Elizabeth A. Middleton

5.9k citations
49 papers · 2.7k indexed · 1 hit paper · h-index 23

Elizabeth A. Middleton

47 papers receiving 2.6k citations

Hit Papers

Platelet gene expression and function in patients with CO...6292020202620222024200400600

Peers

Elizabeth A. Middleton
Comparison fields: 5 of 134
  • Internal Medicine 196
  • Infectious Diseases 704
  • Hematology 393
  • General Health Professions 594
  • Neurology 282
Replace James A. Kaye with:
James A. Kaye United States
María A. López-Olivo United States
Irbaz Bin Riaz United States
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Elizabeth A. Middleton relative to James A. Kaye United States James A. Kaye's profile →
Citations per field
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James A. Kaye · 1×
Citations per year

Countries citing papers authored by Elizabeth A. Middleton

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth A. Middleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth A. Middleton. 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 Elizabeth A. Middleton. The network helps show where Elizabeth A. Middleton may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 20236
4 202216
5 202227
6 20229
7 202217
8 202125
9 202159
10 202181
11 202047
12
Platelet gene expression and function in patients with COVID-19breakdown →
2020629
13 2019122
14 201848
15 2007276
16 2007312
17 200713
18 200353
19 20035
20 198845

About Elizabeth A. Middleton

Elizabeth A. Middleton is a scholar working on Hematology, Internal Medicine and Infectious Diseases, having authored 49 papers that have together received 2.7k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (12 papers), COVID-19 Clinical Research Studies (10 papers), Blood properties and coagulation (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Health Promotion and Cardiovascular Prevention (4 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Sepsis Diagnosis and Treatment (4 papers) and Chronic Disease Management Strategies (3 papers). The work is most often cited by research in Internal Medicine (196 citations), Infectious Diseases (704 citations) and Hematology (393 citations). Elizabeth A. Middleton has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David Reeves, Robert A. Campbell, Matthew T. Rondina, Andrew S. Weyrich, Stephen Campbell, Martín Roland, Bhanu Kanth Manne, Aaron C. Petrey, Frederik Denorme and Guy A. Zimmerman. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation and Nature Communications.

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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