Jamie E. Kugler

462 total citations
11 papers, 289 citations indexed

About

Jamie E. Kugler is a scholar working on Molecular Biology, Global and Planetary Change and Cell Biology. According to data from OpenAlex, Jamie E. Kugler has authored 11 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Global and Planetary Change and 3 papers in Cell Biology. Recurrent topics in Jamie E. Kugler's work include Developmental Biology and Gene Regulation (8 papers), RNA Research and Splicing (5 papers) and Marine Ecology and Invasive Species (4 papers). Jamie E. Kugler is often cited by papers focused on Developmental Biology and Gene Regulation (8 papers), RNA Research and Splicing (5 papers) and Marine Ecology and Invasive Species (4 papers). Jamie E. Kugler collaborates with scholars based in United States and Norway. Jamie E. Kugler's co-authors include Anna Di Gregorio, Michael Bustin, Yale J. Passamaneck, Tao Deng, Izumi Oda‐Ishii, Pierre Kerner, Di Jiang, Yutaka Nibu, Wei Deng and Stefania Asciutti and has published in prestigious journals such as Journal of Cell Science, PLoS Biology and Developmental Biology.

In The Last Decade

Jamie E. Kugler

11 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie E. Kugler United States 9 239 72 38 33 23 11 289
Naoe Harafuji United States 8 280 1.2× 64 0.9× 34 0.9× 83 2.5× 39 1.7× 16 329
Hsien-Chao Chou United States 9 215 0.9× 33 0.5× 14 0.4× 28 0.8× 36 1.6× 19 301
Keiji Miura Japan 10 205 0.9× 39 0.5× 35 0.9× 47 1.4× 23 1.0× 12 386
Shu-Yu Wu United States 13 288 1.2× 24 0.3× 68 1.8× 54 1.6× 33 1.4× 22 420
Nicole Kaplan United States 9 238 1.0× 24 0.3× 86 2.3× 31 0.9× 20 0.9× 13 294
T. Blair Gainous United States 4 225 0.9× 68 0.9× 25 0.7× 33 1.0× 9 0.4× 4 251
Izumi Oda‐Ishii Japan 14 475 2.0× 198 2.8× 53 1.4× 116 3.5× 9 0.4× 23 532
Yizhu Li Germany 6 154 0.6× 46 0.6× 39 1.0× 32 1.0× 23 1.0× 11 298
Jérôme Cartry France 8 247 1.0× 22 0.3× 41 1.1× 92 2.8× 25 1.1× 15 390
Mohamed Bouzaffour France 5 200 0.8× 27 0.4× 72 1.9× 20 0.6× 30 1.3× 7 336

Countries citing papers authored by Jamie E. Kugler

Since Specialization
Citations

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

Fields of papers citing papers by Jamie E. Kugler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie E. Kugler. 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 Jamie E. Kugler. The network helps show where Jamie E. Kugler may publish in the future.

Co-authorship network of co-authors of Jamie E. Kugler

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie E. Kugler. A scholar is included among the top collaborators of Jamie E. Kugler 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 Jamie E. Kugler. Jamie E. Kugler 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
1.
Kugler, Jamie E., et al.. (2019). Positioning a multifunctional basic helix-loop-helix transcription factor within the Ciona notochord gene regulatory network. Developmental Biology. 448(2). 119–135. 7 indexed citations
2.
Kugler, Jamie E., Yuri V. Postnikov, Takashi Furusawa, Shioko Kimura, & Michael Bustin. (2017). Elevated HMGN4 expression potentiates thyroid tumorigenesis. Carcinogenesis. 38(4). 391–401. 11 indexed citations
3.
Oda‐Ishii, Izumi, et al.. (2015). Brachyury, Foxa2 and the cis-Regulatory Origins of the Notochord. PLoS Genetics. 11(12). e1005730–e1005730. 31 indexed citations
4.
Aihara, Hitoshi, Yale J. Passamaneck, Jamie E. Kugler, et al.. (2013). Functional Brachyury Binding Sites Establish a Temporal Read-out of Gene Expression in the Ciona Notochord. PLoS Biology. 11(10). e1001697–e1001697. 35 indexed citations
5.
Kugler, Jamie E., Tao Deng, & Michael Bustin. (2012). The HMGN family of chromatin-binding proteins: Dynamic modulators of epigenetic processes. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1819(7). 652–656. 48 indexed citations
8.
Kugler, Jamie E., et al.. (2011). Evolutionary changes in the notochord genetic toolkit: a comparative analysis of notochord genes in the ascidian Ciona and the larvacean Oikopleura. BMC Evolutionary Biology. 11(1). 21–21. 29 indexed citations
9.
Kugler, Jamie E., et al.. (2010). Temporal regulation of the muscle gene cascade by Macho1 and Tbx6 transcription factors inCiona intestinalis. Journal of Cell Science. 123(14). 2453–2463. 26 indexed citations
10.
Kugler, Jamie E., et al.. (2008). Evolutionary conservation of vertebrate notochord genes in the ascidian Ciona intestinalis. genesis. 46(11). 697–710. 31 indexed citations
11.
Capellini, Terence D., Rediet Zewdu, Giuseppina Di Giacomo, et al.. (2008). Pbx1/Pbx2 govern axial skeletal development by controlling Polycomb and Hox in mesoderm and Pax1/Pax9 in sclerotome. Developmental Biology. 321(2). 500–514. 37 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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