Hideaki� Yoshimura
Impact in
- Surfaces, Coatings and Films top 2%
-
- Photonic Crystals and Applications
Papers in
- Hematology 28
- Multiple Myeloma Research and Treatments 10
- Biophysics 11
- Co-authors
- Kuniaki NagayamaNikolai D. DenkovOrlin D. VelevIvan IvanovTakeaki OzawaPeter A. KralchevskySung Bae KimKazuyuki Saito
- Journals
- Biochemistry (5 papers)Analytical Chemistry (5 papers)Blood (4 papers)ACS Chemical Biology (3 papers)Biophysical Journal (3 papers)
- Partner nations
- JapanUnited StatesBulgaria
In The Last Decade
Hideaki� Yoshimura
135 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Surfaces, Coatings and Films 288
- Atomic and Molecular Physics, and Optics 934
- Biomedical Engineering 1.1k
- Biophysics 138
- Biotechnology 187
Countries citing papers authored by Hideaki� Yoshimura
This map shows the geographic impact of Hideaki� Yoshimura'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 Hideaki� Yoshimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideaki� Yoshimura more than expected).
Fields of papers citing papers by Hideaki� Yoshimura
This network shows the impact of papers produced by Hideaki� Yoshimura. 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 Hideaki� Yoshimura. The network helps show where Hideaki� Yoshimura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hideaki� Yoshimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2022 | 15 | |
| 6 | 2022 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 4 | |
| 9 | 2018 | 6 | |
| 10 | 2017 | 0 | |
| 11 | 2017 | 3 | |
| 12 | 2017 | 5 | |
| 13 | 2016 | 9 | |
| 14 | 2016 | 5 | |
| 15 | Comprehensive study of systematic and random variation in Gate-Induced Drain Leakage for LSTP applications | 2011 | 5 |
| 16 | An efficient manufacturing technique based on process compact model to reduce characteristic variation beyond process limit for 40 nm node mass production | 2011 | 2 |
| 17 | 2007 | 15 | |
| 18 | 2006 | 27 | |
| 19 | 2004 | 46 | |
| 20 | 1988 | 203 |
About Hideaki� Yoshimura
Hideaki� Yoshimura is a scholar working on Hematology, Biophysics, Genetics, Cell Biology and Cellular and Molecular Neuroscience, having authored 148 papers that have together received 4.0k indexed citations. Recurring topics across this work include Semiconductor materials and devices (23 papers), Advancements in Semiconductor Devices and Circuit Design (17 papers), Integrated Circuits and Semiconductor Failure Analysis (13 papers), Hemoglobin structure and function (13 papers), Photoreceptor and optogenetics research (11 papers), Mass Spectrometry Techniques and Applications (11 papers), Multiple Myeloma Research and Treatments (10 papers) and Lymphoma Diagnosis and Treatment (9 papers). The work is most often cited by research in Surfaces, Coatings and Films (288 citations), Atomic and Molecular Physics, and Optics (934 citations), Biomedical Engineering (1.1k citations), Biophysics (138 citations) and Biotechnology (187 citations). Hideaki� Yoshimura has collaborated with scholars based in Japan, United States and Bulgaria. Frequent co-authors include Kuniaki Nagayama, Nikolai D. Denkov, Orlin D. Velev, Ivan Ivanov, Takeaki Ozawa, Peter A. Kralchevsky, Sung Bae Kim, Kazuyuki Saito, Ceco D. Dushkin and Shigetoshi Aono. Their work appears in journals such as Biochemistry, Analytical Chemistry, Blood, ACS Chemical Biology and Biophysical Journal.
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.