David Last
Impact in
- Neurology top 5%
- Biotechnology top 5%
- Microbial Inactivation Methods
Papers in
- Genetics 12
- Glioma Diagnosis and Treatment 12
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- Microfluidic and Bio-sensing Technologies 6
- Ultrasound and Hyperthermia Applications 5
- Co-authors
- Yael Mardor (40 shared papers)Dianne Daniels (29 shared papers)David Guez (25 shared papers)John C. Gray (2 shared papers)Shirley Sharabi (18 shared papers)David C. Alsop (2 shared papers)Kun Hu (2 shared papers)Jerry D. Cavallerano (2 shared papers)
- Journals
- Scientific Reports (3 papers)International Journal of Radiation Oncology*Biology*Physics (3 papers)Neuro-Oncology (3 papers)PLoS ONE (2 papers)Bioelectrochemistry (2 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
David Last
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Neurology 139
- Biotechnology 153
- Biomaterials 137
- Genetics 98
- Radiology, Nuclear Medicine and Imaging 175
Countries citing papers authored by David Last
This map shows the geographic impact of David Last'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 David Last with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Last more than expected).
Fields of papers citing papers by David Last
This network shows the impact of papers produced by David Last. 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 David Last. The network helps show where David Last may publish in the future.
Co-authors
The 25 scholars most cited alongside David Last, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 199 | |
| 2 | 2006 | 130 | |
| 3 | 2017 | 73 | |
| 4 | 2012 | 72 | |
| 5 | 1999 | 45 | |
| 6 | 2018 | 45 | |
| 7 | 2018 | 45 | |
| 8 | 1989 | 43 | |
| 9 | 2012 | 42 | |
| 10 | 1990 | 41 | |
| 11 | 2019 | 41 | |
| 12 | 2019 | 36 | |
| 13 | 2018 | 35 | |
| 14 | 2011 | 35 | |
| 15 | 2012 | 34 | |
| 16 | 2013 | 32 | |
| 17 | 2016 | 30 | |
| 18 | 2008 | 23 | |
| 19 | 2004 | 23 | |
| 20 | 2015 | 22 |
About David Last
David Last is a scholar working on Genetics, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Biotechnology and Molecular Biology, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), Microbial Inactivation Methods (9 papers), MRI in cancer diagnosis (8 papers), Advanced MRI Techniques and Applications (7 papers), Microfluidic and Bio-sensing Technologies (6 papers), Ultrasound and Hyperthermia Applications (5 papers), Toxin Mechanisms and Immunotoxins (4 papers) and Nanoparticle-Based Drug Delivery (3 papers). The work is most often cited by research in Neurology (139 citations), Biotechnology (153 citations), Biomaterials (137 citations), Genetics (98 citations) and Radiology, Nuclear Medicine and Imaging (175 citations). David Last has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Yael Mardor, Dianne Daniels, David Guez, John C. Gray, Shirley Sharabi, David C. Alsop, Kun Hu, Jerry D. Cavallerano, Vera Novak and Amir Abduljalil. Their work appears in journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics, Neuro-Oncology, PLoS ONE and Bioelectrochemistry.
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.