Naoki Murayama

800 total citations
17 papers, 668 citations indexed

About

Naoki Murayama is a scholar working on Molecular Biology, Surgery and Plant Science. According to data from OpenAlex, Naoki Murayama has authored 17 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Plant Science. Recurrent topics in Naoki Murayama's work include Cholesterol and Lipid Metabolism (3 papers), Soybean genetics and cultivation (3 papers) and Lipid metabolism and biosynthesis (2 papers). Naoki Murayama is often cited by papers focused on Cholesterol and Lipid Metabolism (3 papers), Soybean genetics and cultivation (3 papers) and Lipid metabolism and biosynthesis (2 papers). Naoki Murayama collaborates with scholars based in Japan, United States and Russia. Naoki Murayama's co-authors include T Meguro, Keiko Iwano, Chikao Yamazaki, Kenji Okuda, Fumio Tsuda, Kazuo Masuko, Takehiro Mitsui, Hiroaki Okamoto, Yuzo Miyakawa and Taisuke Inoue and has published in prestigious journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.

In The Last Decade

Naoki Murayama

17 papers receiving 641 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoki Murayama Japan 11 357 354 94 54 52 17 668
Xiaoyuan Xu China 16 684 1.9× 619 1.7× 187 2.0× 9 0.2× 114 2.2× 124 1.2k
Harinda Rajapaksha Australia 13 152 0.4× 59 0.2× 244 2.6× 15 0.3× 43 0.8× 25 541
Federica Branchi Italy 20 641 1.8× 121 0.3× 101 1.1× 8 0.1× 500 9.6× 59 1.3k
Dongmei Xing China 15 97 0.3× 44 0.1× 130 1.4× 10 0.2× 33 0.6× 24 570
DD Poutsiaka United States 7 169 0.5× 14 0.0× 124 1.3× 25 0.5× 69 1.3× 10 623
Makoto Washizu Japan 10 65 0.2× 56 0.2× 58 0.6× 10 0.2× 120 2.3× 43 385
Dongliang Zhang China 14 72 0.2× 34 0.1× 113 1.2× 60 1.1× 50 1.0× 47 470
Anjiang Wang China 15 168 0.5× 143 0.4× 142 1.5× 4 0.1× 256 4.9× 44 662
Wallace A. Jones United States 12 75 0.2× 65 0.2× 70 0.7× 12 0.2× 120 2.3× 25 505
Fatih Hilmioğlu Türkiye 13 145 0.4× 149 0.4× 33 0.4× 13 0.2× 281 5.4× 43 609

Countries citing papers authored by Naoki Murayama

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Murayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Murayama

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

All Works

17 of 17 papers shown
1.
Tomita, Yuki, et al.. (2020). High temperature during soybean seed development differentially alters lipid and protein metabolism. Plant Production Science. 23(4). 504–512. 39 indexed citations
2.
Murayama, Naoki, et al.. (2020). Photoperiod sensing of leaf regulates pod setting in soybean ( Glycine max (L.) Merr.). Plant Production Science. 23(3). 360–365. 3 indexed citations
3.
Tanaka, Seiya, et al.. (2017). Effects of light quality on pod elongation in soybean (Glycine max (L.) Merr.) and cowpea (Vigna unguiculata (L.) Walp.). Plant Signaling & Behavior. 12(6). e1327495–e1327495. 2 indexed citations
4.
Shimamoto, Hiroshi, Naoki Murayama, Akimasa Fujiwara, & Junyi Zhang. (2010). Evaluation of an existing bus network using a transit network optimisation model: a case study of the Hiroshima City Bus network. Transportation. 37(5). 801–823. 26 indexed citations
5.
Homma, Sumiko, Naoki Murayama, Izumi Yoshida, et al.. (2001). Marked Atherosclerosis in a Patient with Familiar Lecithin: Cholesterol Acyltransferase Deficiency Associated with End-Stage Renal Disease and Diabetes Mellitus. American Journal of Nephrology. 21(5). 415–419. 12 indexed citations
6.
Ishimitsu, Toshihiko, Naoki Murayama, T Meguro, et al.. (2000). Urinary Excretions of Albumin and Type IV Collagen in Normotensive and Hypertensive Subjects.. Hypertension Research. 23(5). 459–466. 12 indexed citations
7.
SAIO, Naoko, et al.. (1999). SCHOOL-COMMUNITY COMPLEX IN FUNCTION OF THE PUBLIC ELEMENTARY AND JUNIOR HIGH SCHOOL. Journal of Architecture and Planning (Transactions of AIJ). 64(523). 131–138. 4 indexed citations
8.
Masuko, Kazuo, Takehiro Mitsui, Keiko Iwano, et al.. (1996). Infection with Hepatitis GB Virus C in Patients on Maintenance Hemodialysis. New England Journal of Medicine. 334(23). 1485–1491. 384 indexed citations
9.
Yusufi, Ahad Noor Khan, Naoki Murayama, Susan M. Gapstur, M. Szczepanska-Konkel, & Thomas P. Douša. (1994). Differential properties of brush-border membrane vesicles from early and late proximal tubules of rat kidney. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1191(1). 117–132. 30 indexed citations
10.
Homma, Sumiko, Naoki Murayama, Tatsuhiko Kodama, et al.. (1993). Effects of long-term, low-fat diet on plasma apo E in familial LCAT deficiency.. PubMed. 35(8). 999–1006. 4 indexed citations
11.
Kusano, Eiji, Naoki Murayama, Yasushi Asano, et al.. (1986). Atrial natriuretic peptide elevates cGMP contents in glomeruli and in distal tubules of rat kidney. Biochemical and Biophysical Research Communications. 136(3). 947–954. 21 indexed citations
12.
Yusufi, Ahad Noor Khan, Naoki Murayama, M J Keller, & Thomas P. Douša. (1985). Modulatory Effect of Thyroid Hormones on Uptake of Phosphate and Other Solutes across Luminal Brush Border Membrane of Kidney Cortex*. Endocrinology. 116(6). 2438–2449. 46 indexed citations
13.
Murayama, Naoki, et al.. (1985). The Vasopressin-Sensitive Adenylate Cyclase in Collecting Tubules and in Thick Ascending Limb of Henle's Loop of Human and Canine Kidney*. The Journal of Clinical Endocrinology & Metabolism. 60(5). 914–921. 28 indexed citations
14.
Albers, John J., et al.. (1985). Defective enzyme causes lecithin-cholesterol acyltransferase deficiency in a Japanese kindred. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 835(2). 253–257. 10 indexed citations
15.
Yawata, Yoshihito, Takashi Sugihara, Naoki Murayama, et al.. (1984). Self-adaptive modification of red-cell membrane lipids in lecithin: Cholesterol acyltransferase deficiency. Lipid analysis and spin labeling. Biochimica et Biophysica Acta (BBA) - Biomembranes. 769(2). 440–448. 15 indexed citations
16.
Murayama, Naoki, Yasushi Asano, Saichi Hosoda, et al.. (1984). Decreased sodium influx and abnormal red cell membrane lipids in a patient with familial plasma lecithin:Cholesterol acyltransferase deficiency. American Journal of Hematology. 16(2). 129–137. 10 indexed citations
17.
Muto, Shigeaki, Naoki Murayama, Muneya Suzuki, et al.. (1983). Hypergastrinemia in chronic renal failure. 16(2). 91–96. 22 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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