Hi‐Gung Bae

708 total citations
9 papers, 514 citations indexed

About

Hi‐Gung Bae is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Hi‐Gung Bae has authored 9 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Public Health, Environmental and Occupational Health and 3 papers in Epidemiology. Recurrent topics in Hi‐Gung Bae's work include Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (6 papers) and Viral Infections and Outbreaks Research (3 papers). Hi‐Gung Bae is often cited by papers focused on Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (6 papers) and Viral Infections and Outbreaks Research (3 papers). Hi‐Gung Bae collaborates with scholars based in Germany, Netherlands and France. Hi‐Gung Bae's co-authors include Matthias Niedrig, Andreas Nitsche, Anette Teichmann, Stefan S. Biel, Stefanie Thulke, Aleksandar Radonić, W. Siegert, Marcel A. Müller, Fernando de Ory and Antônio Tenório and has published in prestigious journals such as Clinical Infectious Diseases, The Journal of Infectious Diseases and Journal of Clinical Virology.

In The Last Decade

Hi‐Gung Bae

9 papers receiving 493 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hi‐Gung Bae Germany 8 333 303 107 101 39 9 514
Carolyn Weeks-Levy United States 14 321 1.0× 403 1.3× 75 0.7× 107 1.1× 17 0.4× 17 578
Yves Girerd-Chambaz France 12 264 0.8× 249 0.8× 87 0.8× 112 1.1× 26 0.7× 21 568
Jessica H. Tonry United States 11 291 0.9× 297 1.0× 112 1.0× 40 0.4× 15 0.4× 13 465
Hueylie Lin United States 6 341 1.0× 388 1.3× 146 1.4× 107 1.1× 18 0.5× 9 602
James Qu United States 8 158 0.5× 275 0.9× 109 1.0× 149 1.5× 14 0.4× 11 517
Tim D. Powell United States 11 256 0.8× 248 0.8× 82 0.8× 114 1.1× 15 0.4× 14 478
Christopher Clegg United Kingdom 13 214 0.6× 552 1.8× 131 1.2× 97 1.0× 15 0.4× 17 765
P. D. Minor United Kingdom 11 172 0.5× 473 1.6× 110 1.0× 204 2.0× 29 0.7× 23 774
Kristin M. Long United States 12 283 0.8× 319 1.1× 102 1.0× 99 1.0× 9 0.2× 17 565
Arthur Lyons United States 14 415 1.2× 504 1.7× 61 0.6× 148 1.5× 14 0.4× 19 671

Countries citing papers authored by Hi‐Gung Bae

Since Specialization
Citations

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

Fields of papers citing papers by Hi‐Gung Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hi‐Gung Bae

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

All Works

9 of 9 papers shown
1.
Veit, Olivia, Matthias Niedrig, Caroline Chapuis‐Taillard, et al.. (2009). Immunogenicity and Safety of Yellow Fever Vaccination for 102 HIV‐Infected Patients. Clinical Infectious Diseases. 48(5). 659–666. 86 indexed citations
2.
Bae, Hi‐Gung, Cristina Domingo, Antônio Tenório, et al.. (2008). Immune Response during Adverse Events after 17D‐Derived Yellow Fever Vaccination in Europe. The Journal of Infectious Diseases. 197(11). 1577–1584. 45 indexed citations
3.
Domingo, Cristina, Hi‐Gung Bae, Fernando de Ory, et al.. (2006). Yellow fever vaccine-associated viscerotropic disease and death in Spain. Journal of Clinical Virology. 36(2). 156–158. 48 indexed citations
4.
Bae, Hi‐Gung. (2006). Analyse der Immunantwort nach Infektion mit Gelbfieberviren. Refubium (Universitätsbibliothek der Freien Universität Berlin). 2 indexed citations
5.
Bae, Hi‐Gung, Christian Drosten, Petra Emmerich, et al.. (2005). Analysis of two imported cases of yellow fever infection from Ivory Coast and The Gambia to Germany and Belgium. Journal of Clinical Virology. 33(4). 274–280. 33 indexed citations
7.
Meulen, Jan ter, Kékoura Koulemou, N’Faly Magassouba, et al.. (2004). Activation of the Cytokine Network and Unfavorable Outcome in Patients with Yellow Fever. The Journal of Infectious Diseases. 190(10). 1821–1827. 81 indexed citations
8.
Lemmer, Karin, Oliver Donoso Mantke, Hi‐Gung Bae, et al.. (2003). External quality control assessment in PCR diagnostics of dengue virus infections. Journal of Clinical Virology. 30(4). 291–296. 26 indexed citations
9.
Bae, Hi‐Gung, Andreas Nitsche, Anette Teichmann, Stefan S. Biel, & Matthias Niedrig. (2003). Detection of yellow fever virus: a comparison of quantitative real-time PCR and plaque assay. Journal of Virological Methods. 110(2). 185–191. 105 indexed citations

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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