Michael A. Jhung

4.4k citations
38 papers · 1.6k indexed · h-index 25

Impact in

Papers in

Michael A. Jhung

38 papers receiving 1.5k citations

Peers

Michael A. Jhung
Comparison fields: 5 of 136
  • Modeling and Simulation 132
  • Infectious Diseases 528
  • Epidemiology 720
  • Emergency Medical Services 125
  • Endocrinology 85
Replace Jeffrey S. Duchin with:
Jeffrey S. Duchin United States
Pritish K. Tosh United States
Byung Chul Chun South Korea
Laurie Kamimoto United States
Justin R. Ortiz United States
Babatunde Olowokure United Kingdom
Frank Mahoney United States
Pere Godoy Spain
Samuel Ponce de León Mexico
R Yung Hong Kong
Michael A. Jhung relative to Jeffrey S. Duchin United States Jeffrey S. Duchin's profile →
Citations per field
00.5×1.5×
Jeffrey S. Duchin · 1×
Citations per year

Countries citing papers authored by Michael A. Jhung

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Jhung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Jhung. 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 Michael A. Jhung. The network helps show where Michael A. Jhung may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201535
2 201529
3 201466
4 20136
5 201324
6 20127
7 20123
8 20116
9 201148
10 20119
11
Influenza activity - United States and worldwide, June 13-September 25, 2010.
20109
12
Update: influenza activity - United States, October 3-December 11, 2010.
20103
13 2010135
14 201039
15 201025
16
Idiopathic granulomatous mastitis in hispanic women - Indiana, 2006-2008.
200940
17 200978
18 200789
19 200764
20 20071

About Michael A. Jhung

Michael A. Jhung is a scholar working on Infectious Diseases, Modeling and Simulation, Endocrinology, Epidemiology and Emergency Medical Services, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (17 papers), Respiratory viral infections research (10 papers), Viral gastroenteritis research and epidemiology (8 papers), COVID-19 epidemiological studies (4 papers), Animal Disease Management and Epidemiology (4 papers), Smoking Behavior and Cessation (3 papers), Viral Infections and Vectors (3 papers) and Disaster Response and Management (3 papers). The work is most often cited by research in Modeling and Simulation (132 citations), Infectious Diseases (528 citations), Epidemiology (720 citations), Emergency Medical Services (125 citations) and Endocrinology (85 citations). Michael A. Jhung has collaborated with scholars based in United States, Mongolia and Kenya. Frequent co-authors include Lyn Finelli, Shailen N. Banerjee, Matthew Biggerstaff, Alicia M. Fry, Deborah Imel Nelson, Carrie Reed, Daniel B. Jernigan, Patricia L. Riley, Stephen M. Vindigni and Lina S. Balluz. Their work appears in journals such as Clinical Infectious Diseases, Emerging infectious diseases, PEDIATRICS, Infection Control and Hospital Epidemiology and MMWR Morbidity and Mortality Weekly Report.

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

Rankless by CCL
2026