Tu San Park

19 total papers · 1.0k total citations
14 papers, 799 citations indexed

About

Tu San Park is a scholar working on Biomedical Engineering, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Tu San Park has authored 14 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 7 papers in Molecular Biology and 5 papers in Infectious Diseases. Recurrent topics in Tu San Park's work include Biosensors and Analytical Detection (12 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Advanced Chemical Sensor Technologies (4 papers). Tu San Park is often cited by papers focused on Biosensors and Analytical Detection (12 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Advanced Chemical Sensor Technologies (4 papers). Tu San Park collaborates with scholars based in United States and South Korea. Tu San Park's co-authors include Jeong‐Yeol Yoon, David J. You, Wenyue Li, Katherine E. McCracken, Soohee Cho, Young Min Bae, Joon Kim, Seong Jin Cho, Soo Chung and Soo Jin Park and has published in prestigious journals such as Scientific Reports, Sensors and Biosensors and Bioelectronics.

In The Last Decade

Tu San Park

14 papers receiving 778 citations

Author Peers

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

Author Last Decade Papers Cites
Tu San Park 696 441 178 84 41 14 799
Riccardo Funari 535 0.8× 475 1.1× 163 0.9× 157 1.9× 16 0.4× 26 905
Dakota O’Dell 671 1.0× 361 0.8× 128 0.7× 115 1.4× 35 0.9× 19 855
Laura Fabiani 466 0.7× 439 1.0× 310 1.7× 125 1.5× 14 0.3× 16 701
Wei Xiao 580 0.8× 589 1.3× 199 1.1× 88 1.0× 60 1.5× 42 907
Haicong Shen 642 0.9× 702 1.6× 351 2.0× 76 0.9× 35 0.9× 22 989
Raphael C. Wong 371 0.5× 406 0.9× 100 0.6× 36 0.4× 46 1.1× 11 744
José Francisco Bergua 609 0.9× 531 1.2× 183 1.0× 49 0.6× 20 0.5× 11 743
Leila Syedmoradi 343 0.5× 353 0.8× 69 0.4× 131 1.6× 26 0.6× 17 734
Juxin Yin 615 0.9× 473 1.1× 138 0.8× 130 1.5× 43 1.0× 39 961
Suryasnata Tripathy 391 0.6× 430 1.0× 134 0.8× 282 3.4× 41 1.0× 37 820

Countries citing papers authored by Tu San Park

Since Specialization
Citations

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

Fields of papers citing papers by Tu San Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tu San Park. 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 Tu San Park. The network helps show where Tu San Park may publish in the future.

Co-authorship network of co-authors of Tu San Park

This figure shows the co-authorship network connecting the top 25 collaborators of Tu San Park. A scholar is included among the top collaborators of Tu San Park 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 Tu San Park. Tu San Park 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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