Jing-Yi Chung

9 total papers · 1.1k total citations
5 papers, 687 citations indexed

About

Jing-Yi Chung is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jing-Yi Chung has authored 5 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Immunology. Recurrent topics in Jing-Yi Chung's work include CRISPR and Genetic Engineering (3 papers), CAR-T cell therapy research (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Jing-Yi Chung is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), CAR-T cell therapy research (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Jing-Yi Chung collaborates with scholars based in United States, France and Spain. Jing-Yi Chung's co-authors include Mandeep Sandhu, Reza Hajian, Noreen Wauford, Irina M. Conboy, Tara R. deBoer, Jacobo Paredes, Kiana Aran, Jessy Etienne, Brett Goldsmith and Niren Murthy and has published in prestigious journals such as Cell, Nature Communications and Blood.

In The Last Decade

Jing-Yi Chung

5 papers receiving 678 citations

Hit Papers

Detection of unamplified ... 2019 2026 2021 2023 2019 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
Jing-Yi Chung 502 263 159 129 65 5 687
Jessy Etienne 512 1.0× 265 1.0× 91 0.6× 39 0.3× 64 1.0× 8 747
Dhruv Sud 140 0.3× 256 1.0× 125 0.8× 79 0.6× 41 0.6× 11 626
Jacob W. Coffey 169 0.3× 236 0.9× 59 0.4× 82 0.6× 89 1.4× 16 646
А. В. Лахин 606 1.2× 265 1.0× 47 0.3× 34 0.3× 54 0.8× 7 744
Eric Alonas 281 0.6× 143 0.5× 158 1.0× 74 0.6× 58 0.9× 16 725
Shell Ip 378 0.8× 225 0.9× 99 0.6× 56 0.4× 28 0.4× 15 685
Pit Bingen 177 0.4× 184 0.7× 62 0.4× 48 0.4× 40 0.6× 8 566
Michael McKinstry 394 0.8× 198 0.8× 48 0.3× 38 0.3× 16 0.2× 6 691
Alan Dafforn 385 0.8× 120 0.5× 32 0.2× 36 0.3× 18 0.3× 6 586
Elisabeth Kastner 343 0.7× 322 1.2× 34 0.2× 130 1.0× 37 0.6× 11 741

Countries citing papers authored by Jing-Yi Chung

Since Specialization
Citations

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

Fields of papers citing papers by Jing-Yi Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing-Yi Chung. 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 Jing-Yi Chung. The network helps show where Jing-Yi Chung may publish in the future.

Co-authorship network of co-authors of Jing-Yi Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Jing-Yi Chung. A scholar is included among the top collaborators of Jing-Yi Chung 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 Jing-Yi Chung. Jing-Yi Chung 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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