Marvin A. Kastenbaum
- Cancer Research top 5%
- Molecular Biology
- Plant Science top 10%
- Health, Toxicology and Mutagenesis top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- K.O. BowmanSourav RoyWilliam C. MoloneyDavid G. HoelTakashi MakinodanWilliam PetersonJ. W. ConklinDonald E. Lamphiear
- Topics
- Advanced Statistical Methods and Models (4 papers)Effects of Radiation Exposure (4 papers)Genomic variations and chromosomal abnormalities (3 papers)
- Partner nations
- United StatesChinaRussia
In The Last Decade
Marvin A. Kastenbaum
28 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Cancer Research 514
- Molecular Biology 511
- Plant Science 308
- Health, Toxicology and Mutagenesis 209
- Radiology, Nuclear Medicine and Imaging 161
Countries citing papers authored by Marvin A. Kastenbaum
This map shows the geographic impact of Marvin A. Kastenbaum'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 Marvin A. Kastenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marvin A. Kastenbaum more than expected).
Fields of papers citing papers by Marvin A. Kastenbaum
This network shows the impact of papers produced by Marvin A. Kastenbaum. 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 Marvin A. Kastenbaum. The network helps show where Marvin A. Kastenbaum may publish in the future.
Co-authorship network of co-authors of Marvin A. Kastenbaum
This figure shows the co-authorship network connecting the top 25 collaborators of Marvin A. Kastenbaum. A scholar is included among the top collaborators of Marvin A. Kastenbaum 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 Marvin A. Kastenbaum. Marvin A. Kastenbaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | Tables for determining the statistical significance of mutation frequenciesbreakdown → | 870 |
| 8 | 105 | |
| 9 | 1 | |
| 10 | Statistical analysis of the normal human karyotype. | 21 |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 64 | |
| 15 | 21 | |
| 16 | 30 | |
| 17 | 13 | |
| 18 | 5 | |
| 19 | 91 | |
| 20 | 63 |
About Marvin A. Kastenbaum
Marvin A. Kastenbaum is a scholar working on Statistics and Probability, Radiology, Nuclear Medicine and Imaging and Statistical and Nonlinear Physics, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (4 papers), Effects of Radiation Exposure (4 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Cancer Research (514 citations), Chemical Health and Safety (12 citations) and Health, Toxicology and Mutagenesis (209 citations). Marvin A. Kastenbaum has collaborated with scholars based in United States, China and Russia. Frequent co-authors include K.O. Bowman, Sourav Roy, William C. Moloney, David G. Hoel, Takashi Makinodan, William Peterson, J. W. Conklin, Donald E. Lamphiear, A. C. Upton and M. L. Randolph. Their work appears in journals such as Science, The Journal of Immunology and JNCI Journal of the National Cancer Institute.
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.