Ubonvan Termsarasab

11 total papers · 561 total citations
10 papers, 502 citations indexed

About

Ubonvan Termsarasab is a scholar working on Biomaterials, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Ubonvan Termsarasab has authored 10 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomaterials, 6 papers in Biomedical Engineering and 4 papers in Molecular Biology. Recurrent topics in Ubonvan Termsarasab's work include Nanoparticle-Based Drug Delivery (9 papers), Nanoplatforms for cancer theranostics (6 papers) and Advanced Drug Delivery Systems (4 papers). Ubonvan Termsarasab is often cited by papers focused on Nanoparticle-Based Drug Delivery (9 papers), Nanoplatforms for cancer theranostics (6 papers) and Advanced Drug Delivery Systems (4 papers). Ubonvan Termsarasab collaborates with scholars based in South Korea, Puerto Rico and Ethiopia. Ubonvan Termsarasab's co-authors include Hyun‐Jong Cho, Dae‐Duk Kim, Hyun Tae Moon, Jae‐Young Lee, In‐Soo Yoon, Ju-Hwan Park, Seung-Hak Ko, Jae-Seong Shim, Saeho Chong and Song Yi Lee and has published in prestigious journals such as Journal of Controlled Release, Acta Biomaterialia and International Journal of Pharmaceutics.

In The Last Decade

Ubonvan Termsarasab

10 papers receiving 495 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ubonvan Termsarasab 312 194 178 122 47 10 502
Guichen Zhou 259 0.8× 175 0.9× 213 1.2× 109 0.9× 25 0.5× 9 503
Haijun Zhong 212 0.7× 141 0.7× 188 1.1× 73 0.6× 31 0.7× 7 467
Seung-Hak Ko 256 0.8× 189 1.0× 193 1.1× 70 0.6× 67 1.4× 11 495
Golnaz Kamalinia 228 0.7× 122 0.6× 209 1.2× 88 0.7× 30 0.6× 17 563
Keke Li 225 0.7× 171 0.9× 177 1.0× 151 1.2× 18 0.4× 17 562
Hussaini Syed Sha Qhattal 259 0.8× 183 0.9× 260 1.5× 68 0.6× 102 2.2× 5 558
Miaomiao Long 309 1.0× 191 1.0× 190 1.1× 40 0.3× 42 0.9× 14 451
Zi-Xian Liao 200 0.6× 156 0.8× 278 1.6× 74 0.6× 31 0.7× 14 528
Zhen-Hai Zhang 200 0.6× 130 0.7× 351 2.0× 93 0.8× 26 0.6× 12 585
Guangxi Zhai 230 0.7× 136 0.7× 121 0.7× 61 0.5× 105 2.2× 11 449

Countries citing papers authored by Ubonvan Termsarasab

Since Specialization
Citations

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

Fields of papers citing papers by Ubonvan Termsarasab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ubonvan Termsarasab

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

All Works

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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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2026