Marc S. Greenblatt

14.7k citations
64 papers · 7.8k indexed · 6 hit papers · h-index 25

Marc S. Greenblatt

62 papers receiving 7.7k citations

Hit Papers

Recommendations f...310199420262004201550010001.5k2.0k2.5k

Peers

Marc S. Greenblatt
Comparison fields: 5 of 130
  • Cancer Research 2.0k
  • Oncology 3.3k
  • Genetics 2.2k
  • Pathology and Forensic Medicine 1.3k
  • Biotechnology 595
Replace Graham Casey with:
Graham Casey United States
Harry Hollema Netherlands
Cheryl Gillett United Kingdom
Barry A. Gusterson United Kingdom
William F. Benedict United States
Brigitte Bressac–de Paillerets France
Charles Theillet France
Samuel Benchimol Canada
Yoshio Miki Japan
Roberta Maestro Italy
Marc S. Greenblatt relative to Graham Casey United States Graham Casey's profile →
Citations per field
00.5×2.8×
Graham Casey · 1×
Citations per year

Countries citing papers authored by Marc S. Greenblatt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Marc S. Greenblatt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marc S. Greenblatt Line = papers co-authored together Marc S. Greenblatt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20245
4 20246
5 202016
6
Modeling the ACMG/AMP variant classification guidelines as a Bayesian classification frameworkbreakdown →
2018279
7 201611
8 201617
9 20151
10 20150
11 201130
12 200830
13
Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test resultsbreakdown →
2008582
14 200860
15 2008125
16 20087
17 20079
18 200654
19 20041
20 199916

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), Cancer Genomics and Diagnostics (18 papers), Cancer-related Molecular Pathways (13 papers), BRCA gene mutations in cancer (11 papers), Genomics and Phylogenetic Studies (8 papers), Genomic variations and chromosomal abnormalities (7 papers) and DNA Repair Mechanisms (6 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 Human Mutation, Genetics in Medicine, Familial Cancer, Cancer Investigation and Oncogene.

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.

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