Nobuaki Kikyo

2.3k total citations
46 papers, 1.8k citations indexed

About

Nobuaki Kikyo is a scholar working on Molecular Biology, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nobuaki Kikyo has authored 46 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 8 papers in Physiology and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nobuaki Kikyo's work include Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (13 papers) and Genomics and Chromatin Dynamics (9 papers). Nobuaki Kikyo is often cited by papers focused on Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (13 papers) and Genomics and Chromatin Dynamics (9 papers). Nobuaki Kikyo collaborates with scholars based in United States, Japan and United Kingdom. Nobuaki Kikyo's co-authors include Alan P. Wolffe, Hiroyuki Hirai, Nobuko Katoku-Kikyo, Paul A. Wade, Dmitry Guschin, Hiroshi Tamada, Catherine Lee, Hui Ge, T. Tani and Liudmila Romanova and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Nobuaki Kikyo

45 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nobuaki Kikyo United States	24	1.5k	309	276	170	152	46	1.8k
Tomokazu Amano United States	18	1.2k 0.8×	232 0.8×	377 1.4×	156 0.9×	83 0.5×	36	1.9k
Laurent Cronier France	26	1.1k 0.7×	117 0.4×	132 0.5×	125 0.7×	62 0.4×	54	1.7k
Diana L. Carlone United States	24	1.1k 0.7×	736 2.4×	218 0.8×	156 0.9×	239 1.6×	39	2.1k
Michael Schertzer Canada	15	994 0.6×	320 1.0×	157 0.6×	88 0.5×	88 0.6×	25	1.3k
Thomas F. Manganaro United States	18	741 0.5×	285 0.9×	527 1.9×	48 0.3×	191 1.3×	19	1.5k
Jennifer Whangbo United States	18	818 0.5×	122 0.4×	159 0.6×	107 0.6×	52 0.3×	44	1.7k
Kwang‐Yul Cha South Korea	20	1.2k 0.8×	213 0.7×	497 1.8×	576 3.4×	111 0.7×	29	1.7k
Véronique Azuara United Kingdom	21	2.5k 1.6×	398 1.3×	86 0.3×	164 1.0×	119 0.8×	30	3.1k
Misuzu Yamashita Japan	21	616 0.4×	254 0.8×	412 1.5×	101 0.6×	97 0.6×	26	1.2k

Countries citing papers authored by Nobuaki Kikyo

Since Specialization

Citations

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

Fields of papers citing papers by Nobuaki Kikyo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuaki Kikyo

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

All Works

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20 of 20 papers shown

Katoku-Kikyo, Nobuko, et al.. (2025). METTL14 regulates chondrogenesis through the GDF5–RUNX–extracellular matrix gene axis during limb development. Nature Communications. 16(1). 4072–4072.

Kikyo, Nobuaki. (2024). Circadian Regulation of Bone Remodeling. International Journal of Molecular Sciences. 25(9). 4717–4717. 15 indexed citations

Kikyo, Nobuaki. (2023). Circadian Regulation of Macrophages and Osteoclasts in Rheumatoid Arthritis. International Journal of Molecular Sciences. 24(15). 12307–12307. 13 indexed citations

Katoku-Kikyo, Nobuko, et al.. (2023). The circadian regulator PER1 promotes cell reprogramming by inhibiting inflammatory signaling from macrophages. PLoS Biology. 21(12). e3002419–e3002419. 5 indexed citations

Asakura, Atsushi & Nobuaki Kikyo. (2022). Immunofluorescence analysis of myogenic differentiation. Methods in cell biology. 170. 117–125. 2 indexed citations

Lage, Jacob, Ce Yuan, Nobuko Katoku-Kikyo, et al.. (2018). Cry2 Is Critical for Circadian Regulation of Myogenic Differentiation by Bclaf1-Mediated mRNA Stabilization of Cyclin D1 and Tmem176b. Cell Reports. 22(8). 2118–2132. 46 indexed citations

Kikyo, Nobuaki. (2015). Preservation of Epigenetic Memory During DNA Replication. PubMed. 1(1). 5 indexed citations

Kobayashi, Hiroshi & Nobuaki Kikyo. (2014). Epigenetic regulation of open chromatin in pluripotent stem cells. Translational research. 165(1). 18–27. 17 indexed citations

Kikyo, Nobuaki, et al.. (2013). Microvesicles as mediators of tissue regeneration. Translational research. 163(4). 286–295. 66 indexed citations

10.

Caramori, Maria Luiza, Youngki Kim, Jason H. Moore, et al.. (2012). Gene Expression Differences in Skin Fibroblasts in Identical Twins Discordant for Type 1 Diabetes. Diabetes. 61(3). 739–744. 22 indexed citations

11.

Hirai, Hiroyuki, Meri T. Firpo, & Nobuaki Kikyo. (2012). Establishment of LIF-Dependent Human iPS Cells Closely Related to Basic FGF-Dependent Authentic iPS Cells. PLoS ONE. 7(6). e39022–e39022. 14 indexed citations

12.

Lee, Catherine & Nobuaki Kikyo. (2012). Strategies to identify long noncoding RNAs involved in gene regulation. Cell & Bioscience. 2(1). 37–37. 69 indexed citations

13.

Hirai, Hiroyuki, et al.. (2012). Efficient iPS Cell Production with the MyoD Transactivation Domain in Serum-Free Culture. PLoS ONE. 7(3). e34149–e34149. 26 indexed citations

14.

Hirai, Hiroyuki, T. Tani, & Nobuaki Kikyo. (2010). Structure and functions of powerful transactivators: VP16, MyoD and FoxA. The International Journal of Developmental Biology. 54(11-12). 1589–1596. 70 indexed citations

15.

Romanova, Liudmila, et al.. (2008). Critical Role of Nucleostemin in Pre-rRNA Processing. Journal of Biological Chemistry. 284(8). 4968–4977. 88 indexed citations

16.

Gonda, Koichi, et al.. (2003). Reversible disassembly of somatic nucleoli by the germ cell proteins FRGY2a and FRGY2b. Nature Cell Biology. 5(3). 205–210. 59 indexed citations

17.

Kikyo, Nobuaki, Masako Tada, Takashi Tada, & M. Azim Surani. (1997). Mapping of the eukaryotic initiation factor eIF-lA gene, Eif1a, to mouse chromosome 12D-E by FISH. Mammalian Genome. 8(5). 376–376. 1 indexed citations

18.

Kikyo, Nobuaki, William M. Rideout, Takashi Tada, Masako Tada, & M. Azim Surani. (1997). Mapping of the fas-associated factor 1 gene, fafl, to mouse chromosome 4C6 by FISH. Mammalian Genome. 8(3). 224–225. 3 indexed citations

19.

Kikyo, Nobuaki, et al.. (1995). Isolation of a cDNA for a Growth Factor of Vascular Endothelial Cells from Human Lung Cancer Cells: Its Identity with Insulin‐like Growth Factor II. Japanese Journal of Cancer Research. 86(2). 202–207. 3 indexed citations

20.

Kikyo, Nobuaki, et al.. (1994). Purification of a cell growth factor from a human lung cancer cell line: Its relationship with ferritin. Journal of Cellular Physiology. 161(1). 106–110. 9 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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