Greg Schuler
Impact in
- Molecular Biology top 5%
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Molecular Biology Techniques and Applications
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Gene Regulatory Network Analysis
- RNA and protein synthesis mechanisms
- Cancer Research top 10%
Papers in
-
- Genomics and Phylogenetic Studies 2
- Genetics 2
- Genomics and Rare Diseases 1
- Forensic and Genetic Research 1
- Genomic variations and chromosomal abnormalities 1
- Co-authors
- Patrick O. Brown (1 shared paper)Mark S. Boguski (1 shared paper)Deval Lashkari (1 shared paper)Michael B. Eisen (1 shared paper)Dari Shalon (1 shared paper)Jeffrey M. Trent (1 shared paper)David Botstein (1 shared paper)Vishwanath R. Iyer (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Annals of Human Genetics (1 paper)Trends in Genetics (1 paper)Science (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Greg Schuler
4 papers receiving 1.7k citations
Greg Schuler's Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 1.3k
- Cancer Research 145
- Rehabilitation 62
- Genetics 204
- Cell Biology 119
Countries citing papers authored by Greg Schuler
This map shows the geographic impact of Greg Schuler'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 Greg Schuler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Schuler more than expected).
Fields of papers citing papers by Greg Schuler
This network shows the impact of papers produced by Greg Schuler. 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 Greg Schuler. The network helps show where Greg Schuler may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Schuler, 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 | The Transcriptional Program in the Response of Human Fibroblasts to Serum Hit paper breakdown → | 1999 | 1716 |
| 2 | 2002 | 83 | |
| 3 | 1998 | 10 | |
| 4 | 1999 | 10 |
About Greg Schuler
Greg Schuler is a scholar working on Molecular Biology, Genetics, Rehabilitation, Oncology and Immunology, having authored 4 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Genomics and Rare Diseases (1 paper), Forensic and Genetic Research (1 paper), NF-κB Signaling Pathways (1 paper), Immunotherapy and Immune Responses (1 paper), Wound Healing and Treatments (1 paper), Genomic variations and chromosomal abnormalities (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Cancer Research (145 citations), Rehabilitation (62 citations), Genetics (204 citations) and Cell Biology (119 citations). Greg Schuler has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Patrick O. Brown, Mark S. Boguski, Deval Lashkari, Michael B. Eisen, Dari Shalon, Jeffrey M. Trent, David Botstein, Vishwanath R. Iyer, Troy Moore and James R. Hudson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Annals of Human Genetics, Trends in Genetics and Science.
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.