Jun Hyuk Heo

56 total papers · 1.9k total citations
46 papers, 1.4k citations indexed

About

Jun Hyuk Heo is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Jun Hyuk Heo has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 17 papers in Molecular Biology and 15 papers in Materials Chemistry. Recurrent topics in Jun Hyuk Heo's work include Advanced biosensing and bioanalysis techniques (14 papers), Biosensors and Analytical Detection (8 papers) and Advanced Nanomaterials in Catalysis (6 papers). Jun Hyuk Heo is often cited by papers focused on Advanced biosensing and bioanalysis techniques (14 papers), Biosensors and Analytical Detection (8 papers) and Advanced Nanomaterials in Catalysis (6 papers). Jun Hyuk Heo collaborates with scholars based in South Korea, United States and United Kingdom. Jun Hyuk Heo's co-authors include Jung Heon Lee, Jin Woong Lee, Hui Hun Cho, Woon Hyung Cheong, Young‐Geun Park, Franklin Bien, Chang Young Lee, Jang‐Ung Park, Kyungmin Na and So-Yun Kim and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Jun Hyuk Heo

42 papers receiving 1.4k citations

Hit Papers

Soft, smart contact lense... 2018 2026 2020 2023 2018 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Jun Hyuk Heo 713 347 310 299 284 46 1.4k
Yun Chen 345 0.5× 473 1.4× 514 1.7× 222 0.7× 457 1.6× 73 1.7k
Chengduan Yang 803 1.1× 373 1.1× 355 1.1× 120 0.4× 516 1.8× 46 1.7k
Neeraj Dwivedi 564 0.8× 197 0.6× 280 0.9× 147 0.5× 486 1.7× 69 1.4k
Sohee Lee 521 0.7× 298 0.9× 609 2.0× 435 1.5× 196 0.7× 73 1.7k
Saimon Moraes Silva 591 0.8× 425 1.2× 345 1.1× 137 0.5× 156 0.5× 52 1.2k
Jing Zhang 590 0.8× 523 1.5× 526 1.7× 162 0.5× 548 1.9× 78 1.7k
Dajing Chen 758 1.1× 434 1.3× 484 1.6× 225 0.8× 243 0.9× 62 1.6k
Aamir Ahmed 546 0.8× 276 0.8× 551 1.8× 247 0.8× 331 1.2× 30 1.4k
Sihong Chen 515 0.7× 277 0.8× 262 0.8× 213 0.7× 328 1.2× 72 1.5k
Nishtha Panwar 840 1.2× 369 1.1× 279 0.9× 171 0.6× 614 2.2× 28 1.7k

Countries citing papers authored by Jun Hyuk Heo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hyuk Heo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Hyuk Heo. 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 Jun Hyuk Heo. The network helps show where Jun Hyuk Heo may publish in the future.

Co-authorship network of co-authors of Jun Hyuk Heo

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Hyuk Heo. A scholar is included among the top collaborators of Jun Hyuk Heo 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 Jun Hyuk Heo. Jun Hyuk Heo 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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