Lauri Goodell
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- AI in cancer detection 5
- Co-authors
- Wenjin Chen (10 shared papers)David J. Foran (12 shared papers)Peter Meer (4 shared papers)Roger Strair (9 shared papers)Arnold B. Rabson (6 shared papers)Dorin Comaniciu (1 shared paper)Daniel Medina (3 shared papers)Jaydev P. Desai (5 shared papers)
- Journals
- IEEE Transactions on Biomedical Engineering (2 papers)Journal of the American Medical Informatics Association (1 paper)Clinical Cancer Research (1 paper)Experimental Hematology (1 paper)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Lauri Goodell
26 papers receiving 637 citations
Peers
Comparison fields: 5 of 84
- Biophysics 68
- Health Informatics 10
- Computer Vision and Pattern Recognition 146
- Artificial Intelligence 176
- Oncology 110
Countries citing papers authored by Lauri Goodell
This map shows the geographic impact of Lauri Goodell'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 Lauri Goodell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauri Goodell more than expected).
Fields of papers citing papers by Lauri Goodell
This network shows the impact of papers produced by Lauri Goodell. 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 Lauri Goodell. The network helps show where Lauri Goodell may publish in the future.
Co-authors
The 25 scholars most cited alongside Lauri Goodell, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 73 | |
| 2 | 2000 | 71 | |
| 3 | Administration of a phorbol ester to patients with hematological malignancies: preliminary results from a phase I clinical trial of 12-O-tetradecanoylphorbol-13-acetate. | 2002 | 68 |
| 4 | 2011 | 56 | |
| 5 | 2005 | 45 | |
| 6 | 2009 | 35 | |
| 7 | 2009 | 35 | |
| 8 | 2014 | 31 | |
| 9 | 2017 | 28 | |
| 10 | 2016 | 27 | |
| 11 | 2012 | 24 | |
| 12 | 2014 | 23 | |
| 13 | 1999 | 23 | |
| 14 | 2005 | 19 | |
| 15 | 2013 | 17 | |
| 16 | 2014 | 15 | |
| 17 | 2008 | 13 | |
| 18 | 2010 | 13 | |
| 19 | 2005 | 12 | |
| 20 | 2002 | 8 |
About Lauri Goodell
Lauri Goodell is a scholar working on Molecular Biology, Artificial Intelligence, Oncology, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 26 papers that have together received 660 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Force Microscopy Techniques and Applications (4 papers), Cellular Mechanics and Interactions (4 papers), CAR-T cell therapy research (3 papers), Image Retrieval and Classification Techniques (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Cell Image Analysis Techniques (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Biophysics (68 citations), Health Informatics (10 citations), Computer Vision and Pattern Recognition (146 citations), Artificial Intelligence (176 citations) and Oncology (110 citations). Lauri Goodell has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Wenjin Chen, David J. Foran, Peter Meer, Roger Strair, Arnold B. Rabson, Dorin Comaniciu, Daniel Medina, Jaydev P. Desai, Céline Gélinas and John Glod. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Journal of the American Medical Informatics Association, Clinical Cancer Research, Experimental Hematology and Computer Methods and Programs in Biomedicine.
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.