Chung‐Il Wi

89 papers receiving 1.1k citations

Peers

Chung‐Il Wi
Comparison fields: 5 of 116
  • Health Informatics 79
  • Health Information Management 40
  • Physiology 148
  • Epidemiology 175
  • Modeling and Simulation 24
Replace Jonathan Inselman with:
Jonathan Inselman United States
Marien González‐Lorenzo Italy
Lucy Mackillop United Kingdom
Arya Aminorroaya United States
Eduardo Iturrate United States
Jiahao Peng United States
Dominique Vervoort United States
Shaofa Nie China
Eustasius Musenge South Africa
Yangbo Xing China
Chung‐Il Wi relative to Jonathan Inselman United States Jonathan Inselman's profile →
Citations per field
00.5×1.5×2.4×
Jonathan Inselman · 1×
Citations per year

Countries citing papers authored by Chung‐Il Wi

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐Il Wi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung‐Il Wi. 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 Chung‐Il Wi. The network helps show where Chung‐Il Wi may publish in the future.

Co-authors

The 25 scholars most cited alongside Chung‐Il Wi, 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 Chung‐Il Wi Line = papers co-authored together Chung‐Il Wi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201667
2 201761
3 201753
4 202148
5 201847
6 201643
7 202241
8 201541
9 201741
10 201737
11 201734
12 201934
13 201631
14 201830
15 201829
16 201927
17 202326
18 201423
19 201722
20 201620

About Chung‐Il Wi

Chung‐Il Wi is a scholar working on Physiology, Epidemiology, Surgery, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 97 papers that have together received 1.2k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (17 papers), Traumatic Brain Injury Research (3 papers), Respiratory and Cough-Related Research (3 papers), Infection Control and Ventilation (2 papers), COVID-19 epidemiological studies (2 papers), Pneumonia and Respiratory Infections (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Health Informatics (79 citations), Health Information Management (40 citations), Physiology (148 citations), Epidemiology (175 citations) and Modeling and Simulation (24 citations). Chung‐Il Wi has collaborated with scholars based in United States, South Korea and Belarus. Frequent co-authors include Young J. Juhn, Euijung Ryu, Sunghwan Sohn, Katherine S. King, Hongfang Liu, Elizabeth A. Krusemark, Philip H. Wheeler, Miguel A. Park, Youn Ho Sheen and Brian D. Lahr. Their work appears in journals such as Journal of Allergy and Clinical Immunology, BMJ Open, The Journal of Allergy and Clinical Immunology In Practice, Journal of Primary Care & Community Health and Mayo Clinic Proceedings.

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.

Explore authors with similar magnitude of impact