Ewa King

1.0k citations
25 papers · 294 · h-index 10

Impact in

Papers in

Ewa King

24 papers receiving 283 citations

Peers

Ewa King
Comparison fields: 5 of 69
  • Toxicology 74
  • Agronomy and Crop Science 80
  • Immunology 93
  • Ecology, Evolution, Behavior and Systematics 69
  • Emergency Medicine 32
Replace A. K. M. Dawlat Khan with:
A. K. M. Dawlat Khan Bangladesh
Amjad Khan Pakistan
Kimberly A. Porter United States
Joris Vandeputte United States
Maria Helena Lourenço Portugal
Rachel Kwiatkowska United Kingdom
Vibhawari Dani India
D. Greenspan United States
Hugo Rázuri Peru
Ewa King relative to A. K. M. Dawlat Khan Bangladesh A. K. M. Dawlat Khan's profile →
Citations per field
00.5×10.3×
A. K. M. Dawlat Khan · 1×
Citations per year

Countries citing papers authored by Ewa King

Since Specialization
Citations

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

Fields of papers citing papers by Ewa King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201586
2 202030
3 199523
4 199221
5
Mercury, lead, and cadmium in umbilical cord blood.
201321
6 199315
7 199214
8 199613
9 202113
10 199412
11 19948
12 20224
13 20214
14 20164
15
SARS-CoV-2 Variants in Rhode Island.
20214
16 20154
17
Rhode Island Unintentional Drug Overdose Death Trends and Ranking - Office of the State Medical Examiners Database.
20183
18 20223
19
SARS-CoV-2 Variants in Rhode Island; May 2022 Update.
20223
20 20162

About Ewa King

Ewa King is a scholar working on Infectious Diseases, Agronomy and Crop Science, Immunology, Ecology, Evolution, Behavior and Systematics and Public Health, Environmental and Occupational Health, having authored 25 papers that have together received 294 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), T-cell and Retrovirus Studies (7 papers), SARS-CoV-2 detection and testing (6 papers), Vector-Borne Animal Diseases (4 papers), Opioid Use Disorder Treatment (3 papers), Pain Management and Opioid Use (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Toxicology (74 citations), Agronomy and Crop Science (80 citations), Immunology (93 citations), Ecology, Evolution, Behavior and Systematics (69 citations) and Emergency Medicine (32 citations). Ewa King has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Gregory A. Dekaban, J. Arp, Matthew Lozier, Lauren Lewis, Christina Stanley, Molly Boyd, Colleen Martin, George P. Rice, T J Palker and David J. Waters. Their work appears in journals such as Journal of Medical Virology, Journal of Virology, Public Health Reports, Journal of Exposure Science & Environmental Epidemiology and Health Affairs.

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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