Eun Ji Joo

33 total papers · 939 total citations
24 papers, 752 citations indexed

About

Eun Ji Joo is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Eun Ji Joo has authored 24 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Cell Biology and 7 papers in Immunology. Recurrent topics in Eun Ji Joo's work include Glycosylation and Glycoproteins Research (11 papers), Proteoglycans and glycosaminoglycans research (8 papers) and Toxin Mechanisms and Immunotoxins (5 papers). Eun Ji Joo is often cited by papers focused on Glycosylation and Glycoproteins Research (11 papers), Proteoglycans and glycosaminoglycans research (8 papers) and Toxin Mechanisms and Immunotoxins (5 papers). Eun Ji Joo collaborates with scholars based in South Korea, United States and Japan. Eun Ji Joo's co-authors include Yeong Shik Kim, Robert J. Linhardt, Jonathan S. Dordick, Jaemoo Chun, Meiying Xu, Nora Heisterkamp, Hisham Abdel‐Azim, Helicia Paz, John Groffen and Young Wan Ha and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Eun Ji Joo

24 papers receiving 743 citations

Author Peers

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

Author Last Decade Papers Cites
Eun Ji Joo 523 158 120 98 84 24 752
Xinli Shi 380 0.7× 101 0.6× 157 1.3× 91 0.9× 44 0.5× 49 736
Jen-Wei Chiao 523 1.0× 63 0.4× 110 0.9× 46 0.5× 98 1.2× 23 782
Gwenda Pynaert 382 0.7× 67 0.4× 180 1.5× 61 0.6× 51 0.6× 15 769
Qun Li 475 0.9× 81 0.5× 73 0.6× 212 2.2× 70 0.8× 35 760
Kou Motani 432 0.8× 103 0.7× 189 1.6× 24 0.2× 99 1.2× 17 669
Wei‐Chun HuangFu 453 0.9× 81 0.5× 183 1.5× 70 0.7× 87 1.0× 42 839
Ju Bao 511 1.0× 76 0.5× 59 0.5× 57 0.6× 107 1.3× 31 830
Karen Creswell 428 0.8× 117 0.7× 186 1.6× 90 0.9× 44 0.5× 20 796
F. Aerts 233 0.4× 186 1.2× 81 0.7× 42 0.4× 27 0.3× 25 626
Naofumi Takahashi 362 0.7× 66 0.4× 218 1.8× 55 0.6× 82 1.0× 61 817

Countries citing papers authored by Eun Ji Joo

Since Specialization
Citations

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

Fields of papers citing papers by Eun Ji Joo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun Ji Joo. 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 Eun Ji Joo. The network helps show where Eun Ji Joo may publish in the future.

Co-authorship network of co-authors of Eun Ji Joo

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026