Liang‐da Chiu

637 total citations
18 papers, 504 citations indexed

About

Liang‐da Chiu is a scholar working on Biophysics, Analytical Chemistry and Molecular Biology. According to data from OpenAlex, Liang‐da Chiu has authored 18 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biophysics, 10 papers in Analytical Chemistry and 7 papers in Molecular Biology. Recurrent topics in Liang‐da Chiu's work include Spectroscopy Techniques in Biomedical and Chemical Research (17 papers), Spectroscopy and Chemometric Analyses (10 papers) and Gold and Silver Nanoparticles Synthesis and Applications (3 papers). Liang‐da Chiu is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (17 papers), Spectroscopy and Chemometric Analyses (10 papers) and Gold and Silver Nanoparticles Synthesis and Applications (3 papers). Liang‐da Chiu collaborates with scholars based in Japan, China and Poland. Liang‐da Chiu's co-authors include Katsumasa Fujita, Satoshi Kawata, Hideaki Fujita, Tomonobu M. Watanabe, Taro Ichimura, Hiro‐o Hamaguchi, Almar F. Palonpon, Takeaki Ozawa, Nicholas I. Smith and Hiroaki Machiyama and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Liang‐da Chiu

18 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang‐da Chiu Japan 13 390 194 151 150 51 18 504
Mian Wei United States 11 414 1.1× 191 1.0× 164 1.1× 332 2.2× 80 1.6× 18 717
Clara Stiebing Germany 13 426 1.1× 255 1.3× 180 1.2× 212 1.4× 71 1.4× 17 644
Flavius C. Pascut United Kingdom 10 355 0.9× 198 1.0× 152 1.0× 151 1.0× 28 0.5× 16 470
Huawen Wu China 7 207 0.5× 86 0.4× 98 0.6× 183 1.2× 47 0.9× 15 455
Samantha Fore United States 8 225 0.6× 86 0.4× 107 0.7× 116 0.8× 44 0.9× 16 377
Yang Jia China 5 269 0.7× 98 0.5× 102 0.7× 195 1.3× 17 0.3× 9 470
Shuichi Muraishi Japan 9 197 0.5× 180 0.9× 62 0.4× 115 0.8× 28 0.5× 13 378
Ruoyu He China 10 149 0.4× 78 0.4× 150 1.0× 104 0.7× 51 1.0× 15 370
Julia Gala de Pablo United States 11 146 0.4× 71 0.4× 203 1.3× 80 0.5× 21 0.4× 19 490
Xiaxia Yue China 12 189 0.5× 114 0.6× 176 1.2× 154 1.0× 217 4.3× 19 467

Countries citing papers authored by Liang‐da Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Liang‐da Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liang‐da Chiu. 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 Liang‐da Chiu. The network helps show where Liang‐da Chiu may publish in the future.

Co-authorship network of co-authors of Liang‐da Chiu

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

All Works

18 of 18 papers shown
1.
Morimoto, Takeshi, Liang‐da Chiu, Hiroyuki Kanda, et al.. (2019). Using redox-sensitive mitochondrial cytochrome Raman bands for label-free detection of mitochondrial dysfunction. The Analyst. 144(8). 2531–2540. 34 indexed citations
2.
Morimoto, Takeshi, Liang‐da Chiu, Katsumasa Fujita, et al.. (2018). In situ monitoring the redox dynamics of cytochrome c in glutamate-induced dying retinal cells by hybrid fluorescence-Raman imaging. Investigative Ophthalmology & Visual Science. 59(9). 4688–4688. 1 indexed citations
3.
Germond, Arno, Taro Ichimura, Liang‐da Chiu, et al.. (2018). Cell type discrimination based on image features of molecular component distribution. Scientific Reports. 8(1). 11726–11726. 8 indexed citations
4.
Chiu, Liang‐da, Shih‐Hsin Ho, Rintaro Shimada, Nan-Qi Ren, & Takeaki Ozawa. (2017). Rapid in vivo lipid/carbohydrate quantification of single microalgal cell by Raman spectral imaging to reveal salinity-induced starch-to-lipid shift. Biotechnology for Biofuels. 10(1). 9–9. 42 indexed citations
5.
Chiu, Liang‐da, Taro Ichimura, Hiroaki Machiyama, et al.. (2017). Protein expression guided chemical profiling of living cells by the simultaneous observation of Raman scattering and anti-Stokes fluorescence emission. Scientific Reports. 7(1). 43569–43569. 11 indexed citations
6.
Ichimura, Taro, Liang‐da Chiu, Katsumasa Fujita, et al.. (2016). Non-label immune cell state prediction using Raman spectroscopy. Scientific Reports. 6(1). 37562–37562. 61 indexed citations
7.
Yamaguchi, Y., Liang‐da Chiu, Katsumasa Fujita, et al.. (2015). Time-lapse Raman imaging of osteoblast differentiation. Scientific Reports. 5(1). 12529–12529. 44 indexed citations
8.
Palonpon, Almar F., Nicholas I. Smith, Liang‐da Chiu, et al.. (2015). Enhancement of the lateral resolution of Raman microscopy by use of structured illumination. The Japan Society of Applied Physics. 1 indexed citations
9.
Palonpon, Almar F., Nicholas I. Smith, Liang‐da Chiu, et al.. (2015). Structured line illumination Raman microscopy. Nature Communications. 6(1). 10095–10095. 82 indexed citations
10.
Ichimura, Taro, Liang‐da Chiu, Katsumasa Fujita, et al.. (2015). Visualizing the appearance and disappearance of the attractor of differentiation using Raman spectral imaging. Scientific Reports. 5(1). 11358–11358. 18 indexed citations
11.
Ichimura, Taro, Liang‐da Chiu, Katsumasa Fujita, et al.. (2014). Visualizing Cell State Transition Using Raman Spectroscopy. PLoS ONE. 9(1). e84478–e84478. 78 indexed citations
12.
Chiu, Liang‐da, Almar F. Palonpon, Nicholas I. Smith, et al.. (2014). Dual‐polarization Raman spectral imaging to extract overlapping molecular fingerprints of living cells. Journal of Biophotonics. 8(7). 546–554. 19 indexed citations
13.
Chiu, Liang‐da, Keigo Sawada, Katsumasa Fujita, et al.. (2014). In situ Raman imaging of osteoblastic mineralization. Journal of Raman Spectroscopy. 45(2). 157–161. 12 indexed citations
14.
Chiu, Liang‐da, Almar F. Palonpon, Keisaku Hamada, et al.. (2013). Polarised Raman imaging of living cells for chemical contrast manipulation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8587. 858720–858720. 4 indexed citations
15.
Chiu, Liang‐da, Françoise Hullin‐Matsuda, Toshihide Kobayashi, Hajime Torii, & Hiro‐o Hamaguchi. (2012). On the origin of the 1602 cm–1 Raman band of yeasts; contribution of ergosterol. Journal of Biophotonics. 5(10). 724–728. 35 indexed citations
16.
Chiu, Liang‐da, Logan Su, Stefanie Reichelt, & W. B. Amos. (2012). Use of a white light supercontinuum laser for confocal interference‐reflection microscopy. Journal of Microscopy. 246(2). 153–159. 13 indexed citations
17.
Chiu, Liang‐da & Hiro‐o Hamaguchi. (2010). The “Raman spectroscopic signature of life” is closely related to haem function in budding yeasts. Journal of Biophotonics. 4(1-2). 30–33. 14 indexed citations
18.
Chiu, Liang‐da, Masahiro Ando, & Hiro‐o Hamaguchi. (2009). Study of the ‘Raman spectroscopic signature of life’ in mitochondria isolated from budding yeast. Journal of Raman Spectroscopy. 41(1). 2–3. 27 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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