Elizabeth A. Middleton

48 papers receiving 2.6k citations

Elizabeth A. Middleton's Hit Papers

Platelet gene expression and function in patients with COVID-19 2020 · 639 citations
6390+2+4Years since publication200400600

Peers

Elizabeth A. Middleton
Comparison fields: 5 of 127
  • Internal Medicine 158
  • Hematology 373
  • Infectious Diseases 592
  • Neurology 231
  • General Health Professions 354
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Citations per field
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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-authors

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

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Platelet gene expression and function in patients with COVID-19
Hit paper breakdown →
2020639
2 2007312
3 2007277
4 2005157
5 2019126
6 2016119
7 202184
8 202079
9 200866
10 201766
11 202162
12 200353
13 201849
14 202048
15 198845
16 202145
17
Vancomycin anaphylaxis and successful desensitization.
199442
18 201939
19 201837
20 201729

About Elizabeth A. Middleton

Elizabeth A. Middleton is a scholar working on Hematology, Molecular Biology, Infectious Diseases, Epidemiology and Pulmonary and Respiratory Medicine, having authored 49 papers that have together received 2.7k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (14 papers), COVID-19 Clinical Research Studies (8 papers), Blood properties and coagulation (5 papers), Sepsis Diagnosis and Treatment (4 papers), Health Promotion and Cardiovascular Prevention (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Primary Care and Health Outcomes (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Internal Medicine (158 citations), Hematology (373 citations), Infectious Diseases (592 citations), Neurology (231 citations) and General Health Professions (354 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 Jesse W. Rowley. Their work appears in journals such as Blood, Journal of Thrombosis and Haemostasis, Thrombosis Research, Journal of Epidemiology & Community Health and Research and Practice in Thrombosis and Haemostasis.

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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