Kyle Serikawa

2.3k total citations · 1 hit paper
28 papers, 1.6k citations indexed

About

Kyle Serikawa is a scholar working on Molecular Biology, Plant Science and Oceanography. According to data from OpenAlex, Kyle Serikawa has authored 28 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Plant Science and 4 papers in Oceanography. Recurrent topics in Kyle Serikawa's work include Plant Molecular Biology Research (7 papers), Marine and coastal plant biology (4 papers) and Plant Reproductive Biology (4 papers). Kyle Serikawa is often cited by papers focused on Plant Molecular Biology Research (7 papers), Marine and coastal plant biology (4 papers) and Plant Reproductive Biology (4 papers). Kyle Serikawa collaborates with scholars based in United States, Denmark and Germany. Kyle Serikawa's co-authors include Cynthia Lincoln, Sarah Hake, Judy Yamaguchi, Jeffrey C. Long, Patricia Zambryski, Dina F. Mandoli, Antonio Martı́nez-Laborda, G. Lynn Law, Vivian L. MacKay and David Morris and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Cell and Development.

In The Last Decade

Kyle Serikawa

27 papers receiving 1.5k citations

Hit Papers

A knotted1-like homeobox gene in Arabidopsis is expressed... 1994 2026 2004 2015 1994 100 200 300 400 500

Peers

Kyle Serikawa
Martin Bayer Germany
Franz Wittwer Switzerland
Tony P. Hodge United Kingdom
Diana F. Colgan United States
Kyle Serikawa
Citations per year, relative to Kyle Serikawa Kyle Serikawa (= 1×) peers Daisuke Kurihara

Countries citing papers authored by Kyle Serikawa

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Serikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Serikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Serikawa. A scholar is included among the top collaborators of Kyle Serikawa 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 Kyle Serikawa. Kyle Serikawa 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.
Hargreaves, Adam D, Long Zhou, Ferdinand Marlétaz, et al.. (2017). Genome sequence of a diabetes-prone rodent reveals a mutation hotspot around the ParaHox gene cluster. Proceedings of the National Academy of Sciences. 114(29). 7677–7682. 24 indexed citations
2.
Maier, R., Anja A. Kühl, Kyle Serikawa, et al.. (2016). Anti-RANKL treatment inhibits erosive joint destruction and lowers inflammation but has no effect on bone formation in the delayed-type hypersensitivity arthritis (DTHA) model. Arthritis Research & Therapy. 18(1). 28–28. 7 indexed citations
3.
Stittrich, Anna, J. R. Ashworth, Mude Shi, et al.. (2016). Genomic architecture of inflammatory bowel disease in five families with multiple affected individuals. Human Genome Variation. 3(1). 15060–15060. 11 indexed citations
4.
Kutlu, Burak, Brian A. Fox, Kyle Serikawa, et al.. (2015). High-Resolution Gene Expression Profiling Using RNA Sequencing in Patients With Inflammatory Bowel Disease and in Mouse Models of Colitis. Journal of Crohn s and Colitis. 9(6). 492–506. 51 indexed citations
5.
Serikawa, Kyle, Søren Jacobsen, Dorthe Lundsgaard, et al.. (2012). Detection of gene expression signatures related to underlying disease and treatment in rheumatoid arthritis patients. Modern Rheumatology. 23(4). 729–740. 6 indexed citations
6.
Winrow, Christopher J., Keith Q. Tanis, Alison Rigby, et al.. (2009). Refined anatomical isolation of functional sleep circuits exhibits distinctive regional and circadian gene transcriptional profiles. Brain Research. 1271. 1–17. 13 indexed citations
7.
Malkov, Vladislav A., Kyle Serikawa, James Watters, et al.. (2009). Multiplexed measurements of gene signatures in different analytes using the Nanostring nCounter™ Assay System. BMC Research Notes. 2(1). 80–80. 120 indexed citations
8.
Saadi, Amel, Madhumita Das, Nicholas J. Clemons, et al.. (2007). A potential role for Periostin in Barrett’s carcinogenesis. Cancer Epidemiology and Prevention Biomarkers. 16.
9.
Kerr, Kathleen F., Kyle Serikawa, Caimiao Wei, Mette A. Peters, & Roger E. Bumgarner. (2007). What Is the Best Reference RNA? And Other Questions Regarding the Design and Analysis of Two-color Microarray Experiments. OMICS A Journal of Integrative Biology. 11(2). 152–165. 14 indexed citations
10.
Flory, Mark R., Hookeun Lee, Richard Bonneau, et al.. (2006). Quantitative proteomic analysis of the budding yeast cell cycle using acid‐cleavable isotope‐coded affinity tag reagents. PROTEOMICS. 6(23). 6146–6157. 34 indexed citations
11.
Buroker, Norman E., Martin E. Young, Caimiao Wei, et al.. (2006). The dominant negative thyroid hormone receptor β-mutant Δ337T alters PPARα signaling in heart. American Journal of Physiology-Endocrinology and Metabolism. 292(2). E453–E460. 21 indexed citations
12.
MacKay, Vivian L., Xiaohong Li, Mark R. Flory, et al.. (2004). Gene Expression Analyzed by High-resolution State Array Analysis and Quantitative Proteomics. Molecular & Cellular Proteomics. 3(5). 478–489. 149 indexed citations
13.
Serikawa, Kyle, Xie L. Xu, Vivian L. MacKay, et al.. (2003). The Transcriptome and Its Translation during Recovery from Cell Cycle Arrest in Saccharomyces cerevisiae. Molecular & Cellular Proteomics. 2(3). 191–204. 47 indexed citations
14.
Durfee, Tim, Judith L. Roe, Carla Inouye, et al.. (2003). The F-box-containing protein UFO and AGAMOUS participate in antagonistic pathways governing early petal development in Arabidopsis. Proceedings of the National Academy of Sciences. 100(14). 8571–8576. 66 indexed citations
15.
Serikawa, Kyle, D. Marshall Porterfield, Peter J. Smith, & Dina F. Mandoli. (2000). Calcification and measurements of net proton and oxygen flux reveal subcellular domains in Acetabularia acetabulum. Planta. 211(4). 474–483. 14 indexed citations
16.
Serikawa, Kyle & Dina F. Mandoli. (1999). Aaknox1, a kn1-like homeobox gene in Acetabularia acetabulum, undergoes developmentally regulated subcellular localization. Plant Molecular Biology. 41(6). 785–793. 24 indexed citations
18.
Serikawa, Kyle, Antonio Martı́nez-Laborda, Han‐Suk Kim, & Patricia Zambryski. (1997). Localization of expression of KNAT3, a class 2 knotted1‐like gene. The Plant Journal. 11(4). 853–861. 58 indexed citations
19.
Serikawa, Kyle, Antonio Martı́nez-Laborda, & Patricia Zambryski. (1996). Three knotted1-like homeobox genes in Arabidopsis. Plant Molecular Biology. 32(4). 673–683. 48 indexed citations
20.
Chang, Wesley, Kyle Serikawa, Karen E. Allen, & David Bentley. (1992). Disruption of pioneer growth cone guidance in vivo by removal of glycosyl phosphatidylinositol-anchored cell surface proteins. Development. 114(2). 507–519. 35 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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