Seiichi Takekida

1.5k total citations · 1 hit paper
13 papers, 1.3k citations indexed

About

Seiichi Takekida is a scholar working on Endocrine and Autonomic Systems, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Seiichi Takekida has authored 13 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrine and Autonomic Systems, 3 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Seiichi Takekida's work include Circadian rhythm and melatonin (6 papers), Photoreceptor and optogenetics research (3 papers) and Light effects on plants (3 papers). Seiichi Takekida is often cited by papers focused on Circadian rhythm and melatonin (6 papers), Photoreceptor and optogenetics research (3 papers) and Light effects on plants (3 papers). Seiichi Takekida collaborates with scholars based in Japan, United Kingdom and United States. Seiichi Takekida's co-authors include Hitoshi Okamura, Lili Yan, Yasufumi Shigeyoshi, Kouji Taguchi, Hajime Tei, Takahiro Moriya, Shigenobu Shibata, Jay Dunlap, Jennifer Loros and Elizabeth S. Maywood and has published in prestigious journals such as Cell, Neuroscience and European Journal of Neuroscience.

In The Last Decade

Seiichi Takekida

12 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Light-Induced Resetting of a Mammalian Circadian Clock Is Associated with Rapid Induction of the Transcript

1997 759 citations Yasufumi Shigeyoshi, Kouji Taguchi et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seiichi Takekida Japan	10	1.2k	520	385	375	244	13	1.3k
Horst United States	4	1.0k 0.9×	275 0.5×	401 1.0×	412 1.1×	139 0.6×	8	1.2k
Gabriel K.Y. Wong United Kingdom	10	811 0.7×	262 0.5×	213 0.6×	318 0.8×	174 0.7×	12	1.1k
Ken-Ichi Honma Japan	21	862 0.7×	446 0.9×	92 0.2×	288 0.8×	319 1.3×	35	1.2k
Matsumi Hirose Japan	9	856 0.7×	325 0.6×	414 1.1×	266 0.7×	108 0.4×	11	1.1k
Sofia I.H. Godinho United Kingdom	13	927 0.8×	305 0.6×	386 1.0×	310 0.8×	210 0.9×	13	1.4k
William J. Hurst United States	7	630 0.5×	262 0.5×	242 0.6×	222 0.6×	111 0.5×	8	733
Aline Gréchez‐Cassiau France	14	973 0.8×	161 0.3×	228 0.6×	545 1.5×	86 0.4×	22	1.3k
Andrew Schook United States	7	628 0.5×	210 0.4×	145 0.4×	333 0.9×	115 0.5×	7	828
Koh‐hei Masumoto Japan	17	503 0.4×	301 0.6×	99 0.3×	175 0.5×	135 0.6×	38	1.1k
Rikuhiro G. Yamada Japan	9	670 0.6×	226 0.4×	357 0.9×	201 0.5×	116 0.5×	17	876

Countries citing papers authored by Seiichi Takekida

Since Specialization

Citations

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

Fields of papers citing papers by Seiichi Takekida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiichi Takekida

This figure shows the co-authorship network connecting the top 25 collaborators of Seiichi Takekida. A scholar is included among the top collaborators of Seiichi Takekida 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 Seiichi Takekida. Seiichi Takekida 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:

13 of 13 papers shown

Kokawa, Katsuji, Seiichi Takekida, Shoji Kamiura, et al.. (2010). The incidence, treatment and prognosis of cervical carcinoma in young women: a retrospective analysis of 4,975 cases in Japan.. PubMed. 31(1). 37–43. 18 indexed citations

Tanaka, Takahiro, Yoshio Maeno, Yoshihiro Miyahara, et al.. (2007). Radiotherapy negates the effect of retroperitoneal nonclosure for prevention of lymphedema of the legs following pelvic lymphadenectomy for gynecological malignancies: an analysis from a questionnaire survey. International Journal of Gynecological Cancer. 17(2). 460–464. 32 indexed citations

Takekida, Seiichi, et al.. (2006). A case of Inverted Tooth Eruption into the Nasal Cavity. Nihon Bika Gakkai Kaishi (Japanese Journal of Rhinology). 45(2). 138–141. 1 indexed citations

Matsui, Daisuke, Seiichi Takekida, & Hitoshi Okamura. (2005). Molecular oscillation of Per1 and Per2 genes in the rodent brain: an in situ hybridization and molecular biological study.. PubMed. 51(5-6). 85–93. 17 indexed citations

Tanimura, Kenji, Satoshi Nakago, Homare Murakoshi, et al.. (2004). Changes in the expression and cytological localization of betacellulin and its receptors (ErbB-1 and ErbB-4) in the trophoblasts in human placenta over the course of pregnancy. European Journal of Endocrinology. 151(1). 93–101. 10 indexed citations

Takekida, Seiichi, Haruhiko Ishida, Ken‐ichi Nibu, & Mutsuo Amatsu. (2004). Clinical Study of Paranasal Sinus Mycosis. Nihon Bika Gakkai Kaishi (Japanese Journal of Rhinology). 43(4). 375–379. 1 indexed citations

Miyake, Shigeru, Yasuo Sumi, Lili Yan, et al.. (2000). Phase-dependent responses of Per1 and Per2 genes to a light-stimulus in the suprachiasmatic nucleus of the rat. Neuroscience Letters. 294(1). 41–44. 94 indexed citations

Takekida, Seiichi, Lili Yan, Elizabeth S. Maywood, Michael H. Hastings, & Hitoshi Okamura. (2000). Differential adrenergic regulation of the circadian expression of the clock genes Period1 and Period2 in the rat pineal gland. European Journal of Neuroscience. 12(12). 4557–4561. 80 indexed citations

Ishida, Haruhiko, et al.. (2000). Masticatory and articulatory function following surgical treatment of maxillary malignant tumors. JOURNAL OF JAPAN SOCIETY FOR HEAD AND NECK SURGERY. 10(3). 171–178.

10.

Yan, Lili, Seiichi Takekida, Yasufumi Shigeyoshi, & Hitoshi Okamura. (1999). Per1 and Per2 gene expression in the rat suprachiasmatic nucleus: circadian profile and the compartment-specific response to light. Neuroscience. 94(1). 141–150. 209 indexed citations

11.

Takumi, Toru, Shigeru Miyake, Kouji Taguchi, et al.. (1999). A mammalian ortholog of Drosophila timeless, highly expressed in SCN and retina, forms a complex with mPER1. Genes to Cells. 4(1). 67–75. 66 indexed citations

12.

Maruo, Takeshi, Jovelle B. Laoag‐Fernandez, Seiichi Takekida, et al.. (1999). Regulation of granulosa cell proliferation and apoptosis during follicular development. Gynecological Endocrinology. 13(6). 410–419. 35 indexed citations

13.

Shigeyoshi, Yasufumi, Kouji Taguchi, Seiichi Takekida, et al.. (1997). Light-Induced Resetting of a Mammalian Circadian Clock Is Associated with Rapid Induction of the Transcript. Cell. 91(7). 1043–1053. 759 indexed citations breakdown →

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