Jong-Young Kwak

17 total papers · 1.6k total citations
17 papers, 1.4k citations indexed

About

Jong-Young Kwak is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jong-Young Kwak has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Oncology. Recurrent topics in Jong-Young Kwak's work include Immune Response and Inflammation (6 papers), S100 Proteins and Annexins (5 papers) and Lipid Membrane Structure and Behavior (2 papers). Jong-Young Kwak is often cited by papers focused on Immune Response and Inflammation (6 papers), S100 Proteins and Annexins (5 papers) and Lipid Membrane Structure and Behavior (2 papers). Jong-Young Kwak collaborates with scholars based in South Korea, United States and Russia. Jong-Young Kwak's co-authors include Hae‐Young Park, Shalin H. Naik, Li Wu, Priyanka Sathe, Anna I. Proietto, Melanie Bahlo, Ken Shortman, Meredith O’Keeffe, Sebastian Carotta and Anthony T. Papenfuss and has published in prestigious journals such as Nature Immunology, The Journal of Immunology and Oncogene.

In The Last Decade

Jong-Young Kwak

17 papers receiving 1.3k citations

Hit Papers

Development of plasmacyto... 2007 2026 2013 2019 2007 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Jong-Young Kwak 758 483 196 155 97 17 1.4k
Linyong Du 583 0.8× 896 1.9× 78 0.4× 310 2.0× 35 0.4× 30 1.7k
Guor Mour Her 219 0.3× 606 1.3× 88 0.4× 52 0.3× 77 0.8× 32 1.1k
Derrick Sek Tong Ong 168 0.2× 549 1.1× 54 0.3× 66 0.4× 14 0.1× 22 1.2k
Shih‐Hsuan Chan 272 0.4× 1.1k 2.2× 54 0.3× 237 1.5× 42 0.4× 30 1.6k
Birgit Pöppelmann 361 0.5× 807 1.7× 16 0.1× 233 1.5× 16 0.2× 18 1.5k
Zhou Jiang 255 0.3× 679 1.4× 18 0.1× 181 1.2× 47 0.5× 26 1.1k
Marie-Ève Paquet 570 0.8× 590 1.2× 10 0.1× 62 0.4× 34 0.4× 22 1.3k
Helen Conroy 590 0.8× 472 1.0× 9 0.0× 201 1.3× 50 0.5× 12 1.2k
S Srimal 672 0.9× 437 0.9× 12 0.1× 87 0.6× 99 1.0× 20 1.4k
James W. Brodrick 117 0.2× 577 1.2× 112 0.6× 247 1.6× 6 0.1× 30 1.3k

Countries citing papers authored by Jong-Young Kwak

Since Specialization
Citations

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

Fields of papers citing papers by Jong-Young Kwak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong-Young Kwak. 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 Jong-Young Kwak. The network helps show where Jong-Young Kwak may publish in the future.

Co-authorship network of co-authors of Jong-Young Kwak

This figure shows the co-authorship network connecting the top 25 collaborators of Jong-Young Kwak. A scholar is included among the top collaborators of Jong-Young Kwak 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 Jong-Young Kwak. Jong-Young Kwak 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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