Jeff Delrow
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Developmental Neuroscience top 10%
Papers in
-
- Molecular Biology Techniques and Applications 3
- Gene expression and cancer classification 3
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
- Single-cell and spatial transcriptomics 1
- Oncology 2
- Co-authors
- Iestyn Whitehouse (1 shared paper)Toshio Tsukiyama (1 shared paper)Oliver J. Rando (1 shared paper)Olga Klezovitch (1 shared paper)Wen‐Hui Lien (1 shared paper)Valeri Vasioukhin (1 shared paper)Mark L. Hanke (1 shared paper)Frank Szulzewsky (1 shared paper)
- Journals
- Genes & Development (1 paper)Molecular Plant-Microbe Interactions (1 paper)BMC Genomics (1 paper)Nature Genetics (1 paper)Science (1 paper)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Jeff Delrow
14 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Genetics 198
- Developmental Neuroscience 69
- Immunology 261
- Molecular Biology 838
- Cancer Research 134
Countries citing papers authored by Jeff Delrow
This map shows the geographic impact of Jeff Delrow'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 Jeff Delrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Delrow more than expected).
Fields of papers citing papers by Jeff Delrow
This network shows the impact of papers produced by Jeff Delrow. 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 Jeff Delrow. The network helps show where Jeff Delrow may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Delrow, 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 | 2007 | 323 | |
| 2 | 2017 | 283 | |
| 3 | 2006 | 208 | |
| 4 | 2006 | 112 | |
| 5 | 2007 | 97 | |
| 6 | 2011 | 89 | |
| 7 | 2005 | 62 | |
| 8 | 2006 | 22 | |
| 9 | 2010 | 17 | |
| 10 | 2017 | 15 | |
| 11 | 2012 | 14 | |
| 12 | 2006 | 5 | |
| 13 | Changes in Gene Expression During the Recovery from Experimental Myopia | 2004 | 1 |
| 14 | 2001 | 1 |
About Jeff Delrow
Jeff Delrow is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Plant Science, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (3 papers), Gene expression and cancer classification (3 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), Single-cell and spatial transcriptomics (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Glioma Diagnosis and Treatment (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Genetics (198 citations), Developmental Neuroscience (69 citations), Immunology (261 citations), Molecular Biology (838 citations) and Cancer Research (134 citations). Jeff Delrow has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Iestyn Whitehouse, Toshio Tsukiyama, Oliver J. Rando, Olga Klezovitch, Wen‐Hui Lien, Valeri Vasioukhin, Mark L. Hanke, Frank Szulzewsky, Aparna Rao and Sonali Arora. Their work appears in journals such as Genes & Development, Molecular Plant-Microbe Interactions, BMC Genomics, Nature 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.