David Last
Impact in
- Neurology top 5%
- Biotechnology top 5%
- Microbial Inactivation Methods
Papers in ⓘ
-
- Microbial Inactivation Methods 9
- Genetics 11
- Glioma Diagnosis and Treatment 11
- Co-authors
- Yael Mardor (38 shared papers)Dianne Daniels (29 shared papers)David Guez (25 shared papers)John C. Gray (2 shared papers)Kun Hu (2 shared papers)Vera Novak (2 shared papers)Jerry D. Cavallerano (2 shared papers)Shirley Sharabi (18 shared papers)
- Journals
- Scientific Reports (3 papers)Neuro-Oncology (3 papers)International Journal of Radiation Oncology*Biology*Physics (3 papers)Bioelectrochemistry (2 papers)Diabetes Care (2 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
David Last
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Neurology 160
- Biotechnology 155
- Genetics 118
- Radiology, Nuclear Medicine and Imaging 255
- Biomaterials 141
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 | 2012 | 72 | |
| 4 | 2017 | 71 | |
| 5 | 2018 | 45 | |
| 6 | 2018 | 45 | |
| 7 | 1999 | 45 | |
| 8 | 1989 | 43 | |
| 9 | 1990 | 41 | |
| 10 | 2012 | 41 | |
| 11 | 2019 | 37 | |
| 12 | 2019 | 36 | |
| 13 | 2011 | 35 | |
| 14 | 2018 | 35 | |
| 15 | 2012 | 34 | |
| 16 | 2013 | 32 | |
| 17 | 2016 | 29 | |
| 18 | 2004 | 23 | |
| 19 | 2008 | 23 | |
| 20 | 2015 | 21 |
About David Last
David Last is a scholar working on Biotechnology, Genetics, Radiology, Nuclear Medicine and Imaging, Ophthalmology and Neurology, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), MRI in cancer diagnosis (10 papers), Advanced MRI Techniques and Applications (9 papers), Microbial Inactivation Methods (9 papers), Microfluidic and Bio-sensing Technologies (7 papers), Ultrasound and Hyperthermia Applications (6 papers), Toxin Mechanisms and Immunotoxins (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Neurology (160 citations), Biotechnology (155 citations), Genetics (118 citations), Radiology, Nuclear Medicine and Imaging (255 citations) and Biomaterials (141 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, Kun Hu, Vera Novak, Jerry D. Cavallerano, Shirley Sharabi, Amir Abduljalil and David C. Alsop. Their work appears in journals such as Scientific Reports, Neuro-Oncology, International Journal of Radiation Oncology*Biology*Physics, Bioelectrochemistry and Diabetes Care.
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.