E King

1.7k citations
11 papers · 1.1k · 2 hit papers · h-index 5

Impact in

Papers in

E King

9 papers receiving 1.1k citations

E King's Hit Papers

SARS-CoV-2 infection rates of antibody-positive compared with antibody-negative health-care workers in England: a large, multicentre, prospective cohort study (SIREN) 2021 · 443 citations
4430+1+3Years since publication100200300400500

Peers

E King
Comparison fields: 5 of 80
  • Infectious Diseases 771
  • Modeling and Simulation 194
  • Health 261
  • Obstetrics and Gynecology 30
  • Animal Science and Zoology 42
Replace Marilyn J. Odean with:
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Chittaranjan Subudhi India
Jillian Graves United States
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A Roebuck United Kingdom
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E King relative to Marilyn J. Odean United States Marilyn J. Odean's profile →
Citations per field
00.5×1.5×
Marilyn J. Odean · 1×
Citations per year

Countries citing papers authored by E King

Since Specialization
Citations

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

Fields of papers citing papers by E King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside E 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 E King Line = papers co-authored together E King links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
COVID-19 vaccine coverage in health-care workers in England and effectiveness of BNT162b2 mRNA vaccine against infection (SIREN): a prospective, multicentre, cohort study
Hit paper breakdown →
2021577
2
SARS-CoV-2 infection rates of antibody-positive compared with antibody-negative health-care workers in England: a large, multicentre, prospective cohort study (SIREN)
Hit paper breakdown →
2021443
3 202124
4 202014
5 202010
6 20205
7 20164
8 20213
9 20221
10 20190
11 20060

About E King

E King is a scholar working on Experimental and Cognitive Psychology, Psychiatry and Mental health, Medical Terminology, Infectious Diseases and Organizational Behavior and Human Resource Management, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), Sleep and related disorders (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers), Mindfulness and Compassion Interventions (1 paper), Medical Research and Practices (1 paper), Blood groups and transfusion (1 paper), Attention Deficit Hyperactivity Disorder (1 paper) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper). The work is most often cited by research in Infectious Diseases (771 citations), Modeling and Simulation (194 citations), Health (261 citations), Obstetrics and Gynecology (30 citations) and Animal Science and Zoology (42 citations). E King has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Peter Denton White, Sheila N. Garland, Michelle Beynon, Trudie Chalder and Michael Sharpe. Their work appears in journals such as Journal of Psychosomatic Research, The Lancet, SLEEP, Sleep Health and Journal of American College Health.

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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