In‐Gyu Bae

64 papers receiving 1.3k citations

Peers

In‐Gyu Bae
Comparison fields: 5 of 96
  • Applied Microbiology and Biotechnology 62
  • Infectious Diseases 547
  • Clinical Biochemistry 175
  • Molecular Medicine 103
  • Epidemiology 302
Replace Marc Dangel with:
Marc Dangel Switzerland
Jennifer S. McDanel United States
Daniel A. Green United States
E.G. Smyth Ireland
Mauro José Costa Salles Brazil
Dan Gregson Canada
Aaron E. Glatt United States
Christian Chuard Switzerland
Luís Fernando Aranha Camargo Brazil
Rajeshwari Nair United States
In‐Gyu Bae relative to Marc Dangel Switzerland Marc Dangel's profile →
Citations per field
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Citations per year

Countries citing papers authored by In‐Gyu Bae

Since Specialization
Citations

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

Fields of papers citing papers by In‐Gyu Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside In‐Gyu Bae, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with In‐Gyu Bae Line = papers co-authored together In‐Gyu Bae links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007134
2 2016103
3 200983
4 200863
5 201456
6 200255
7 200852
8 201344
9 200841
10 201537
11 201337
12 201836
13 201936
14 201834
15 201328
16 201926
17 200926
18 201425
19 201623
20 202122

About In‐Gyu Bae

In‐Gyu Bae is a scholar working on Infectious Diseases, Epidemiology, Clinical Biochemistry, Molecular Medicine and Public Health, Environmental and Occupational Health, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (12 papers), Bacterial Identification and Susceptibility Testing (11 papers), Antibiotic Resistance in Bacteria (9 papers), Pneumonia and Respiratory Infections (8 papers), Streptococcal Infections and Treatments (7 papers), Bacterial biofilms and quorum sensing (6 papers), Infectious Diseases and Tuberculosis (5 papers) and Antifungal resistance and susceptibility (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (62 citations), Infectious Diseases (547 citations), Clinical Biochemistry (175 citations), Molecular Medicine (103 citations) and Epidemiology (302 citations). In‐Gyu Bae has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Oh‐Hyun Cho, Vance G. Fowler, Mi Suk Lee, Ki–Ho Park, Sun‐Joo Kim, Martín E. Stryjewski, Yang Soo Kim, Thomas H. Rude, Sang‐Ho Choi and Steven L. Barriere. Their work appears in journals such as Journal of Clinical Microbiology, Clinical Infectious Diseases, Diagnostic Microbiology and Infectious Disease, Journal of Korean Medical Science and Medical Mycology.

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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