Heekyong Bae

45 total papers · 920 total citations
10 papers, 704 citations indexed

About

Heekyong Bae is a scholar working on Epidemiology, Molecular Biology and Surgery. According to data from OpenAlex, Heekyong Bae has authored 10 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Heekyong Bae's work include Liver Disease Diagnosis and Treatment (4 papers), Liver Diseases and Immunity (3 papers) and Systemic Lupus Erythematosus Research (2 papers). Heekyong Bae is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), Liver Diseases and Immunity (3 papers) and Systemic Lupus Erythematosus Research (2 papers). Heekyong Bae collaborates with scholars based in United States, South Korea and Japan. Heekyong Bae's co-authors include Howard A. Young, Jun‐Lin Guan, Nicole E. Scharping, Rebecca S. Moreci, Stacy G. Wendell, Greg M. Delgoffe, Jianxin Xie, Xue Zeng, Ashley V. Menk and Cliff Guy and has published in prestigious journals such as Hepatology, Clinical Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Heekyong Bae

9 papers receiving 700 citations

Hit Papers

Early TCR Signaling Induc... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Heekyong Bae 290 259 189 147 113 10 704
Michael Deutsch 243 0.8× 401 1.5× 157 0.8× 130 0.9× 72 0.6× 12 846
Xinhao Zhao 229 0.8× 372 1.4× 195 1.0× 75 0.5× 135 1.2× 19 799
Hing Lok Wong 178 0.6× 216 0.8× 141 0.7× 309 2.1× 91 0.8× 11 677
Laura L. Licato 188 0.6× 286 1.1× 163 0.9× 144 1.0× 190 1.7× 14 794
Mitsunari Yamamoto 235 0.8× 297 1.1× 114 0.6× 136 0.9× 77 0.7× 13 716
U Dierssen 229 0.8× 120 0.5× 163 0.9× 119 0.8× 104 0.9× 8 749
Naeem A. Essani 397 1.4× 191 0.7× 138 0.7× 123 0.8× 191 1.7× 13 864
Ian Gaël Rodrigue‐Gervais 353 1.2× 568 2.2× 197 1.0× 103 0.7× 137 1.2× 13 872
Paramananda Saikia 244 0.8× 247 1.0× 367 1.9× 70 0.5× 67 0.6× 20 879
Mary C. Stevenson 105 0.4× 394 1.5× 135 0.7× 289 2.0× 149 1.3× 14 868

Countries citing papers authored by Heekyong Bae

Since Specialization
Citations

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

Fields of papers citing papers by Heekyong Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heekyong Bae

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