Lisa Han

436 citations
17 papers · 285 · h-index 8

Impact in

    • Vaccine Coverage and Hesitancy
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Pneumonia and Respiratory Infections

Papers in

Lisa Han

17 papers receiving 280 citations

Peers

Lisa Han
Comparison fields: 5 of 59
  • Health 49
  • Epidemiology 178
  • Geriatrics and Gerontology 15
  • Modeling and Simulation 17
  • Infectious Diseases 56
Replace Anja Kwetkat with:
Anja Kwetkat Germany
Aaron D. Storms United States
Ana S. Salazar United States
Scarlett Georges France
Calanit Key Israel
Christelle Elias France
Kunal Saxena United States
Francesco Andrea Causio Italy
Ken Ho United States
Zunyou Wu China
Lisa Han relative to Anja Kwetkat Germany Anja Kwetkat's profile →
Citations per field
00.5×1.5×1.9×
Anja Kwetkat · 1×
Citations per year

Countries citing papers authored by Lisa Han

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2017122
2 201031
3 201728
4 202021
5 201618
6 202217
7 201913
8 202112
9 20227
10 20066
11 20252
12 20212
13 20182
14 20191
15 20151
16 20201
17 20161

About Lisa Han

Lisa Han is a scholar working on Epidemiology, General Health Professions, Emergency Medicine, Pulmonary and Respiratory Medicine and Health, having authored 17 papers that have together received 285 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), Geriatric Care and Nursing Homes (6 papers), Emergency and Acute Care Studies (4 papers), Respiratory Support and Mechanisms (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Vaccine Coverage and Hesitancy (2 papers), Respiratory viral infections research (2 papers) and Inhalation and Respiratory Drug Delivery (2 papers). The work is most often cited by research in Health (49 citations), Epidemiology (178 citations), Geriatrics and Gerontology (15 citations), Modeling and Simulation (17 citations) and Infectious Diseases (56 citations). Lisa Han has collaborated with scholars based in United States and Canada. Frequent co-authors include H. Edward Davidson, Stefan Gravenstein, Vincent Mor, Monica Taljaard, Pedro Gozalo, Jessica Ogarek, William Simonson, Kevin W. McConeghy, Elie Saade and David H. Canaday. Their work appears in journals such as Open Forum Infectious Diseases, Clinical Infectious Diseases, Journal of the American Medical Directors Association, Human Vaccines & Immunotherapeutics and JAMA Network Open.

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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