Scott T. Michalski
- Genetics top 10%
- Pulmonary and Respiratory Medicine top 10%
- Oncology
- Cancer Research top 10%
- Molecular Biology
- Co-authors
- Edward D. EsplinShan YangRobert L. NussbaumErin O’LearyPiper NicolosiOliver SartorElisa M. LedetStephen E. Lincoln
- Topics
- BRCA gene mutations in cancer (13 papers)Cancer Genomics and Diagnostics (7 papers)Genetic factors in colorectal cancer (6 papers)
- Journals
- Journal of Clinical OncologyAmerican Journal of Obstetrics and GynecologyObstetrics and Gynecology
- Partner nations
- United StatesChileSingapore
In The Last Decade
Scott T. Michalski
20 papers receiving 566 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Genetics 262
- Pulmonary and Respiratory Medicine 214
- Oncology 172
- Cancer Research 172
- Molecular Biology 158
Countries citing papers authored by Scott T. Michalski
This map shows the geographic impact of Scott T. Michalski'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 Scott T. Michalski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott T. Michalski more than expected).
Fields of papers citing papers by Scott T. Michalski
This network shows the impact of papers produced by Scott T. Michalski. 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 Scott T. Michalski. The network helps show where Scott T. Michalski may publish in the future.
Co-authorship network of co-authors of Scott T. Michalski
This figure shows the co-authorship network connecting the top 25 collaborators of Scott T. Michalski. A scholar is included among the top collaborators of Scott T. Michalski 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 Scott T. Michalski. Scott T. Michalski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 7 | |
| 3 | 12 | |
| 4 | 14 | |
| 5 | 9 | |
| 6 | 27 | |
| 7 | 1 | |
| 8 | 78 | |
| 9 | 7 | |
| 10 | 12 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | Prevalence of Germline Variants in Prostate Cancer and Implications for Current Genetic Testing Guidelinesbreakdown → | 240 |
| 14 | 2 | |
| 15 | 50 | |
| 16 | 4 | |
| 17 | 47 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 35 |
About Scott T. Michalski
Scott T. Michalski is a scholar working on Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 21 papers that have together received 572 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (13 papers), Cancer Genomics and Diagnostics (7 papers) and Genetic factors in colorectal cancer (6 papers). The work is most often cited by research in Cancer Research (172 citations), Genetics (262 citations) and Pathology and Forensic Medicine (155 citations). Scott T. Michalski has collaborated with scholars based in United States, Chile and Singapore. Frequent co-authors include Edward D. Esplin, Shan Yang, Robert L. Nussbaum, Erin O’Leary, Piper Nicolosi, Oliver Sartor, Elisa M. Ledet, Stephen E. Lincoln, Sarah M. Nielsen and Richard M. Pauli. Their work appears in journals such as Journal of Clinical Oncology, American Journal of Obstetrics and Gynecology and Obstetrics and Gynecology.
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.