Kazuto Nakamura

6.6k total citations · 1 hit paper
145 papers, 4.8k citations indexed

About

Kazuto Nakamura is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kazuto Nakamura has authored 145 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 35 papers in Surgery and 31 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kazuto Nakamura's work include Receptor Mechanisms and Signaling (15 papers), Endometrial and Cervical Cancer Treatments (12 papers) and Hypothalamic control of reproductive hormones (12 papers). Kazuto Nakamura is often cited by papers focused on Receptor Mechanisms and Signaling (15 papers), Endometrial and Cervical Cancer Treatments (12 papers) and Hypothalamic control of reproductive hormones (12 papers). Kazuto Nakamura collaborates with scholars based in Japan, United States and United Kingdom. Kazuto Nakamura's co-authors include Kenneth Walsh, José J. Fuster, Takashi Minegishi, Mario Ascoli, Yoshito Ibuki, Kaoru Miyamoto, Masao Igarashi, Masataka Sata, Xuebo Liu and Yoshihisa Hasegawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Kazuto Nakamura

135 papers receiving 4.7k citations

Hit Papers

Adipokines: A link between obesity and cardiovascular dis... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazuto Nakamura Japan 36 1.8k 1.1k 885 728 697 145 4.8k
Saskia C.A. de Jager Netherlands 35 1.5k 0.8× 778 0.7× 667 0.8× 193 0.3× 487 0.7× 129 4.0k
Nam Keun Kim South Korea 36 2.6k 1.4× 249 0.2× 435 0.5× 531 0.7× 480 0.7× 305 5.6k
Robert S. Bar United States 37 2.2k 1.2× 492 0.5× 986 1.1× 272 0.4× 480 0.7× 94 5.0k
Jeffrey R. Bender United States 45 2.4k 1.3× 598 0.6× 623 0.7× 209 0.3× 308 0.4× 90 6.7k
Mario Serio Italy 48 2.8k 1.5× 236 0.2× 1.2k 1.3× 492 0.7× 614 0.9× 151 8.2k
Yoshiki Seino Japan 39 1.9k 1.0× 239 0.2× 773 0.9× 267 0.4× 418 0.6× 238 6.0k
Tripathi B. Rajavashisth United States 25 1.4k 0.7× 473 0.4× 654 0.7× 115 0.2× 675 1.0× 38 4.5k
J. Zapf Switzerland 41 3.3k 1.8× 661 0.6× 1.1k 1.2× 161 0.2× 350 0.5× 103 7.5k
Sohei Kitazawa Japan 47 3.5k 1.9× 322 0.3× 1.1k 1.2× 265 0.4× 977 1.4× 261 7.0k
Masataka Kudo Japan 40 1.8k 1.0× 220 0.2× 1.1k 1.2× 1.0k 1.4× 292 0.4× 128 4.9k

Countries citing papers authored by Kazuto Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Kazuto Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuto Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuto Nakamura. A scholar is included among the top collaborators of Kazuto Nakamura 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 Kazuto Nakamura. Kazuto Nakamura 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.
Watanabe, Yosuke, Kei Irie, Hiroshi Yokomichi, et al.. (2025). Decreased Homeostasis Model Assessment of β-Cell Function in Patients Without Diabetes Can Predict Future Events in Patients With Cardiovascular Disease. Circulation Journal. 89(3). 347–353. 1 indexed citations
2.
Nishio, Shin, Kazuhiro Takehara, Shinya Sato, et al.. (2024). Re-administration of platinum-based chemotherapy for recurrent endometrial cancer: an ancillary analysis of the SGSG-012/GOTIC-004/Intergroup study. International Journal of Clinical Oncology. 29(10). 1594–1601.
5.
Kuroki, Kenji, Kazuto Nakamura, Yosuke Watanabe, et al.. (2024). Novel technique and assessment of available 3-dimensional delivery sheath for endomyocardial biopsy during cardiac device implantation. Heart Rhythm. 22(4). 998–1007. 1 indexed citations
7.
Nakamura, Kazuto, et al.. (2023). Utility of vaginal vault cytology in the local recurrence of cervical cancer. BMC Women s Health. 23(1). 186–186.
8.
Uematsu, Manabu, et al.. (2023). Impact of left bundle branch area pacing-optimized cardiac resynchronized therapy for transthyretin cardiac amyloidosis. European Heart Journal - Cardiovascular Imaging. 25(5). e156–e156. 3 indexed citations
9.
Watanabe, Yosuke, Takamitsu Nakamura, Manabu Uematsu, et al.. (2021). Glutaredoxin-1 levels in plasma can predict future events in patients with cardiovascular diseases. Free Radical Biology and Medicine. 176. 241–245. 3 indexed citations
10.
Uematsu, Manabu, Kazuto Nakamura, Takamitsu Nakamura, et al.. (2020). Persistent Myocardial Production of Follistatin-like 1 Is Associated With Left Ventricular Adverse Remodeling in Patients With Myocardial Infarction. Journal of Cardiac Failure. 26(8). 733–738. 7 indexed citations
11.
Nakamura, Kazuto, et al.. (2020). Nadir CA-125 serum levels during neoadjuvant chemotherapy and no residual tumor at interval debulking surgery predict prognosis in advanced stage ovarian cancer. World Journal of Surgical Oncology. 18(1). 200–200. 7 indexed citations
12.
Matsuoka, Satoshi, Manabu Uematsu, Takamitsu Nakamura, et al.. (2016). High levels of stromal cell-derived factor-1α predict secondary cardiac events in stable patients with a history of myocardial infarction. Journal of Cardiology. 69(1). 320–325. 11 indexed citations
13.
Kikuchi, Ryosuke, Kazuto Nakamura, Susan MacLauchlan, et al.. (2014). An antiangiogenic isoform of VEGF-A contributes to impaired vascularization in peripheral artery disease. Nature Medicine. 20(12). 1464–1471. 150 indexed citations
14.
Shimazaki, Masashi, Kazuto Nakamura, Isao Kii, et al.. (2008). Periostin is essential for cardiac healingafter acute myocardial infarction. The Journal of Experimental Medicine. 205(2). 295–303. 388 indexed citations
15.
Minegishi, Takashi, et al.. (2008). Regulation of human luteinizing hormone receptor in the ovary. Reproductive Medicine and Biology. 7(1). 11–16. 6 indexed citations
16.
Itokawa, Fumihide, Takao Itoi, Kazuto Nakamura, et al.. (2003). A case of acute pancreatitis caused by exfoliated cancer cells derived from gallbladder carcinomas. 17(2). 135–142. 1 indexed citations
17.
Nakamura, Kazuto, Xuebo Liu, & Mario Ascoli. (2000). Seven Non-contiguous Intracellular Residues of the Lutropin/Choriogonadotropin Receptor Dictate the Rate of Agonist-induced Internalization and Its Sensitivity to Non-visual Arrestins. Journal of Biological Chemistry. 275(1). 241–247. 44 indexed citations
19.
Minegishi, Takashi, Y. Hasegawa, H. Shinozaki, et al.. (1993). Developmental changes of testicular activin and FSH receptor mRNA and plasma FSH and inhibin levels in the rat. Life Sciences. 53(16). 1299–1307. 11 indexed citations
20.
Duffield, Wendell A. & Kazuto Nakamura. (1973). A photogeologic method for determining the direction of horizontal dilation from patterns of en echelon fracturing. Journal research U. S. geological survey. 1(3). 283–287. 5 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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