Songmee Bae

27 total papers · 447 total citations
22 papers, 364 citations indexed

About

Songmee Bae is a scholar working on Epidemiology, Microbiology and Infectious Diseases. According to data from OpenAlex, Songmee Bae has authored 22 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 8 papers in Microbiology and 6 papers in Infectious Diseases. Recurrent topics in Songmee Bae's work include Pneumonia and Respiratory Infections (13 papers), Bacterial Infections and Vaccines (8 papers) and Pneumocystis jirovecii pneumonia detection and treatment (4 papers). Songmee Bae is often cited by papers focused on Pneumonia and Respiratory Infections (13 papers), Bacterial Infections and Vaccines (8 papers) and Pneumocystis jirovecii pneumonia detection and treatment (4 papers). Songmee Bae collaborates with scholars based in South Korea and United States. Songmee Bae's co-authors include Yeon-Ho Kang, Kwangjun Lee, Sungkyoung Lee, Sunhwa Lee, EunAh Kim, Jae-Hwa Lee, Jae‐Hoon Lee, Young Hee Lee, Min Ja Kim and Bohyun Park and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Songmee Bae

21 papers receiving 357 citations

Author Peers

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

Author Last Decade Papers Cites
Songmee Bae 281 155 71 48 46 22 364
Corné de Vogel 195 0.7× 101 0.7× 70 1.0× 33 0.7× 25 0.5× 11 366
Zafer Ecevit 218 0.8× 175 1.1× 61 0.9× 53 1.1× 25 0.5× 29 327
A.-M. Van den Abeele 228 0.8× 86 0.6× 80 1.1× 41 0.9× 37 0.8× 15 363
Ricardo Dias 196 0.7× 112 0.7× 34 0.5× 28 0.6× 35 0.8× 29 332
Marina Pană 172 0.6× 77 0.5× 147 2.1× 79 1.6× 51 1.1× 17 342
Keiji Fujihara 200 0.7× 153 1.0× 65 0.9× 64 1.3× 48 1.0× 31 390
Herbert J. Harwick 141 0.5× 146 0.9× 71 1.0× 30 0.6× 24 0.5× 19 323
Laura Cebrián 231 0.8× 58 0.4× 42 0.6× 30 0.6× 84 1.8× 26 371
María Dolores Quesada 291 1.0× 61 0.4× 118 1.7× 52 1.1× 31 0.7× 20 386
Erna Lund 226 0.8× 98 0.6× 61 0.9× 47 1.0× 9 0.2× 30 345

Countries citing papers authored by Songmee Bae

Since Specialization
Citations

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

Fields of papers citing papers by Songmee Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songmee Bae

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