Marc S. Greenblatt
- Molecular Biology top 1%
- Oncology top 0.5%
- Genetics top 0.5%
- Cancer Research top 0.5%
- Pathology and Forensic Medicine top 0.5%
- Co-authors
- C C HarrisW P BennettMonica HollsteinSean V. TavtigianJohan T. den DunnenRaymond DalgleishDonna MaglottAnne‐Françoise Roux
- Topics
- Genomics and Rare Diseases (23 papers)Genetic factors in colorectal cancer (22 papers)Cancer Genomics and Diagnostics (18 papers)
- Cited by
- Cancer ResearchOncologyGenetics
- Journals
- Nucleic Acids ResearchNature GeneticsSHILAP Revista de lepidopterología
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Marc S. Greenblatt
62 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 4.4k
- Oncology 3.3k
- Genetics 2.2k
- Cancer Research 2.0k
- Pathology and Forensic Medicine 1.3k
Countries citing papers authored by Marc S. Greenblatt
This map shows the geographic impact of Marc S. Greenblatt'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 Marc S. Greenblatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc S. Greenblatt more than expected).
Fields of papers citing papers by Marc S. Greenblatt
This network shows the impact of papers produced by Marc S. Greenblatt. 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 Marc S. Greenblatt. The network helps show where Marc S. Greenblatt may publish in the future.
Co-authorship network of co-authors of Marc S. Greenblatt
This figure shows the co-authorship network connecting the top 25 collaborators of Marc S. Greenblatt. A scholar is included among the top collaborators of Marc S. Greenblatt 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 Marc S. Greenblatt. Marc S. Greenblatt 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 | 5 | |
| 4 | 6 | |
| 5 | 16 | |
| 6 | Modeling the ACMG/AMP variant classification guidelines as a Bayesian classification frameworkbreakdown → | 279 |
| 7 | 11 | |
| 8 | 17 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 30 | |
| 12 | 30 | |
| 13 | Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test resultsbreakdown → | 582 |
| 14 | 60 | |
| 15 | 125 | |
| 16 | 7 | |
| 17 | 9 | |
| 18 | 54 | |
| 19 | 1 | |
| 20 | 16 |
About Marc S. Greenblatt
Marc S. Greenblatt is a scholar working on Cancer Research, Pathology and Forensic Medicine and Genetics, having authored 64 papers that have together received 7.8k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (23 papers), Genetic factors in colorectal cancer (22 papers) and Cancer Genomics and Diagnostics (18 papers). The work is most often cited by research in Cancer Research (2.0k citations), Oncology (3.3k citations) and Genetics (2.2k citations). Marc S. Greenblatt has collaborated with scholars based in United States, Australia and France. Frequent co-authors include C C Harris, W P Bennett, Monica Hollstein, Sean V. Tavtigian, Johan T. den Dunnen, Raymond Dalgleish, Donna Maglott, Anne‐Françoise Roux, Jean McGowan‐Jordan and Stylianos E. Antonarakis. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and SHILAP Revista de lepidopterología.
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.