence Times in the Oral Cavity during Inhaled Drug Delivery. Pharmaceuticals. 15(10). 1259–1259. 8 indexed citations
5.
Salati, Hana, et al.. (2022). Correlation of Nasal Mucosal Temperature and Nasal Patency—A Computational Fluid Dynamics Study. The Laryngoscope. 133(6). 1328–1335. 5 indexed citations
6.
Salati, Hana, David F. Fletcher, Mehrdad Khamooshi, et al.. (2022). Exhaled Jet and Viral-Laden Aerosol Transport from Nasal Sneezing. Aerosol and Air Quality Research. 22(4). 210338–210338. 12 indexed citations
7.
Inthavong, Kiao, David F. Fletcher, Mehrdad Khamooshi, Sara Vahaji, & Hana Salati. (2022). Wet surface wall model for latent heat exchange during evaporation. International Journal for Numerical Methods in Biomedical Engineering. 38(4). e3581–e3581. 10 indexed citations
8.
Salati, Hana, et al.. (2022). The Impact of Adhesions on Nasal Airflow: A Quantitative Analysis Using Computational Fluid Dynamics. American Journal of Rhinology and Allergy. 37(3). 273–283. 1 indexed citations
9.
Vahaji, Sara, Hana Salati, Raymond Sacks, et al.. (2022). New insights into the breathing physiology from transient respiratory nasal simulation. Physics of Fluids. 34(11). 27 indexed citations
10.
Khamooshi, Mehrdad, David F. Fletcher, Hana Salati, et al.. (2022). Computational assessment of the nasal air conditioning and paranasal sinus ventilation from nasal assisted breathing therapy. Physics of Fluids. 34(5). 11 indexed citations
11.
Salati, Hana, et al.. (2021). Effects of head tilt on squeeze-bottle nasal irrigation – A computational fluid dynamics study. Journal of Biomechanics. 123. 110490–110490. 17 indexed citations
12.
Salati, Hana, et al.. (2021). The impact of nasal adhesions on airflow and mucosal cooling – A computational fluid dynamics analysis. Respiratory Physiology & Neurobiology. 293. 103719–103719. 20 indexed citations
13.
Wong, Eugene, et al.. (2021). Liquid volume and squeeze force effects on nasal irrigation using Volume of Fluid modelling. 4(4). 445–464. 8 indexed citations
14.
Salati, Hana, Mehrdad Khamooshi, Sara Vahaji, et al.. (2021). N95 respirator mask breathing leads to excessive carbon dioxide inhalation and reduced heat transfer in a human nasal cavity. Physics of Fluids. 33(8). 81913–81913. 36 indexed citations
15.
Salati, Hana, Jim Bartley, & David White. (2021). Computational Fluid Dynamics Simulation of Wall Shear Stress and Pressure Distribution from a Neti Pot During Nasal Saline Irrigation. Journal of Medical and Biological Engineering. 41(2). 175–184. 4 indexed citations
16.
Salati, Hana, et al.. (2020). Neti pot irrigation volume filling simulation using anatomically accurate in-vivo nasal airway geometry. Respiratory Physiology & Neurobiology. 284. 103580–103580. 8 indexed citations
17.
Salati, Hana, Jim Bartley, & David White. (2019). Nasal saline irrigation – A review of current anatomical, clinical and computational modelling approaches. Respiratory Physiology & Neurobiology. 273. 103320–103320. 15 indexed citations
18.
Khamooshi, Mehrdad, et al.. (2014). A Review of Solar Photovoltaic Concentrators. International Journal of Photoenergy. 2014. 1–17. 127 indexed citations
19.
Khamooshi, Mehrdad, et al.. (2014). Thermodynamic Analysis and Optimization of a High Temperature Triple Absorption Heat Transformer. The Scientific World JOURNAL. 2014. 1–10. 9 indexed citations
20.
Khamooshi, Mehrdad, Kiyan Parham, Fuat Egelioğlu, Mortaza Yari, & Hana Salati. (2014). Simulation and optimization of novel configurations of triple absorption heat transformers integrated to a water desalination system. Desalination. 348. 39–48. 32 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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