Hyunjoo Pai

3.6k total citations
116 papers, 2.6k citations indexed

About

Hyunjoo Pai is a scholar working on Epidemiology, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, Hyunjoo Pai has authored 116 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Epidemiology, 40 papers in Infectious Diseases and 31 papers in Molecular Medicine. Recurrent topics in Hyunjoo Pai's work include Antibiotic Resistance in Bacteria (31 papers), Urinary Tract Infections Management (31 papers) and Clostridium difficile and Clostridium perfringens research (24 papers). Hyunjoo Pai is often cited by papers focused on Antibiotic Resistance in Bacteria (31 papers), Urinary Tract Infections Management (31 papers) and Clostridium difficile and Clostridium perfringens research (24 papers). Hyunjoo Pai collaborates with scholars based in South Korea, United States and Ethiopia. Hyunjoo Pai's co-authors include Jieun Kim, Kang Won Choe, Jung Min Kim, Jong‐Won Kim, Bongyoung Kim, Eui-Chong Kim, Hoan Jong Lee, Yun Kyung Kim, Miran Seo and Jung Oak Kang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Hyunjoo Pai

112 papers receiving 2.5k citations

Peers

Hyunjoo Pai
Comparison fields: 5 of 96
  • Molecular Medicine 1.4k
  • Epidemiology 1.1k
  • Infectious Diseases 648
  • Endocrinology 551
  • Pharmacology 434
Replace Deniz Gür with:
Deniz Gür Türkiye
Beatriz Mirelis Spain
Georgia Vrioni Greece
Gopi Patel United States
Amos Adler Israel
M. E. Falagas United States
Dimitrios K. Matthaiou Greece
Chang-Phone Fung Taiwan
Paul‐Louis Woerther France
Thean Yen Tan Singapore
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Citations per field, relative to Hyunjoo Pai
Hyunjoo Pai · 1×
Citations per year, relative to Hyunjoo Pai
Hyunjoo Pai · 1×

Countries citing papers authored by Hyunjoo Pai

Since Specialization
Citations

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

Fields of papers citing papers by Hyunjoo Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyunjoo Pai

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 4
3 1
4 3
5 7
6 1
7 1
8 2
9 6
10 1
11 7
12 7
13 5
14 5
15 16
16 28
17 23
18 7
19
Acute infectious diarrhea
4
20 154

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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