Yama Abassi
Impact in
-
- Neuroscience and Neural Engineering
- Biophysics top 5%
Papers in
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- Receptor Mechanisms and Signaling 6
- Ion channel regulation and function 4
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- Cardiac electrophysiology and arrhythmias 8
- Co-authors
- Xiao Yun Xu (9 shared papers)Biao Xi (12 shared papers)Jenny Zhu (7 shared papers)Josephine M. Atienza (5 shared papers)Naichen Yu (5 shared papers)Ke Ning (3 shared papers)Xiaobo Wang (1 shared paper)Xiao Xu (5 shared papers)
- Journals
- SLAS DISCOVERY (4 papers)Developmental Biology (3 papers)Assay and Drug Development Technologies (2 papers)PLoS ONE (2 papers)Analytical Chemistry (2 papers)
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
Yama Abassi
38 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 129
- Cellular and Molecular Neuroscience 437
- Biophysics 109
- Immunology and Allergy 97
- Molecular Biology 1.1k
- Reproductive Medicine 124
Countries citing papers authored by Yama Abassi
This map shows the geographic impact of Yama Abassi'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 Yama Abassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yama Abassi more than expected).
Fields of papers citing papers by Yama Abassi
This network shows the impact of papers produced by Yama Abassi. 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 Yama Abassi. The network helps show where Yama Abassi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yama Abassi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 333 | |
| 2 | 2009 | 221 | |
| 3 | 2005 | 205 | |
| 4 | 2005 | 180 | |
| 5 | 2008 | 147 | |
| 6 | 2006 | 138 | |
| 7 | 2011 | 98 | |
| 8 | 2018 | 93 | |
| 9 | 2014 | 85 | |
| 10 | 1999 | 81 | |
| 11 | 2004 | 80 | |
| 12 | 2018 | 77 | |
| 13 | 2011 | 71 | |
| 14 | 2000 | 67 | |
| 15 | 2002 | 64 | |
| 16 | 2006 | 63 | |
| 17 | 2006 | 61 | |
| 18 | 2016 | 60 | |
| 19 | 1999 | 60 | |
| 20 | 2016 | 58 |
About Yama Abassi
Yama Abassi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Biomedical Engineering and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (8 papers), Neuroscience and Neural Engineering (7 papers), Receptor Mechanisms and Signaling (6 papers), 3D Printing in Biomedical Research (6 papers), Cell Image Analysis Techniques (5 papers), CAR-T cell therapy research (4 papers), Ion channel regulation and function (4 papers) and Reproductive Biology and Fertility (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (437 citations), Biophysics (109 citations), Immunology and Allergy (97 citations), Molecular Biology (1.1k citations) and Reproductive Medicine (124 citations). Yama Abassi has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Xiao Yun Xu, Biao Xi, Jenny Zhu, Josephine M. Atienza, Naichen Yu, Ke Ning, Xiaobo Wang, Xiao Xu, Xiaobo Wang and Shelli L. Kirstein. Their work appears in journals such as SLAS DISCOVERY, Developmental Biology, Assay and Drug Development Technologies, PLoS ONE and Analytical Chemistry.
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.