Kenro Kusumi

7.1k total citations · 3 hit papers
77 papers, 5.4k citations indexed

About

Kenro Kusumi is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Kenro Kusumi has authored 77 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 26 papers in Genetics and 13 papers in Surgery. Recurrent topics in Kenro Kusumi's work include Developmental Biology and Gene Regulation (23 papers), Congenital heart defects research (15 papers) and Connective tissue disorders research (11 papers). Kenro Kusumi is often cited by papers focused on Developmental Biology and Gene Regulation (23 papers), Congenital heart defects research (15 papers) and Connective tissue disorders research (11 papers). Kenro Kusumi collaborates with scholars based in United States, Australia and United Kingdom. Kenro Kusumi's co-authors include Eric S. Lander, Peter D. Turnpenny, John P. Dormans, Sally L. Dunwoodie, Bruce A. Hamilton, Michael R. Tracy, Victor J. Dzau, Stephen E. Lincoln, Detlev Ganten and Sian Ellard and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Kenro Kusumi

74 papers receiving 5.2k citations

Hit Papers

Genetic mapping of a gene causing hypertension in the str... 1991 2026 2002 2014 1991 1994 1991 100 200 300 400 500

Peers

Kenro Kusumi
Dirk Meyer Germany
Michael V. Wiles United States
Clive Dickson United Kingdom
Chen‐Ming Fan United States
N G Copeland United States
Kenro Kusumi
Citations per year, relative to Kenro Kusumi Kenro Kusumi (= 1×) peers Jean‐Louis Guénet

Countries citing papers authored by Kenro Kusumi

Since Specialization
Citations

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

Fields of papers citing papers by Kenro Kusumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenro Kusumi. 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 Kenro Kusumi. The network helps show where Kenro Kusumi may publish in the future.

Co-authorship network of co-authors of Kenro Kusumi

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

All Works

20 of 20 papers shown
1.
Telemeco, Rory S., Mariana B. Grizante, Damien S. Waits, et al.. (2021). A chromosome-level genome assembly for the eastern fence lizard ( Sceloporus undulatus ), a reptile model for physiological and evolutionary ecology. GigaScience. 10(10). 19 indexed citations
2.
Shan, Xianghong, et al.. (2018). Anolis carolinensis as a model to understand the molecular and cellular basis of foveal development. Experimental Eye Research. 173. 138–147. 12 indexed citations
3.
Giampietro, Philip F., Olivier Pourquié, Shiro Ikegawa, et al.. (2017). Summary of the first inaugural joint meeting of the International Consortium for scoliosis genetics and the International Consortium for vertebral anomalies and scoliosis, March 16–18, 2017, Dallas, Texas. American Journal of Medical Genetics Part A. 176(1). 253–256. 5 indexed citations
4.
Rupp, Shawn, Timothy H. Webster, Kimberly C. Olney, et al.. (2016). Evolution of dosage compensation in Anolis carolinensis , a reptile with XX/XY chromosomal sex determination. Genome Biology and Evolution. 9(1). evw263–evw263. 26 indexed citations
5.
Hutchins, Elizabeth, Walter L. Eckalbar, Justin M. Wolter, Marco Mangone, & Kenro Kusumi. (2016). Differential expression of conserved and novel microRNAs during tail regeneration in the lizard Anolis carolinensis. BMC Genomics. 17(1). 339–339. 31 indexed citations
6.
Eckalbar, Walter L., Rebecca E. Fisher, Alan Rawls, & Kenro Kusumi. (2012). Scoliosis and segmentation defects of the vertebrae. Wiley Interdisciplinary Reviews Developmental Biology. 1(3). 401–423. 39 indexed citations
7.
Kusumi, Kenro, Rob J. Kulathinal, Arhat Abzhanov, et al.. (2011). Developing a community-based genetic nomenclature for anole lizards. BMC Genomics. 12(1). 554–554. 17 indexed citations
8.
Eckalbar, Walter L., Carlos R. Infante, Ruth M. Elsey, et al.. (2011). Somitogenesis in the anole lizard and alligator reveals evolutionary convergence and divergence in the amniote segmentation clock. Developmental Biology. 363(1). 308–319. 45 indexed citations
9.
Eckalbar, Walter L., Carlos R. Infante, Dale F. DeNardo, et al.. (2011). Major shifts in the evolution of somitogenesis: The reptile Anolis carolinensis represents a fourth type of segmentation clock among vertebrates. Developmental Biology. 356(1). 254–254. 2 indexed citations
10.
Fisher, Rebecca E., Heather F. Smith, Kenro Kusumi, et al.. (2011). Mutations in the Notch Pathway Alter the Patterning of Multifidus. The Anatomical Record. 295(1). 32–39. 5 indexed citations
11.
Markov, Glenn J., Rajani M. George, Michael J. Ammar, et al.. (2010). Developmental gene activation in tail regeneration in the lizard, Anolis carolinensis. Developmental Biology. 344(1). 519–520. 2 indexed citations
12.
Markov, Vladimir, Kenro Kusumi, Mahlet G. Tadesse, et al.. (2007). Identification of Cord Blood-Derived Mesenchymal Stem/stromal Cell Populations with Distinct Growth Kinetics, Differentiation Potentials, and Gene Expression Profiles. Stem Cells and Development. 16(1). 53–74. 75 indexed citations
13.
William, Dilusha A., B. Saitta, Joshua D. Gibson, et al.. (2007). Identification of oscillatory genes in somitogenesis from functional genomic analysis of a human mesenchymal stem cell model. Developmental Biology. 305(1). 172–186. 48 indexed citations
14.
Kusumi, Kenro & Peter D. Turnpenny. (2007). Formation Errors of the Vertebral Column. Journal of Bone and Joint Surgery. 89(suppl_1). 64–71. 21 indexed citations
15.
Sewell, William F. & Kenro Kusumi. (2007). Genetic analysis of molecular oscillators in mammalian somitogenesis: Clues for studies of human vertebral disorders. Birth Defects Research Part C Embryo Today Reviews. 81(2). 111–120. 8 indexed citations
17.
Sparrow, Duncan B., Melanie Clements, Sarah L. Withington, et al.. (2002). Diverse requirements for Notch signalling in mammals. The International Journal of Developmental Biology. 46(4). 365–374. 24 indexed citations
18.
Kusumi, Kenro, Sally L. Dunwoodie, & Robb Krumlauf. (2001). Dynamic expression patterns of the pudgy/spondylocostal dysostosis gene Dll3 in the developing nervous system. Mechanisms of Development. 100(1). 141–144. 19 indexed citations
19.
Hamilton, Bruce A., Wayne N. Frankel, Anne W. Kerrebrock, et al.. (1996). Correction: Disruption of the nuclear hormone receptor RORα in staggerer mice (Nature Journal (1996) 379 (736-739)). Nature. 381(6580). 31 indexed citations
20.
Kusumi, Kenro, et al.. (1989). RESPONSE OF THE TARSAL CONTACT CHEMORECEPTOR OF THE Citrus-FEEDING SWALLOWTAIL BUTTERFLY RELEASING THE OVIPOSITION BEHAVIOR : Physiology : Abstracts of papers presented at the 60th Annual Meeting of the Zoological Society of Japan. ZOOLOGICAL SCIENCE. 6(6). 1076. 4 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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