Neil Murthy

1.2k citations
27 papers · 512 indexed · 1 hit paper · h-index 13

Impact in

Papers in

    • Vaccine Coverage and Hesitancy 21
    • Influenza Virus Research Studies 11
    • Pneumonia and Respiratory Infections 8
    • Hepatitis B Virus Studies 2

Neil Murthy

26 papers receiving 494 citations

Hit Papers

Disparities in COVID-19 Vaccination Coverage Between Urban and Rural Counties — United States, December 14, 2020–January 31, 2022 2022 · 104 citations
1040+1+2Years since publication255075100

Peers

Neil Murthy
Comparison fields: 5 of 79
  • Health 344
  • Modeling and Simulation 94
  • Infectious Diseases 192
  • Obstetrics and Gynecology 51
  • Epidemiology 224
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Citations per field
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Citations per year

Countries citing papers authored by Neil Murthy

Since Specialization
Citations

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

Fields of papers citing papers by Neil Murthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Disparities in COVID-19 Vaccination Coverage Between Urban and Rural Counties — United States, December 14, 2020–January 31, 2022
Hit paper breakdown →
2022104
2 201887
3 201743
4 202132
5 202131
6 202224
7 202320
8 202320
9 202218
10 202218
11 202414
12 202214
13 202313
14 202312
15 202011
16 202410
17
Reluctant patients--the women of India.
198210
18 201710
19 20248
20 20223

About Neil Murthy

Neil Murthy is a scholar working on Health, Epidemiology, Infectious Diseases, Modeling and Simulation and Obstetrics and Gynecology, having authored 27 papers that have together received 512 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (21 papers), Influenza Virus Research Studies (11 papers), Pneumonia and Respiratory Infections (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 epidemiological studies (6 papers), COVID-19 Impact on Reproduction (4 papers), Hepatitis B Virus Studies (2 papers) and Travel-related health issues (2 papers). The work is most often cited by research in Health (344 citations), Modeling and Simulation (94 citations), Infectious Diseases (192 citations), Obstetrics and Gynecology (51 citations) and Epidemiology (224 citations). Neil Murthy has collaborated with scholars based in United States, France and U.S. Virgin Islands. Frequent co-authors include Bhavini Patel Murthy, Elizabeth R. Zell, Lauren Shaw, LaTreace Harris, Lu Meng, A. Patricia Wodi, Hannah E. Fast, Lynn Gibbs‐Scharf, Ryan Saelee and Terence Chorba. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Vaccine, Emerging infectious diseases, Annals of Internal Medicine and Human Vaccines & Immunotherapeutics.

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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