Lynn Gibbs‐Scharf
- Health top 2%
- Infectious Diseases top 10%
- Modeling and Simulation top 2%
- Epidemiology
- General Health Professions top 10%
- Co-authors
- Bhavini Patel MurthyLaTreace HarrisElizabeth R. ZellLauren ShawNeil MurthyLu MengRyan SaeleeHannah E. Fast
- Topics
- Vaccine Coverage and Hesitancy (12 papers)SARS-CoV-2 and COVID-19 Research (7 papers)COVID-19 Impact on Reproduction (6 papers)
- Partner nations
- United StatesU.S. Virgin IslandsFrance
In The Last Decade
Lynn Gibbs‐Scharf
16 papers receiving 570 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Health 426
- Infectious Diseases 179
- Modeling and Simulation 176
- Epidemiology 170
- General Health Professions 117
Countries citing papers authored by Lynn Gibbs‐Scharf
This map shows the geographic impact of Lynn Gibbs‐Scharf'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 Lynn Gibbs‐Scharf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynn Gibbs‐Scharf more than expected).
Fields of papers citing papers by Lynn Gibbs‐Scharf
This network shows the impact of papers produced by Lynn Gibbs‐Scharf. 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 Lynn Gibbs‐Scharf. The network helps show where Lynn Gibbs‐Scharf may publish in the future.
Co-authorship network of co-authors of Lynn Gibbs‐Scharf
This figure shows the co-authorship network connecting the top 25 collaborators of Lynn Gibbs‐Scharf. A scholar is included among the top collaborators of Lynn Gibbs‐Scharf 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 Lynn Gibbs‐Scharf. Lynn Gibbs‐Scharf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 20 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | Disparities in COVID-19 Vaccination Coverage Between Urban and Rural Counties — United States, December 14, 2020–January 31, 2022breakdown → | 104 |
| 8 | 24 | |
| 9 | 1 | |
| 10 | 14 | |
| 11 | 0 | |
| 12 | 24 | |
| 13 | 31 | |
| 14 | County-Level COVID-19 Vaccination Coverage and Social Vulnerability — United States, December 14, 2020–March 1, 2021breakdown → | 174 |
| 15 | Impact of the COVID-19 Pandemic on Administration of Selected Routine Childhood and Adolescent Vaccinations — 10 U.S. Jurisdictions, March–September 2020breakdown → | 137 |
| 16 | 24 | |
| 17 | 13 |
About Lynn Gibbs‐Scharf
Lynn Gibbs‐Scharf is a scholar working on Health, Modeling and Simulation and Obstetrics and Gynecology, having authored 17 papers that have together received 588 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (12 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and COVID-19 Impact on Reproduction (6 papers). The work is most often cited by research in Health (426 citations), Modeling and Simulation (176 citations) and Infectious Diseases (179 citations). Lynn Gibbs‐Scharf has collaborated with scholars based in United States, U.S. Virgin Islands and France. Frequent co-authors include Bhavini Patel Murthy, LaTreace Harris, Elizabeth R. Zell, Lauren Shaw, Neil Murthy, Lu Meng, Ryan Saelee, Hannah E. Fast, Shannon Stokley and Terence Chorba. Their work appears in journals such as Emerging infectious diseases, Vaccine 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.