Amanda Kamali

525 citations
21 papers · 301 indexed · h-index 11
Topics
COVID-19 epidemiological studies (5 papers)SARS-CoV-2 and COVID-19 Research (4 papers)SARS-CoV-2 detection and testing (4 papers)
Partner nations
United StatesFrance

In The Last Decade

Amanda Kamali

20 papers receiving 290 citations

Peers

Amanda Kamali
Comparison fields: 5 of 77
  • Infectious Diseases 154
  • Epidemiology 126
  • Emergency Medicine 44
  • Modeling and Simulation 41
  • Molecular Biology 36
Replace Nathan Y. Shehu with:
Nathan Y. Shehu Nigeria
Meredith Haddix United States
Jamila Aboulhab Singapore
Dylan Kain Canada
Chathika K. Weerasuriya United Kingdom
Hippolyte Situakibanza Democratic Republic of the Congo
Sarah E. Rowan United States
Amy James Loftis United States
Sonja Mali United States
Diane Gashumba Rwanda
Amanda Kamali relative to Nathan Y. Shehu Nigeria Nathan Y. Shehu's profile →
Citations per field
00.5×5.3×
Nathan Y. Shehu · 1×
Citations per year

Countries citing papers authored by Amanda Kamali

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Kamali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda Kamali

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda Kamali. A scholar is included among the top collaborators of Amanda Kamali 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 Amanda Kamali. Amanda Kamali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 2
4 3
5 10
6 7
7 1
8 23
9 13
10 18
11 9
12 3
13 10
14 13
15 10
16 1
17 0
18
Evidence for declining numbers of Ebola cases--Montserrado County, Liberia, June-October 2014.
13
19 74
20 70

About Amanda Kamali

Amanda Kamali is a scholar working on Modeling and Simulation, Infectious Diseases and Molecular Medicine, having authored 21 papers that have together received 301 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and SARS-CoV-2 detection and testing (4 papers). The work is most often cited by research in Modeling and Simulation (41 citations), Infectious Diseases (154 citations) and Virology (24 citations). Amanda Kamali has collaborated with scholars based in United States and France. Frequent co-authors include Mark Holodniy, Seema Jain, Duc J. Vugia, Benjamin A. Lopman, Aaron J. Siegler, Heather Bradley, Kayoko Shioda, Mansour Fahimi, Travis Sanchez and Alexander T. Yu. Their work appears in journals such as Clinical Infectious Diseases, Scientific Reports and Emerging infectious diseases.

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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