Eun‐Suk Kang

241 total papers · 4.3k total citations
164 papers, 2.5k citations indexed

About

Eun‐Suk Kang is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Eun‐Suk Kang has authored 164 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Epidemiology, 41 papers in Immunology and 39 papers in Infectious Diseases. Recurrent topics in Eun‐Suk Kang's work include Immune Cell Function and Interaction (30 papers), T-cell and B-cell Immunology (23 papers) and Renal Transplantation Outcomes and Treatments (17 papers). Eun‐Suk Kang is often cited by papers focused on Immune Cell Function and Interaction (30 papers), T-cell and B-cell Immunology (23 papers) and Renal Transplantation Outcomes and Treatments (17 papers). Eun‐Suk Kang collaborates with scholars based in South Korea, United States and Germany. Eun‐Suk Kang's co-authors include Kyong Ran Peck, Doo Ryeon Chung, Yae‐Jean Kim, Cheol‐In Kang, Jin Yang Baek, Won‐Jung Koh, Young Eun Ha, Chi Ryang Chung, Kyeongman Jeon and Sun Young Cho and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Eun‐Suk Kang

154 papers receiving 2.5k 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‐Suk Kang 866 616 430 403 324 164 2.5k
Yongzhe Li 576 0.7× 598 1.0× 727 1.7× 554 1.4× 243 0.8× 209 3.0k
Laura Falasca 595 0.7× 669 1.1× 564 1.3× 733 1.8× 318 1.0× 90 2.8k
Hisashi Kawashima 604 0.7× 675 1.1× 487 1.1× 622 1.5× 254 0.8× 177 2.5k
Maurizio Benucci 643 0.7× 469 0.8× 847 2.0× 422 1.0× 390 1.2× 181 3.5k
Maurice R.G. O’Gorman 628 0.7× 473 0.8× 880 2.0× 589 1.5× 190 0.6× 104 2.7k
Jordan E. Axelrad 603 0.7× 795 1.3× 289 0.7× 382 0.9× 505 1.6× 151 2.3k
Xuemei Li 781 0.9× 398 0.6× 499 1.2× 967 2.4× 238 0.7× 184 3.7k
Ping Zhou 370 0.4× 552 0.9× 448 1.0× 444 1.1× 262 0.8× 146 2.5k
Alex Richter 645 0.7× 255 0.4× 364 0.8× 282 0.7× 326 1.0× 102 2.1k
Vivek Jain 539 0.6× 524 0.9× 368 0.9× 1.4k 3.5× 481 1.5× 118 4.3k

Countries citing papers authored by Eun‐Suk Kang

Since Specialization
Citations

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

Fields of papers citing papers by Eun‐Suk Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun‐Suk Kang. 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‐Suk Kang. The network helps show where Eun‐Suk Kang may publish in the future.

Co-authorship network of co-authors of Eun‐Suk Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Suk Kang. A scholar is included among the top collaborators of Eun‐Suk Kang 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‐Suk Kang. Eun‐Suk Kang 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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