Paul S. Lavik
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Surgery
- Cancer Research
- Physiology
- Co-authors
- Antonio Rodríguez-AntúnezRanjit S. DhaliwalGwynn JeldenLeRoy W. MatthewsJohn E. BiaglowHymer L. FriedellSamuel SpectorH. Michael Harrington
- Topics
- Radiomics and Machine Learning in Medical Imaging (3 papers)Carcinogens and Genotoxicity Assessment (3 papers)Advanced Radiotherapy Techniques (3 papers)
- Partner nations
- United States
In The Last Decade
Paul S. Lavik
13 papers receiving 117 citations
Peers
Comparison fields: 5 of 46
- Radiology, Nuclear Medicine and Imaging 55
- Pulmonary and Respiratory Medicine 47
- Surgery 37
- Cancer Research 28
- Physiology 26
Countries citing papers authored by Paul S. Lavik
This map shows the geographic impact of Paul S. Lavik'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 Paul S. Lavik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul S. Lavik more than expected).
Fields of papers citing papers by Paul S. Lavik
This network shows the impact of papers produced by Paul S. Lavik. 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 Paul S. Lavik. The network helps show where Paul S. Lavik may publish in the future.
Co-authorship network of co-authors of Paul S. Lavik
This figure shows the co-authorship network connecting the top 25 collaborators of Paul S. Lavik. A scholar is included among the top collaborators of Paul S. Lavik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul S. Lavik. Paul S. Lavik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 42 | |
| 5 | 17 | |
| 6 | A study of direct and indirect effects of irradiation on P32 incorporation by Ehrlich ascites tumor cells in vivo and in vitro. | 9 |
| 7 | Effect of irradiation on in vivo P32 incorporation by four types of ascites tumors. | 3 |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 18 | |
| 11 | THE DIFFERENTIAL EFFECT OF X-IRRADIATION ON THE INCORPORATION OF DESOXYRIBONUCLEIC ACID PRECURSORS | 0 |
| 12 | 2 | |
| 13 | 29 | |
| 14 | 29 | |
| 15 | USE OF I$sup 131$-LABELED PROTEIN IN THE STUDY OF PROTEIN DIGESTION AND ABSORPTION IN CHILDREN WITH AND WITHOUT CYSTIC FIBROSIS | 4 |
About Paul S. Lavik
Paul S. Lavik is a scholar working on Radiation, Geriatrics and Gerontology and Cancer Research, having authored 15 papers that have together received 171 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Advanced Radiotherapy Techniques (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (55 citations), Radiation (19 citations) and Cancer Research (28 citations). Paul S. Lavik has collaborated with scholars based in United States. Frequent co-authors include Antonio Rodríguez-Antúnez, Ranjit S. Dhaliwal, Gwynn Jelden, LeRoy W. Matthews, John E. Biaglow, Hymer L. Friedell, Samuel Spector, H. Michael Harrington, John L. Horton and Frank L. Weakley. Their work appears in journals such as New England Journal of Medicine, PEDIATRICS and Radiology.
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.