Jun Yamada

7.6k total citations
396 papers, 6.0k citations indexed

About

Jun Yamada is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Jun Yamada has authored 396 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Cellular and Molecular Neuroscience, 79 papers in Molecular Biology and 50 papers in Electrical and Electronic Engineering. Recurrent topics in Jun Yamada's work include Neurotransmitter Receptor Influence on Behavior (50 papers), Neuroscience and Neuropharmacology Research (35 papers) and Corneal Surgery and Treatments (30 papers). Jun Yamada is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (50 papers), Neuroscience and Neuropharmacology Research (35 papers) and Corneal Surgery and Treatments (30 papers). Jun Yamada collaborates with scholars based in Japan, United States and South Korea. Jun Yamada's co-authors include Yumi Sugimoto, Shozo Jinno, J. Wayne Streilein, Kazuyoshi Horisaka, M. Reza Dana, Shigeru Kinoshita, Shizuo Yamada, Noboru Sakai, Hirokazu Nagawa and Su-Ning Zhu and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Jun Yamada

366 papers receiving 5.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Yamada Japan 43 1.6k 1.1k 1.1k 665 650 396 6.0k
Stephen Smith United Kingdom 34 971 0.6× 581 0.5× 442 0.4× 553 0.8× 468 0.7× 143 5.5k
Peter Blumbergs Australia 48 2.4k 1.5× 1.5k 1.4× 342 0.3× 252 0.4× 311 0.5× 231 8.8k
Laura Calzà Italy 47 2.2k 1.4× 2.2k 2.0× 316 0.3× 320 0.5× 487 0.7× 253 7.4k
Michael Belkin Israel 42 1.4k 0.9× 1.0k 0.9× 1.9k 1.9× 252 0.4× 304 0.5× 201 5.9k
Minoru Maëda Japan 43 1.5k 0.9× 760 0.7× 391 0.4× 975 1.5× 238 0.4× 390 7.3k
Hua Feng China 57 4.0k 2.5× 1.8k 1.6× 940 0.9× 969 1.5× 313 0.5× 571 13.2k
Willard M. Freeman United States 43 4.2k 2.7× 1.2k 1.1× 494 0.5× 475 0.7× 272 0.4× 169 8.1k
Peter G. Smith United States 47 3.0k 1.9× 1.0k 0.9× 185 0.2× 740 1.1× 433 0.7× 250 7.9k
Dennis L. Kolson United States 55 1.8k 1.2× 746 0.7× 1.2k 1.1× 1.6k 2.4× 405 0.6× 152 9.0k
Masahiro Mori Japan 47 1.7k 1.1× 2.8k 2.6× 443 0.4× 733 1.1× 120 0.2× 337 8.2k

Countries citing papers authored by Jun Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yamada

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yamada. A scholar is included among the top collaborators of Jun Yamada 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 Jun Yamada. Jun Yamada 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.
Katsurada, Naoko, Takafumi Fukui, Jun Yamada, et al.. (2023). Diagnostic yield and the number of tumor cells of ultrathin bronchoscopy for peripheral lung lesions: A comparison with thin bronchoscopy. PLoS ONE. 18(8). e0290609–e0290609. 3 indexed citations
2.
Sato, Daiki, et al.. (2022). Study on Single Pulse Measurement of Terminal Voltage Self-Coupled Laser Distance Sensor. The Review of Laser Engineering. 50(10). 585–585.
3.
Kono, Takahiro, et al.. (2022). Application of laser speckles and deep learning in discriminating between the size and concentrations of supermicroplastics. Optics Continuum. 1(11). 2259–2259. 9 indexed citations
4.
Ohgomori, Tomohiro, Kyoko Iinuma, Jun Yamada, & Shozo Jinno. (2021). A unique subtype of ramified microglia associated with synapses in the rat hippocampus. European Journal of Neuroscience. 54(3). 4740–4754. 4 indexed citations
5.
Rajagopalan, Uma Maheswari, et al.. (2021). Demonstration of laser biospeckle method for speedy in vivo evaluation of plant-sound interactions with arugula. PLoS ONE. 16(10). e0258973–e0258973. 2 indexed citations
6.
Kono, Takahiro, et al.. (2021). A local rapid temperature rise model for analyzing the effects of irradiation on human skin in laser treatments. International Journal of Heat and Mass Transfer. 171. 121078–121078. 2 indexed citations
7.
Yoshimatsu, Takeshi, et al.. (2017). Signal Processing for Distance Measurement Using Laser Voltage Fluctuation due to Self-Coupling Effect. Sensors and Materials. 1315–1315.
8.
Kitayama, Joji, Hironori Ishigami, Hironori Yamaguchi, et al.. (2017). Optimal drug delivery for intraperitoneal paclitaxel (PTX) in murine model. PubMed. 2(2). 95–102. 5 indexed citations
9.
Yamada, Jun, et al.. (2015). Reading Processing Skills among EFL Learners in Different Proficiency Levels.. ˜The œreading matrix. 15(1). 25–40. 4 indexed citations
10.
Ito, Masakazu, et al.. (2014). Characterization of the Organic Thin Film Solar Cells with Active Layers of PTB7/PC71BM Prepared by Using Solvent Mixtures with Different Additives. International Journal of Photoenergy. 2014. 1–8. 10 indexed citations
11.
Yamada, Jun, et al.. (2013). Study for Recurrent Inguinal Hernia. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 74(10). 2657–2662.
12.
Yamada, Jun, et al.. (2010). Impact of the RNA chaperone Hfq on multidrug resistance in Escherichia coli. Journal of Antimicrobial Chemotherapy. 65(5). 853–858. 46 indexed citations
13.
Yoneyama, Satomi, Kazushige Kawai, Nelson H. Tsuno, et al.. (2007). Epigallocatechin gallate affects human dendritic cell differentiation and maturation. Journal of Allergy and Clinical Immunology. 121(1). 209–214. 56 indexed citations
14.
Yamada, Jun, Joji Kitayama, Satomi Yoneyama, et al.. (2006). Zoledronic acid inhibits gastric cancer cells by induction of apoptosis. Cancer Research. 66. 895–895. 2 indexed citations
15.
Kawaguchi, Junji, Hideki Hayashi, Jun Yamada, et al.. (2004). Nontraumatic subdural hematoma secondary to dural metastasis of hepatocellular carcinoma: Case report and review of the literature. Nosotchu. 26(2). 382–386. 2 indexed citations
16.
Iwama, Toru, et al.. (2003). The Use of Frozen Autogenous Bone Flaps in Delayed Cranioplasty Revisited. Neurosurgery. 52(3). 591–596. 143 indexed citations
17.
Sugimoto, Yuki & Jun Yamada. (2001). Influences of the 5-HT 2 receptor antagonist on effects of selective serotonin and noradrenaline reupkae inhibitors in forced swimming test.. The Japanese Journal of Pharmacology. 85. 138. 1 indexed citations
18.
Yamada, Jun, et al.. (1999). Behavior of Ablation Plasma Plume from Functionally Graded Materials in Excimer Laser Processing. JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN. 83(Appendix). 221–221. 1 indexed citations
19.
Yamada, Jun, et al.. (1991). A Microcomputer Controlled Alignment System Using Moire Sensors. 제어로봇시스템학회 국내학술대회 논문집. 1(2). 1961–1965. 4 indexed citations
20.
Yamada, Jun. (1980). On the Optimum Age for Teaching Foreign Vocabulary to Children.. IRAL - International Review of Applied Linguistics in Language Teaching. 18(3). 10 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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