Michaela Jeong

11 total papers · 1.1k total citations
11 papers, 776 citations indexed

About

Michaela Jeong is a scholar working on Molecular Biology, Animal Science and Zoology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michaela Jeong has authored 11 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Animal Science and Zoology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michaela Jeong's work include RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Animal Virus Infections Studies (3 papers). Michaela Jeong is often cited by papers focused on RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Animal Virus Infections Studies (3 papers). Michaela Jeong collaborates with scholars based in South Korea and United States. Michaela Jeong's co-authors include Hyukjin Lee, Yeji Lee, Hyein Jung, M. Kim, Ki Taek Nam, Y. Cho, K. Lee, Sun Jin Hur, Young-Ho Seo and Jiyoung Park and has published in prestigious journals such as Advanced Functional Materials, Advanced Drug Delivery Reviews and Journal of Controlled Release.

In The Last Decade

Michaela Jeong

10 papers receiving 757 citations

Hit Papers

Engineered ionizable lipi... 2021 2026 2022 2024 2021 2023 2022 2023 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Michaela Jeong 624 116 109 85 77 11 776
Sang M. Lee 638 1.0× 107 0.9× 141 1.3× 95 1.1× 74 1.0× 14 795
Elisa Schrader Echeverri 532 0.9× 93 0.8× 79 0.7× 77 0.9× 86 1.1× 19 713
Kepan Chen 588 0.9× 177 1.5× 102 0.9× 41 0.5× 121 1.6× 10 768
Jared Beyersdorf 641 1.0× 133 1.1× 108 1.0× 51 0.6× 159 2.1× 12 821
Luke H. Rhym 702 1.1× 65 0.6× 155 1.4× 65 0.8× 73 0.9× 11 792
Sushmita Chatterjee 607 1.0× 152 1.3× 88 0.8× 129 1.5× 43 0.6× 18 827
Alexander Kvist 495 0.8× 59 0.5× 110 1.0× 66 0.8× 72 0.9× 15 734
Kamila Butowska 595 1.0× 153 1.3× 60 0.6× 110 1.3× 111 1.4× 14 808
Husain Attarwala 446 0.7× 129 1.1× 67 0.6× 59 0.7× 90 1.2× 19 747
Liu Liang Qin 769 1.2× 102 0.9× 111 1.0× 105 1.2× 32 0.4× 6 891

Countries citing papers authored by Michaela Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Jeong

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

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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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