David S. Koos

1.6k total citations
17 papers, 1.3k citations indexed

About

David S. Koos is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, David S. Koos has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Sensory Systems. Recurrent topics in David S. Koos's work include Neurobiology and Insect Physiology Research (4 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Olfactory and Sensory Function Studies (4 papers). David S. Koos is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Olfactory and Sensory Function Studies (4 papers). David S. Koos collaborates with scholars based in United States, Poland and France. David S. Koos's co-authors include Scott E. Fraser, Robert K. Ho, Thai V. Truong, John M. Choi, Willy Supatto, Steve M. Potter, Chen Zheng, Peter Mombaerts, Paul Feinstein and Cambrian Y. Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

David S. Koos

17 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David S. Koos United States	14	589	398	362	303	259	17	1.3k
Nicolas Michalski France	19	704 1.2×	190 0.5×	952 2.6×	70 0.2×	141 0.5×	27	1.5k
Ximena Ibarra-Soria United Kingdom	15	831 1.4×	366 0.9×	476 1.3×	80 0.3×	143 0.6×	19	1.5k
Jason R. Meyers United States	13	999 1.7×	259 0.7×	449 1.2×	40 0.1×	103 0.4×	15	1.7k
David Zenisek United States	25	1.9k 3.2×	1.3k 3.3×	274 0.8×	162 0.5×	73 0.3×	44	2.6k
Satoshi Fujimoto Japan	10	516 0.9×	343 0.9×	52 0.1×	480 1.6×	255 1.0×	20	1.2k
Joseph L. Dynes United States	14	601 1.0×	287 0.7×	156 0.4×	86 0.3×	68 0.3×	17	1.1k
Hitoshi Tatsumi Japan	24	1.0k 1.8×	467 1.2×	106 0.3×	136 0.4×	263 1.0×	63	2.4k
M. Cope United States	21	1.5k 2.5×	102 0.3×	357 1.0×	74 0.2×	159 0.6×	30	2.4k
Henry Haeberle United States	11	400 0.7×	156 0.4×	227 0.6×	77 0.3×	145 0.6×	12	911
Ruben Stepanyan United States	15	519 0.9×	128 0.3×	588 1.6×	35 0.1×	170 0.7×	28	1.3k

Countries citing papers authored by David S. Koos

Since Specialization

Citations

This map shows the geographic impact of David S. Koos'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 David S. Koos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Koos more than expected).

Fields of papers citing papers by David S. Koos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Koos. 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 David S. Koos. The network helps show where David S. Koos may publish in the future.

Co-authorship network of co-authors of David S. Koos

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Koos. A scholar is included among the top collaborators of David S. Koos 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 David S. Koos. David S. Koos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Miller, Robert J., Daniel C. Reed, Filipe Alberto, et al.. (2024). Heat stress analysis suggests a genetic basis for tolerance in Macrocystis pyrifera across developmental stages. Communications Biology. 7(1). 1147–1147. 4 indexed citations

Koos, David S., et al.. (2023). Episodic live imaging of cone photoreceptor maturation in GNAT2-EGFP retinal organoids. Disease Models & Mechanisms. 16(11). 2 indexed citations

Browne, Andrew, Juan Carlos Martı́nez, Harvey Pollack, et al.. (2017). Structural and Functional Characterization of Human Stem-Cell-Derived Retinal Organoids by Live Imaging.. PubMed. 58(9). 3311–3318. 72 indexed citations

Li, Yuwei, Vikas Trivedi, Thai V. Truong, et al.. (2015). Dynamic imaging of the growth plate cartilage reveals multiple contributors to skeletal morphogenesis. Nature Communications. 6(1). 6798–6798. 43 indexed citations

Koos, David S., et al.. (2012). Differential phase-contrast, swept-source optical coherence tomography at 1060 nm for in vivo human retinal and choroidal vasculature visualization. Journal of Biomedical Optics. 17(2). 26011–26011. 27 indexed citations

Liu, Cambrian Y., Cheng Xiao, Scott E. Fraser, Henry A. Lester, & David S. Koos. (2012). Electrophysiological characterization of Grueneberg ganglion olfactory neurons: spontaneous firing, sodium conductance, and hyperpolarization-activated currents. Journal of Neurophysiology. 108(5). 1318–1334. 14 indexed citations

Truong, Thai V., Willy Supatto, David S. Koos, John M. Choi, & Scott E. Fraser. (2011). Deep and fast live imaging with two-photon scanned light-sheet microscopy. Nature Methods. 8(9). 757–760. 357 indexed citations

Moats, Rex, James W. Hugg, Dirk Meier, et al.. (2011). Basic design and simulation of a SPECT microscope for in vivo stem cell imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7961. 79614B–79614B. 1 indexed citations

Liu, Cambrian Y., Scott E. Fraser, & David S. Koos. (2009). Grueneberg ganglion olfactory subsystem employs a cGMP signaling pathway. The Journal of Comparative Neurology. 516(1). 36–48. 48 indexed citations

10.

Koos, David S. & Scott E. Fraser. (2005). The Grueneberg ganglion projects to the olfactory bulb. Neuroreport. 16(17). 1929–1932. 60 indexed citations

11.

Keegan, Brian R., Jessica L. Feldman, David S. Koos, et al.. (2002). The elongation factors Pandora/Spt6 and Foggy/Spt5 promote transcription in the zebrafish embryo. Development. 129(7). 1623–1632. 93 indexed citations

12.

Potter, Steve M., Chen Zheng, David S. Koos, et al.. (2001). Structure and Emergence of Specific Olfactory Glomeruli in the Mouse. Journal of Neuroscience. 21(24). 9713–9723. 285 indexed citations

13.

Koos, David S. & Robert K. Ho. (1999). The nieuwkoid/dharma Homeobox Gene Is Essential for bmp2b Repression in the Zebrafish Pregastrula. Developmental Biology. 215(2). 190–207. 77 indexed citations

14.

Koos, David S. & Robert K. Ho. (1998). The nieuwkoid gene characterizes and mediates a Nieuwkoop-center-like activity in the zebrafish. Current Biology. 8(22). 1199–1206. 71 indexed citations

15.

Kusumi, Kenro, Jennifer S. Smith, Julia A. Segre, David S. Koos, & Eric S. Lander. (1993). Construction of a large-insert yeast artificial chromosome library of the mouse genome. Mammalian Genome. 4(7). 391–392. 73 indexed citations

16.

Rossi, J M, et al.. (1992). Genomic analysis using a yeast artificial chromosome library with mouse DNA inserts.. Proceedings of the National Academy of Sciences. 89(6). 2456–2460. 46 indexed citations

17.

Burke, David, et al.. (1991). A mouse genomic library of yeast artificial chromosome clones. Mammalian Genome. 1(1). 65–65. 50 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.

Explore authors with similar magnitude of impact