Daniel Fasulo
Impact in
- Molecular Biology top 0.5%
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- RNA Research and Splicing
- Genetics top 0.5%
Papers in
-
- Genomics and Phylogenetic Studies 9
- Bioinformatics and Genomic Networks 4
- Genomics and Chromatin Dynamics 4
- Gene expression and cancer classification 3
- Metabolomics and Mass Spectrometry Studies 3
- Co-authors
- Lori M. Gladney (1 shared paper)Nancy Strockbine (1 shared paper)Rebecca L. Lindsey (1 shared paper)Adam P. Matson (1 shared paper)Randall A. Bolanos (1 shared paper)Eric W. Jackson (1 shared paper)Aaron L. Halpern (3 shared papers)Clark M. Mobarry (1 shared paper)
- Journals
- Journal of Computational Biology (3 papers)Science (2 papers)Bioinformatics (2 papers)mBio (1 paper)IEEE Computer Graphics and Applications (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Daniel Fasulo
20 papers receiving 9.8k citations
Daniel Fasulo's Hit Papers
Peers
Comparison fields: 5 of 197
- Molecular Biology 7.4k
- Genetics 2.6k
- Cancer Research 740
- Aging 71
- Plant Science 1.2k
Countries citing papers authored by Daniel Fasulo
This map shows the geographic impact of Daniel Fasulo'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 Daniel Fasulo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Fasulo more than expected).
Fields of papers citing papers by Daniel Fasulo
This network shows the impact of papers produced by Daniel Fasulo. 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 Daniel Fasulo. The network helps show where Daniel Fasulo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Fasulo, 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 Sequence of the Human Genome Hit paper breakdown → | 2001 | 10025 |
| 2 | 2002 | 277 | |
| 3 | 2004 | 131 | |
| 4 | 2017 | 73 | |
| 5 | 2021 | 37 | |
| 6 | 2007 | 26 | |
| 7 | 1996 | 19 | |
| 8 | 2010 | 15 | |
| 9 | 2002 | 14 | |
| 10 | 2013 | 10 | |
| 11 | 2007 | 6 | |
| 12 | 2002 | 6 | |
| 13 | 1999 | 6 | |
| 14 | 1997 | 5 | |
| 15 | 2011 | 4 | |
| 16 | 2006 | 4 | |
| 17 | 2001 | 3 | |
| 18 | 2007 | 3 | |
| 19 | Algorithms for dna restriction mapping | 2000 | 2 |
| 20 | 2006 | 1 |
About Daniel Fasulo
Daniel Fasulo is a scholar working on Molecular Biology, Endocrinology, Spectroscopy, Genetics and Genetics, having authored 20 papers that have together received 10.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Bioinformatics and Genomic Networks (4 papers), Genomics and Chromatin Dynamics (4 papers), Gene expression and cancer classification (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Molecular Biology (7.4k citations), Genetics (2.6k citations), Cancer Research (740 citations), Aging (71 citations) and Plant Science (1.2k citations). Daniel Fasulo has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Lori M. Gladney, Nancy Strockbine, Rebecca L. Lindsey, Adam P. Matson, Randall A. Bolanos, Eric W. Jackson, Aaron L. Halpern, Clark M. Mobarry, Nagender Ledala and Joerg Graf. Their work appears in journals such as Journal of Computational Biology, Science, Bioinformatics, mBio and IEEE Computer Graphics and Applications.
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.