Dave Kosman

1.8k total citations
11 papers, 1.5k citations indexed

About

Dave Kosman is a scholar working on Molecular Biology, Geometry and Topology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dave Kosman has authored 11 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Geometry and Topology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dave Kosman's work include Developmental Biology and Gene Regulation (5 papers), Morphological variations and asymmetry (2 papers) and Single-cell and spatial transcriptomics (2 papers). Dave Kosman is often cited by papers focused on Developmental Biology and Gene Regulation (5 papers), Morphological variations and asymmetry (2 papers) and Single-cell and spatial transcriptomics (2 papers). Dave Kosman collaborates with scholars based in United States, Russia and Brazil. Dave Kosman's co-authors include Y. Tony Ip, Michael Levine, Ethan Bier, Jin Jiang, William McGinnis, Derek Lemons, William G. Cox, Claudia Mieko Mizutani, John Reinitz and Maria Samsonova and has published in prestigious journals such as Science, Genes & Development and Development.

In The Last Decade

Dave Kosman

11 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dave Kosman 1.3k 269 234 230 147 11 1.5k
Yacine Graba 1.5k 1.1× 368 1.4× 277 1.2× 174 0.8× 213 1.4× 60 1.7k
Ann S. Hammonds 999 0.7× 307 1.1× 598 2.6× 253 1.1× 127 0.9× 25 1.6k
Robert P. Zinzen 2.1k 1.6× 310 1.2× 204 0.9× 334 1.5× 148 1.0× 26 2.3k
Renjie Jiao 1.1k 0.8× 187 0.7× 177 0.8× 171 0.7× 160 1.1× 39 1.3k
Marc S. Halfon 1.9k 1.4× 351 1.3× 461 2.0× 362 1.6× 232 1.6× 55 2.3k
Dmitri Papatsenko 2.1k 1.5× 343 1.3× 485 2.1× 330 1.4× 285 1.9× 48 2.6k
Dieter Maier 1.5k 1.1× 246 0.9× 273 1.2× 133 0.6× 149 1.0× 62 1.7k
Cyrille Alexandre 1.8k 1.3× 270 1.0× 389 1.7× 157 0.7× 678 4.6× 29 2.1k
Samir Merabet 921 0.7× 269 1.0× 188 0.8× 75 0.3× 135 0.9× 43 1.0k
Makiko Seimiya 1.1k 0.8× 198 0.7× 228 1.0× 84 0.4× 157 1.1× 24 1.3k

Countries citing papers authored by Dave Kosman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Dave Kosman

This figure shows the co-authorship network connecting the top 25 collaborators of Dave Kosman. A scholar is included among the top collaborators of Dave Kosman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dave Kosman. Dave Kosman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Paré, Adam C., et al.. (2009). Visualization of Individual Scr mRNAs during Drosophila Embryogenesis Yields Evidence for Transcriptional Bursting. Current Biology. 19(23). 2037–2042. 90 indexed citations
3.
Janssens, Hilde, Dave Kosman, Carlos E. Vanario‐Alonso, et al.. (2005). A high-throughput method for quantifying gene expression data from early Drosophila embryos. Development Genes and Evolution. 215(7). 374–381. 57 indexed citations
4.
Kosman, Dave, Claudia Mieko Mizutani, Derek Lemons, et al.. (2004). Multiplex Detection of RNA Expression in Drosophila Embryos. Science. 305(5685). 846–846. 311 indexed citations
5.
Kozlov, Konstantin, Ekaterina Myasnikova, М. В. Самсонова, John Reinitz, & Dave Kosman. (2002). Fast redundant dyadic wavelet transform in application to spatial registration of the expression patterns of Drosophila segmentation genes. 3. 459–462. 9 indexed citations
6.
Myasnikova, Ekaterina, Dave Kosman, John Reinitz, & Maria Samsonova. (1999). Spatio-temporal registration of the expression patterns of Drosophila segmentation genes.. PubMed. 195–201. 24 indexed citations
7.
Strunk, Bethany S., Carla Margulies, Brandon Pabst, et al.. (1999). Transcriptional repression by theDrosophilaGiant protein:ciselement positioning provides an alternative means of interpreting an effector gradient. Development. 126(6). 1201–1210. 57 indexed citations
8.
Kosman, Dave, John Reinitz, & David H. Sharp. (1998). Automated assay of gene expression at cellular resolution.. PubMed. 6–17. 45 indexed citations
9.
Ip, Y. Tony, et al.. (1992). The dorsal gradient morphogen regulates stripes of rhomboid expression in the presumptive neuroectoderm of the Drosophila embryo.. Genes & Development. 6(9). 1728–1739. 284 indexed citations
10.
Ip, Y. Tony, et al.. (1992). dorsal-twist interactions establish snail expression in the presumptive mesoderm of the Drosophila embryo.. Genes & Development. 6(8). 1518–1530. 267 indexed citations
11.
Jiang, Jin, Dave Kosman, Y. Tony Ip, & Michael Levine. (1991). The dorsal morphogen gradient regulates the mesoderm determinant twist in early Drosophila embryos.. Genes & Development. 5(10). 1881–1891. 326 indexed citations

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.

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