Mark J. Berger
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Genetics top 10%
- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
Papers in
-
- Wound Healing and Treatments 1
- Genetics 2
- Animal Genetics and Reproduction 1
- Genomic variations and chromosomal abnormalities 1
- Co-authors
- Gill Bejerano (2 shared papers)Harendra Guturu (2 shared papers)Aaron M. Wenger (2 shared papers)Karthik A. Jagadeesh (1 shared paper)Peter D. Stenson (1 shared paper)Jonathan Adam Bernstein (1 shared paper)D.N. Cooper (1 shared paper)Anoop Manjunath (1 shared paper)
- Journals
- Nature Genetics (1 paper)Science (1 paper)Cell stem cell (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Mark J. Berger
4 papers receiving 1.6k citations
Mark J. Berger's Hit Papers
Peers
Comparison fields: 5 of 90
- Cancer Research 190
- Genetics 340
- Molecular Biology 805
- Immunology 208
- Oncology 204
Countries citing papers authored by Mark J. Berger
This map shows the geographic impact of Mark J. Berger'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 Mark J. Berger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Berger more than expected).
Fields of papers citing papers by Mark J. Berger
This network shows the impact of papers produced by Mark J. Berger. 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 Mark J. Berger. The network helps show where Mark J. Berger may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark J. Berger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Single-cell transcriptional diversity is a hallmark of developmental potential Hit paper breakdown → | 2020 | 960 |
| 2 | M-CAP eliminates a majority of variants of uncertain significance in clinical exomes at high sensitivity Hit paper breakdown → | 2016 | 627 |
| 3 | 2023 | 17 | |
| 4 | 2018 | 14 |
About Mark J. Berger
Mark J. Berger is a scholar working on Rehabilitation, Genetics, Cancer Research, Molecular Biology and Oncology, having authored 4 papers that have together received 1.6k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (2 papers), Animal Genetics and Reproduction (1 paper), Cancer Genomics and Diagnostics (1 paper), Reconstructive Facial Surgery Techniques (1 paper), Cancer Cells and Metastasis (1 paper), Genomic variations and chromosomal abnormalities (1 paper), Wound Healing and Treatments (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Cancer Research (190 citations), Genetics (340 citations), Molecular Biology (805 citations), Immunology (208 citations) and Oncology (204 citations). Mark J. Berger has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Gill Bejerano, Harendra Guturu, Aaron M. Wenger, Karthik A. Jagadeesh, Peter D. Stenson, Jonathan Adam Bernstein, D.N. Cooper, Anoop Manjunath, Aaron M. Newman and Shang Cai. Their work appears in journals such as Nature Genetics, Science, Cell stem cell and Nucleic Acids Research.
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.