Zeina S. Khan
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 2
- Computational Mechanics top 10%
- Granular flow and fluidized beds 5
- Fluid Dynamics and Heat Transfer 2
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- Cellular Mechanics and Interactions 5
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- Microfluidic and Bio-sensing Technologies 3
- 3D Printing in Biomedical Research 3
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- Landslides and related hazards 2
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- Material Dynamics and Properties 2
- Co-authors
- Siva A. VanapalliStephen W. MorrisFazle HussainMeng SunNabiollah KamyabiShaikh Mizanoor RahmanMarco Di MichielDeepak E. Solomon
- Journals
- Biomicrofluidics (3 papers)Cellular and Molecular Bioengineering (2 papers)New Journal of Physics (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Zeina S. Khan
17 papers receiving 374 citations
Peers
Comparison fields: 5 of 88
- Aging 11
- Modeling and Simulation 27
- Computational Mechanics 119
- Cell Biology 65
- Biomedical Engineering 122
Countries citing papers authored by Zeina S. Khan
This map shows the geographic impact of Zeina S. Khan'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 Zeina S. Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeina S. Khan more than expected).
Fields of papers citing papers by Zeina S. Khan
This network shows the impact of papers produced by Zeina S. Khan. 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 Zeina S. Khan. The network helps show where Zeina S. Khan may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Zeina S. Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 3 | |
| 2 | 2022 | 8 | |
| 3 | 2020 | 5 | |
| 4 | 2020 | 26 | |
| 5 | 2019 | 0 | |
| 6 | 2018 | 35 | |
| 7 | 2017 | 12 | |
| 8 | 2017 | 38 | |
| 9 | 2017 | 17 | |
| 10 | 2013 | 49 | |
| 11 | 2012 | 15 | |
| 12 | 2012 | 42 | |
| 13 | 2011 | 2 | |
| 14 | 2011 | 10 | |
| 15 | 2006 | 5 | |
| 16 | 2005 | 51 | |
| 17 | 2005 | 16 | |
| 18 | 2004 | 44 |
About Zeina S. Khan
Zeina S. Khan is a scholar working on Aging, Modeling and Simulation, Cell Biology, Computational Mechanics and Management, Monitoring, Policy and Law, having authored 18 papers that have together received 378 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Granular flow and fluidized beds (5 papers), Microfluidic and Bio-sensing Technologies (3 papers), 3D Printing in Biomedical Research (3 papers), COVID-19 epidemiological studies (2 papers), Landslides and related hazards (2 papers), Fluid Dynamics and Heat Transfer (2 papers) and Material Dynamics and Properties (2 papers). The work is most often cited by research in Aging (11 citations), Modeling and Simulation (27 citations), Computational Mechanics (119 citations), Cell Biology (65 citations) and Biomedical Engineering (122 citations). Zeina S. Khan has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Siva A. Vanapalli, Stephen W. Morris, Fazle Hussain, Meng Sun, Nabiollah Kamyabi, Shaikh Mizanoor Rahman, Marco Di Michiel, Deepak E. Solomon, Ralf Seemann and Mario Scheel. Their work appears in journals such as Biomicrofluidics, Cellular and Molecular Bioengineering, New Journal of Physics, PLoS ONE and Granular Matter.
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.