Eli Lechtman
Impact in
- Radiation top 2%
- Advanced Radiotherapy Techniques
-
- Radiation Therapy and Dosimetry
Papers in ⓘ
- Radiation 11
- Advanced Radiotherapy Techniques 11
-
- Radiation Dose and Imaging 3
- Medical Imaging Techniques and Applications 2
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Jean‐Philippe Pignol (16 shared papers)Raymond M. Reilly (10 shared papers)Zhongli Cai (8 shared papers)Niladri Chattopadhyay (7 shared papers)Shahram Mashouf (8 shared papers)P. T. Lai (2 shared papers)Brian Keller (5 shared papers)Bob Keller (1 shared paper)
- Journals
- Physics in Medicine and Biology (6 papers)Molecular Pharmaceutics (2 papers)Brachytherapy (2 papers)Scientific Reports (1 paper)Medical Physics (1 paper)
- Partner nations
- CanadaNetherlandsUnited Kingdom
In The Last Decade
Eli Lechtman
19 papers receiving 834 citations
Peers
Comparison fields: 5 of 75
- Radiation 369
- Pulmonary and Respiratory Medicine 564
- Biomaterials 180
- Radiology, Nuclear Medicine and Imaging 272
- Structural Biology 11
Countries citing papers authored by Eli Lechtman
This map shows the geographic impact of Eli Lechtman'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 Eli Lechtman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli Lechtman more than expected).
Fields of papers citing papers by Eli Lechtman
This network shows the impact of papers produced by Eli Lechtman. 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 Eli Lechtman. The network helps show where Eli Lechtman may publish in the future.
Co-authors
The 25 scholars most cited alongside Eli Lechtman, 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 | 2011 | 209 | |
| 2 | 2012 | 128 | |
| 3 | 2013 | 122 | |
| 4 | 2010 | 99 | |
| 5 | 2012 | 82 | |
| 6 | 2020 | 52 | |
| 7 | 2017 | 35 | |
| 8 | 2013 | 30 | |
| 9 | 2021 | 20 | |
| 10 | 2016 | 15 | |
| 11 | 2017 | 12 | |
| 12 | 2014 | 9 | |
| 13 | 2015 | 8 | |
| 14 | 2011 | 8 | |
| 15 | 2013 | 6 | |
| 16 | Clinical Evaluation of Deep Learning for Improving PET Image Quality | 2020 | 1 |
| 17 | 2010 | 1 | |
| 18 | 2015 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2010 | 0 |
About Eli Lechtman
Eli Lechtman is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomaterials and Biomedical Engineering, having authored 20 papers that have together received 839 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (11 papers), Radiation Therapy and Dosimetry (8 papers), Nanoplatforms for cancer theranostics (4 papers), Advanced X-ray and CT Imaging (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Radiation Dose and Imaging (3 papers), Medical Imaging Techniques and Applications (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Radiation (369 citations), Pulmonary and Respiratory Medicine (564 citations), Biomaterials (180 citations), Radiology, Nuclear Medicine and Imaging (272 citations) and Structural Biology (11 citations). Eli Lechtman has collaborated with scholars based in Canada, Netherlands and United Kingdom. Frequent co-authors include Jean‐Philippe Pignol, Raymond M. Reilly, Zhongli Cai, Niladri Chattopadhyay, Shahram Mashouf, P. T. Lai, Brian Keller, Bob Keller, Reina Bendayan and Humphrey Fonge. Their work appears in journals such as Physics in Medicine and Biology, Molecular Pharmaceutics, Brachytherapy, Scientific Reports and Medical Physics.
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.