Johan Unga

588 total citations
19 papers, 434 citations indexed

About

Johan Unga is a scholar working on Biomedical Engineering, Materials Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Johan Unga has authored 19 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 8 papers in Materials Chemistry and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Johan Unga's work include Ultrasound and Hyperthermia Applications (18 papers), Photoacoustic and Ultrasonic Imaging (14 papers) and Ultrasound and Cavitation Phenomena (8 papers). Johan Unga is often cited by papers focused on Ultrasound and Hyperthermia Applications (18 papers), Photoacoustic and Ultrasonic Imaging (14 papers) and Ultrasound and Cavitation Phenomena (8 papers). Johan Unga collaborates with scholars based in Japan and United States. Johan Unga's co-authors include Mitsuru Hashida, Kazuo Maruyama, Ryo Suzuki, Daiki Omata, Shigeru Kawakami, Fumiyoshi Yamashita, Yusuke Oda, Yuriko Higuchi, Tomoyuki Naoi and Kohji Masuda and has published in prestigious journals such as Advanced Drug Delivery Reviews, Journal of Controlled Release and Acta Biomaterialia.

In The Last Decade

Johan Unga

19 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Johan Unga Japan	11	359	138	89	59	47	19	434
Joke Deprez Belgium	8	343 1.0×	156 1.1×	72 0.8×	72 1.2×	65 1.4×	13	462
Estelle Beguin United Kingdom	7	331 0.9×	123 0.9×	61 0.7×	33 0.6×	32 0.7×	11	375
Pinunta Nittayacharn United States	12	303 0.8×	114 0.8×	124 1.4×	43 0.7×	31 0.7×	25	408
Milita Darguzyte Germany	7	194 0.5×	68 0.5×	109 1.2×	39 0.7×	85 1.8×	10	335
Chenchen Bing United States	12	330 0.9×	97 0.7×	75 0.8×	147 2.5×	62 1.3×	18	444
Yuanzhi Yao China	6	461 1.3×	121 0.9×	167 1.9×	35 0.6×	97 2.1×	9	520
Frederik Soetaert Belgium	3	280 0.8×	102 0.7×	194 2.2×	29 0.5×	68 1.4×	6	396
Ilya Skachkov Netherlands	11	454 1.3×	227 1.6×	35 0.4×	148 2.5×	48 1.0×	30	525
Yutaka Irie Japan	10	236 0.7×	105 0.8×	68 0.8×	17 0.3×	28 0.6×	20	329
Aziz B. Mirkasymov Russia	9	191 0.5×	93 0.7×	125 1.4×	28 0.5×	81 1.7×	15	336

Countries citing papers authored by Johan Unga

Since Specialization

Citations

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

Fields of papers citing papers by Johan Unga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Unga

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

All Works

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19 of 19 papers shown

Omata, Daiki, Johan Unga, Ryo Suzuki, et al.. (2021). Lipid bubbles combined with low-intensity ultrasound enhance the intratumoral accumulation and antitumor effect of pegylated liposomal doxorubicin in vivo. Drug Delivery. 28(1). 530–541. 10 indexed citations

Omata, Daiki, et al.. (2020). Effect of lipid shell composition in DSPG-based microbubbles on blood flow imaging with ultrasonography. International Journal of Pharmaceutics. 590. 119886–119886. 4 indexed citations

Unga, Johan, et al.. (2020). The Application of the <i>in-Situ</i> Hyperthermia Emission from Acoustic Nanodroplets for Theranostic Dual-Imaging and Antitumor Modalities. Biological and Pharmaceutical Bulletin. 43(7). 1141–1145. 1 indexed citations

Omata, Daiki, Johan Unga, Ryo Suzuki, & Kazuo Maruyama. (2020). Lipid-based microbubbles and ultrasound for therapeutic application. Advanced Drug Delivery Reviews. 154-155. 236–244. 59 indexed citations

Murahata, Yusuke, Kazuki Harada, Yuji Sunden, et al.. (2020). A Pilot Study on Efficacy of Lipid Bubbles for Theranostics in Dogs with Tumors. Cancers. 12(9). 2423–2423. 4 indexed citations

Otsuka, T, et al.. (2019). Viability validation of therapeutic cells according to surrounded amount of microbubbles and ultrasound exposure condition. Japanese Journal of Applied Physics. 58(SG). SGGE13–SGGE13. 11 indexed citations

Omata, Daiki, et al.. (2019). Effects of encapsulated gas on stability of lipid-based microbubbles and ultrasound-triggered drug delivery. Journal of Controlled Release. 311-312. 65–73. 51 indexed citations

Unga, Johan, et al.. (2019). Evaluation of the Theranostic Potential of Perfluorohexane-Based Acoustic Nanodroplets. Biological and Pharmaceutical Bulletin. 42(12). 2038–2044. 3 indexed citations

Unga, Johan, et al.. (2019). Scale-up production, characterization and toxicity of a freeze-dried lipid-stabilized microbubble formulation for ultrasound imaging and therapy. Journal of Liposome Research. 30(3). 297–304. 13 indexed citations

10.

Masuda, Kohji, et al.. (2018). Experimental Study for Active Control of Bubble-Surrounded Cells by Acoustic Radiation Force with Considering Optimal Production and Cell Viability. 1–9. 5 indexed citations

11.

Omata, Daiki, Ryo Suzuki, Johan Unga, & Kazuo Maruyama. (2018). Theranostics based on microbubbles and ultrasound. Drug Delivery System. 33(3). 190–196. 1 indexed citations

12.

Unga, Johan, et al.. (2018). Development and evaluation of stability and ultrasound response of DSPC-DPSG-based freeze-dried microbubbles. Journal of Liposome Research. 29(4). 368–374. 22 indexed citations

13.

Kawakami, Shigeru, Johan Unga, Yuriko Higuchi, et al.. (2017). The development of mechanically formed stable nanobubbles intended for sonoporation-mediated gene transfection. Drug Delivery. 24(1). 320–327. 32 indexed citations

14.

Mochizuki, Takashi, Kohji Masuda, Johan Unga, et al.. (2016). Experimental analysis of behavior in nanobubbles using echograms under ultrasound exposure. Japanese Journal of Applied Physics. 55(7S1). 07KF06–07KF06. 12 indexed citations

15.

Oda, Yusuke, Ryo Suzuki, Hideyo Takahashi, et al.. (2015). Development of fluorous lipid-based nanobubbles for efficiently containing perfluoropropane. International Journal of Pharmaceutics. 487(1-2). 64–71. 19 indexed citations

16.

Kawakami, Shigeru, Johan Unga, Ryo Suzuki, et al.. (2015). Evaluation of the potential of doxorubicin loaded microbubbles as a theranostic modality using a murine tumor model. Acta Biomaterialia. 19. 112–118. 34 indexed citations

17.

Suzuki, Ryo, Yusuke Oda, Johan Unga, et al.. (2015). Development of cell-targeting bubble liposome for effective gene delivery with ultrasound. Asian Journal of Pharmaceutical Sciences. 11(1). 146–147. 1 indexed citations

18.

Suzuki, Ryo, Yusuke Oda, Daiki Omata, et al.. (2015). Tumor growth suppression by the combination of nanobubbles and ultrasound. Cancer Science. 107(3). 217–223. 50 indexed citations

19.

Unga, Johan & Mitsuru Hashida. (2014). Ultrasound induced cancer immunotherapy. Advanced Drug Delivery Reviews. 72. 144–153. 102 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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