Fonghsu Kuo

425 total citations
11 papers, 325 citations indexed

About

Fonghsu Kuo is a scholar working on Molecular Biology, Neurology and Biomedical Engineering. According to data from OpenAlex, Fonghsu Kuo has authored 11 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Biomedical Engineering. Recurrent topics in Fonghsu Kuo's work include ATP Synthase and ATPases Research (2 papers), Electron Spin Resonance Studies (2 papers) and Neuroblastoma Research and Treatments (2 papers). Fonghsu Kuo is often cited by papers focused on ATP Synthase and ATPases Research (2 papers), Electron Spin Resonance Studies (2 papers) and Neuroblastoma Research and Treatments (2 papers). Fonghsu Kuo collaborates with scholars based in United States, Taiwan and Belgium. Fonghsu Kuo's co-authors include Robert J. Nicolosi, Thomas A. Wilson, Balajikarthick Subramanian, Subbiah Yoganathan, H. E. Horng, Chin‐Yih Hong, Shieh‐Yueh Yang, Daniel A. Kirschner, Robin L. Avila and Özgür Çakıcı and has published in prestigious journals such as Applied Physics Letters, The FASEB Journal and Free Radical Biology and Medicine.

In The Last Decade

Fonghsu Kuo

11 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fonghsu Kuo United States 8 87 81 69 56 35 11 325
Katarina Ekelund Sweden 10 136 1.6× 26 0.3× 139 2.0× 44 0.8× 21 0.6× 11 365
Diksha Kaushik United States 11 84 1.0× 27 0.3× 102 1.5× 35 0.6× 71 2.0× 34 448
Ru Lin China 14 152 1.7× 29 0.4× 34 0.5× 19 0.3× 48 1.4× 33 514
T. Herrling Germany 11 89 1.0× 29 0.4× 28 0.4× 34 0.6× 54 1.5× 25 527
Hu Xu China 12 175 2.0× 57 0.7× 24 0.3× 48 0.9× 24 0.7× 22 451
Priyanka Rathore India 7 61 0.7× 20 0.2× 46 0.7× 11 0.2× 34 1.0× 23 288
Carina Dargel Germany 11 186 2.1× 39 0.5× 21 0.3× 30 0.5× 31 0.9× 19 331
Joshua A. Tournas United States 8 53 0.6× 44 0.5× 25 0.4× 62 1.1× 11 0.3× 9 533
T. Handa Japan 9 141 1.6× 37 0.5× 154 2.2× 33 0.6× 55 1.6× 15 379
Ameha Seyoum Woldu Australia 6 107 1.2× 97 1.2× 27 0.4× 13 0.2× 47 1.3× 10 378

Countries citing papers authored by Fonghsu Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Fonghsu Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fonghsu Kuo

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

All Works

11 of 11 papers shown
1.
Inouye, Hideyo, et al.. (2017). Myelin structure in unfixed, single nerve fibers: Scanning X-ray microdiffraction with a beam size of 200 nm. Journal of Structural Biology. 200(3). 229–243. 8 indexed citations
2.
Luoma, Adrienne, Fonghsu Kuo, Özgür Çakıcı, et al.. (2015). Plasmalogen phospholipids protect internodal myelin from oxidative damage. Free Radical Biology and Medicine. 84. 296–310. 73 indexed citations
3.
Subramanian, Balajikarthick, Fonghsu Kuo, Earl T. Ada, et al.. (2008). Enhancement of anti-inflammatory property of aspirin in mice by a nano-emulsion preparation. International Immunopharmacology. 8(11). 1533–1539. 40 indexed citations
4.
Kuo, Fonghsu, et al.. (2008). Nanoemulsions of an anti-oxidant synergy formulation containing gamma tocopherol have enhanced bioavailability and anti-inflammatory properties. International Journal of Pharmaceutics. 363(1-2). 206–213. 53 indexed citations
5.
Kuo, Fonghsu, et al.. (2007). Increased bioavailability of a transdermal application of a nano-sized emulsion preparation. International Journal of Pharmaceutics. 347(1-2). 144–148. 48 indexed citations
6.
Kuo, Fonghsu, et al.. (2007). A nanoemulsion of an anti-oxidant synergy formulation reduces tumor growth rate in neuroblastoma-bearing nude mice.. PubMed. 6(2). 129–35. 11 indexed citations
7.
8.
Kuo, Fonghsu, et al.. (2007). A nanoemulsion preparation of aspirin enhances its anti‐inflammatory effect in CD‐1 mice.. The FASEB Journal. 21(5). 2 indexed citations
9.
Kuo, Fonghsu, et al.. (2007). A nanoemulsion of an anti-oxidant synergy formulation reduces tumor growth rate in neuroblastoma-bearing nude mice. Journal of Neuropathology & Experimental Neurology. 66(5). 428–428. 4 indexed citations
10.
Hong, Chin‐Yih, et al.. (1999). Evidence of multiple states of ordered structures and a phase transition in magnetic fluid films under perpendicular magnetic fields. Applied Physics Letters. 75(15). 2196–2198. 52 indexed citations
11.
Horng, H. E., Chin‐Yih Hong, H. C. Yang, et al.. (1999). Magnetic field dependence of Cotton–Mouton rotation for magnetic fluid films. Journal of Magnetism and Magnetic Materials. 201(1-3). 215–217. 32 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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