Dave Kosman
Impact in
- Molecular Biology top 5%
- Developmental Biology and Gene Regulation
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Gene Regulatory Network Analysis
- Aging top 10%
Papers in
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- Developmental Biology and Gene Regulation 5
- RNA Research and Splicing 2
- Single-cell and spatial transcriptomics 2
- Genomics and Chromatin Dynamics 2
- Wnt/β-catenin signaling in development and cancer 2
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- Morphological variations and asymmetry 2
- Co-authors
- Michael Levine (3 shared papers)Y. Tony Ip (3 shared papers)Ethan Bier (2 shared papers)Jin Jiang (1 shared paper)William McGinnis (3 shared papers)Derek Lemons (2 shared papers)Claudia Mieko Mizutani (1 shared paper)William G. Cox (1 shared paper)
- Journals
- Genes & Development (3 papers)G3 Genes Genomes Genetics (1 paper)Development (1 paper)Current Biology (1 paper)Development Genes and Evolution (1 paper)
- Partner nations
- United StatesRussiaBrazil
In The Last Decade
Dave Kosman
11 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 1.3k
- Aging 32
- Cellular and Molecular Neuroscience 231
- Biophysics 60
- Genetics 264
Countries citing papers authored by Dave Kosman
This map shows the geographic impact of Dave Kosman'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 Dave Kosman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave Kosman more than expected).
Fields of papers citing papers by Dave Kosman
This network shows the impact of papers produced by Dave Kosman. 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 Dave Kosman. The network helps show where Dave Kosman may publish in the future.
Co-authors
The 23 scholars most cited alongside Dave Kosman, 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 | 1991 | 333 | |
| 2 | 2004 | 317 | |
| 3 | 1992 | 288 | |
| 4 | 1992 | 273 | |
| 5 | 2009 | 93 | |
| 6 | 1999 | 57 | |
| 7 | 2005 | 57 | |
| 8 | Automated assay of gene expression at cellular resolution. | 1998 | 49 |
| 9 | Spatio-temporal registration of the expression patterns of Drosophila segmentation genes. | 1999 | 26 |
| 10 | 2002 | 11 | |
| 11 | 2021 | 5 |
About Dave Kosman
Dave Kosman is a scholar working on Molecular Biology, Geometry and Topology, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (5 papers), RNA Research and Splicing (2 papers), Morphological variations and asymmetry (2 papers), Single-cell and spatial transcriptomics (2 papers), Genomics and Chromatin Dynamics (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer-related molecular mechanisms research (1 paper) and Plant and Fungal Interactions Research (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Aging (32 citations), Cellular and Molecular Neuroscience (231 citations), Biophysics (60 citations) and Genetics (264 citations). Dave Kosman has collaborated with scholars based in United States, Russia and Brazil. Frequent co-authors include Michael Levine, Y. Tony Ip, Ethan Bier, Jin Jiang, William McGinnis, Derek Lemons, Claudia Mieko Mizutani, William G. Cox, John Reinitz and Yoav Freund. Their work appears in journals such as Genes & Development, G3 Genes Genomes Genetics, Development, Current Biology and Development Genes and Evolution.
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.