Jaerak Chang

44 total papers · 1.5k total citations
38 papers, 1.0k citations indexed

About

Jaerak Chang is a scholar working on Cell Biology, Molecular Biology and Epidemiology. According to data from OpenAlex, Jaerak Chang has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cell Biology, 10 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Jaerak Chang's work include Autophagy in Disease and Therapy (9 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Jaerak Chang is often cited by papers focused on Autophagy in Disease and Therapy (9 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Jaerak Chang collaborates with scholars based in South Korea, United States and Germany. Jaerak Chang's co-authors include Craig Blackstone, Seongju Lee, Kunsoo Rhee, Eun‐Jung Park, Benoît Renvoisé, Onur Cizmecioglu, Ingrid Hoffmann, Alexander Pines, Jung Han Yoon and Kyuhong Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Jaerak Chang

37 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Jaerak Chang 448 368 251 191 156 38 1.0k
Marinella Pirozzi 268 0.6× 670 1.8× 309 1.2× 133 0.7× 186 1.2× 25 1.2k
Lukas J. Neukomm 277 0.6× 396 1.1× 285 1.1× 101 0.5× 154 1.0× 27 1.0k
Guang Lin 187 0.4× 583 1.6× 138 0.5× 134 0.7× 154 1.0× 33 1.1k
Beatriz Alvarez‐Castelao 307 0.7× 762 2.1× 271 1.1× 131 0.7× 121 0.8× 31 1.1k
Rosemary Lemons 215 0.5× 264 0.7× 222 0.9× 55 0.3× 92 0.6× 24 991
An Jacobs 306 0.7× 568 1.5× 397 1.6× 46 0.2× 132 0.8× 27 1.2k
Sujata Saraswat Ohri 217 0.5× 360 1.0× 203 0.8× 233 1.2× 67 0.4× 39 930
John Anagli 387 0.9× 602 1.6× 143 0.6× 104 0.5× 81 0.5× 31 1.0k
Andrew M.S. Wong 348 0.8× 406 1.1× 107 0.4× 141 0.7× 539 3.5× 25 960
Luis Tecedor 213 0.5× 686 1.9× 146 0.6× 133 0.7× 390 2.5× 20 1.1k

Countries citing papers authored by Jaerak Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jaerak Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaerak Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jaerak Chang. A scholar is included among the top collaborators of Jaerak Chang 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 Jaerak Chang. Jaerak Chang 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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