Eiichi Murakami

1.8k total citations
106 papers, 1.4k citations indexed

About

Eiichi Murakami is a scholar working on Electrical and Electronic Engineering, Pathology and Forensic Medicine and Materials Chemistry. According to data from OpenAlex, Eiichi Murakami has authored 106 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Electrical and Electronic Engineering, 24 papers in Pathology and Forensic Medicine and 19 papers in Materials Chemistry. Recurrent topics in Eiichi Murakami's work include Semiconductor materials and devices (51 papers), Advancements in Semiconductor Devices and Circuit Design (31 papers) and Spine and Intervertebral Disc Pathology (24 papers). Eiichi Murakami is often cited by papers focused on Semiconductor materials and devices (51 papers), Advancements in Semiconductor Devices and Circuit Design (31 papers) and Spine and Intervertebral Disc Pathology (24 papers). Eiichi Murakami collaborates with scholars based in Japan, United States and India. Eiichi Murakami's co-authors include Daisuke Kurosawa, Toshimi Aizawa, Akio Nishida, Masanobu Miyao, Kiyokazu Nakagawa, Masami Fukahori, Koji Ichimori, H Nakazawa, H. Ishida and T. Warabisako and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Journal of The Electrochemical Society.

In The Last Decade

Eiichi Murakami

94 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eiichi Murakami Japan 21 792 318 264 177 174 106 1.4k
Masafumi Kubota Japan 20 402 0.5× 141 0.4× 320 1.2× 100 0.6× 122 0.7× 104 1.3k
Yoshihiko Suzuki Japan 13 129 0.2× 145 0.5× 115 0.4× 120 0.7× 122 0.7× 47 481
A.E. Bond United States 21 442 0.6× 61 0.2× 166 0.6× 68 0.4× 10 0.1× 50 1.3k
José M. Brum United States 21 47 0.1× 65 0.2× 266 1.0× 227 1.3× 39 0.2× 52 1.7k
Sung Wook Park South Korea 19 187 0.2× 84 0.3× 198 0.8× 305 1.7× 28 0.2× 90 983
Hiroyuki Fujiki Japan 17 217 0.3× 100 0.3× 61 0.2× 47 0.3× 17 0.1× 90 887
H. Yamamoto Japan 22 192 0.2× 17 0.1× 163 0.6× 180 1.0× 43 0.2× 62 1.5k
Jun Sakuma Japan 15 244 0.3× 36 0.1× 65 0.2× 42 0.2× 21 0.1× 62 874
Desheng Wu China 15 24 0.0× 263 0.8× 222 0.8× 194 1.1× 163 0.9× 67 797

Countries citing papers authored by Eiichi Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Eiichi Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiichi Murakami

This figure shows the co-authorship network connecting the top 25 collaborators of Eiichi Murakami. A scholar is included among the top collaborators of Eiichi Murakami 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 Eiichi Murakami. Eiichi Murakami 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.
Kurosawa, Daisuke, Ko Hashimoto, Kohei Takahashi, et al.. (2025). Three-dimensional motion analysis of upright bipedal walking android model. Clinical Biomechanics. 129. 106620–106620.
2.
Kurosawa, Daisuke, Eiichi Murakami, Toshimi Aizawa, & Takashi Watanabe. (2023). Clinical Features Requiring Sacroiliac Joint Arthrodesis in Patients with Sacroiliac Joint Pain. The Journal of Medical Investigation. 70(1.2). 123–128.
3.
Hashimoto, Ko, Daisuke Kurosawa, Eiichi Murakami, et al.. (2022). The psoas major muscle is essential for bipedal walking – An analysis using a novel upright bipedal-walking android model. Gait & Posture. 94. 15–18. 5 indexed citations
4.
Koyama, Yuichiro, Daisuke Kurosawa, Niels Hammer, et al.. (2021). Quantitative evaluation of the sacroiliac joint fixation in stress reduction on both sacroiliac joint cartilage and ligaments: A finite element analysis. Clinical Biomechanics. 85. 105350–105350. 9 indexed citations
5.
Kurosawa, Daisuke, Niels Hammer, Michael Werner, et al.. (2020). Finite element analysis of load transition on sacroiliac joint during bipedal walking. Scientific Reports. 10(1). 13683–13683. 32 indexed citations
6.
Tonosu, Juichi, Daisuke Kurosawa, Keisuke Ito, et al.. (2019). The association between sacroiliac joint-related pain following lumbar spine surgery and spinopelvic parameters: a prospective multicenter study. European Spine Journal. 28(7). 1603–1609. 15 indexed citations
7.
Murakami, Eiichi, Toshimi Aizawa, Daisuke Kurosawa, & Kyoko Noguchi. (2017). Leg symptoms associated with sacroiliac joint disorder and related pain. Clinical Neurology and Neurosurgery. 157. 55–58. 15 indexed citations
8.
Kurosawa, Daisuke, Eiichi Murakami, & Toshimi Aizawa. (2017). Groin pain associated with sacroiliac joint dysfunction and lumbar disorders. Clinical Neurology and Neurosurgery. 161. 104–109. 13 indexed citations
9.
Murakami, Eiichi, Daisuke Kurosawa, & Toshimi Aizawa. (2017). Treatment strategy for sacroiliac joint-related pain at or around the posterior superior iliac spine. Clinical Neurology and Neurosurgery. 165. 43–46. 33 indexed citations
10.
Kurosawa, Daisuke, Eiichi Murakami, & Toshimi Aizawa. (2014). Referred pain location depends on the affected section of the sacroiliac joint. European Spine Journal. 24(3). 521–527. 40 indexed citations
11.
Kuboki, Koji, et al.. (2011). Influence of Fatty Liver on Plasma Small, Dense LDL- Cholesterol in Subjects with and without Metabolic Syndrome. Journal of Atherosclerosis and Thrombosis. 18(1). 1–7. 32 indexed citations
12.
Murakami, Eiichi. (2007). Sacroiliac joint pain. 13(1). 40–47. 1 indexed citations
13.
Sugita, Yoichi, et al.. (2007). Nitric Oxide Generation Directly Responds to Ultrasound Exposure. Ultrasound in Medicine & Biology. 34(3). 487–493. 30 indexed citations
14.
Yamamoto, S., et al.. (2006). A New TDDB Degradation Model Based on Cu Ion Drift in Cu Interconnect Dielectrics. 484–489. 77 indexed citations
15.
Takahashi, Shunsuke, Hiroyuki Miyazaki, Fumihiko Yoshino, et al.. (2003). Real-time monitoring of nitric oxide in ischemic myocardium using an NO-selective electrode calibrated by electron spin resonance. Life Sciences. 74(1). 75–85. 8 indexed citations
16.
Murakami, Eiichi, Kikuo Okuyama, Kensuke Kuroda, et al.. (2003). NBT-induced hot carrier (HC) effect: positive feedback mechanism in p-MOSFET's degradation. 79–85. 8 indexed citations
17.
Kamohara, Shiro, Tomohiro Ohuchi, Kikuo Okuyama, et al.. (2002). A new extraction method of device parameters for mass production E-T data analysis. 43–46.
18.
Murakami, Eiichi, et al.. (1991). Influence of Strain on Electrical Properties of the Ge Channel in the Modulation-Doped p-Si0.5Ge0.5/Ge/Si1-xGex Heterostructure. Japanese Journal of Applied Physics. 30(2A). L163–L163. 5 indexed citations
19.
Murakami, Eiichi. (1964). STUDIES ON SPINNING MECHANISM OF VISCOSE. Sen i Gakkaishi. 20(5). 289–305.
20.
Murakami, Eiichi. (1964). STUDIES ON SPINNING MECHANISM OF VISCOSE. Sen i Gakkaishi. 20(8). 519–524. 1 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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