Jee Eun Rhee

891 citations
47 papers · 676 · h-index 15

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 21
    • HIV/AIDS drug development and treatment 2
    • Cervical Cancer and HPV Research 7
    • Respiratory viral infections research 6
    • Influenza Virus Research Studies 2

Jee Eun Rhee

43 papers receiving 664 citations

Peers

Jee Eun Rhee
Comparison fields: 5 of 66
  • Endocrinology 82
  • Modeling and Simulation 74
  • Infectious Diseases 232
  • Epidemiology 172
  • Genetics 54
Replace Shwetha Hara Sridhar with:
Shwetha Hara Sridhar United States
Ruth E. Dickenson United Kingdom
Mingxi Hua China
Timothy Byaruhanga Uganda
Charles Ochieng’ Olwal Ghana
Sonia Algarate Spain
David K. Butler United Kingdom
Olalla Martínez-Macías Spain
Yuhei Morioka Japan
Maimuna Kimuli United Kingdom
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Citations per field
00.5×10×20×34×
Shwetha Hara Sridhar · 1×
Citations per year

Countries citing papers authored by Jee Eun Rhee

Since Specialization
Citations

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

Fields of papers citing papers by Jee Eun Rhee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jee Eun Rhee. 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 Jee Eun Rhee. The network helps show where Jee Eun Rhee may publish in the future.

Co-authors

The 25 scholars most cited alongside Jee Eun Rhee, 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 Jee Eun Rhee Line = papers co-authored together Jee Eun Rhee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202167
2 200263
3
Identification and functional analysis of vibrio vulnificus SmcR, a novel global regulator.
200752
4 202252
5 202136
6 200632
7 202126
8 202424
9 202223
10 201322
11 201319
12 201116
13 201515
14 201515
15 202215
16 202215
17 202314
18 201513
19 202113
20 202413

About Jee Eun Rhee

Jee Eun Rhee is a scholar working on Infectious Diseases, Epidemiology, Endocrinology, Modeling and Simulation and Genetics, having authored 47 papers that have together received 676 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (21 papers), Cervical Cancer and HPV Research (7 papers), Respiratory viral infections research (6 papers), Bacterial Genetics and Biotechnology (4 papers), Vibrio bacteria research studies (4 papers), Epigenetics and DNA Methylation (2 papers), Influenza Virus Research Studies (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Endocrinology (82 citations), Modeling and Simulation (74 citations), Infectious Diseases (232 citations), Epidemiology (172 citations) and Genetics (54 citations). Jee Eun Rhee has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Sang Ho Choi, Eun‐Jin Kim, Nam‐Joo Lee, SangHee Woo, Phil Youl Ryu, Joon Haeng Rhee, Jeong Hyun Lee, Sung Soon Kim, Jeong‐Min Kim and Heui Man Kim. Their work appears in journals such as Virology Journal, Emerging infectious diseases, International Journal of Molecular Sciences, Viruses and Journal of Clinical Virology.

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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