Patrick Ellsworth

679 citations
24 papers · 460 · h-index 10

Impact in

  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 10%
    • Hemophilia Treatment and Research
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

    • Hemoglobinopathies and Related Disorders 8
    • Hemophilia Treatment and Research 8
    • Blood Coagulation and Thrombosis Mechanisms 2

Patrick Ellsworth

23 papers receiving 456 citations

Peers

Patrick Ellsworth
Comparison fields: 5 of 59
  • Genetics 89
  • Hematology 108
  • Modeling and Simulation 24
  • Internal Medicine 13
  • Microbiology 22
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Rafic Farah United States
Femke Stephan Netherlands
Chiara Mandoj Italy
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Micaela Harrasser United Kingdom
Mark Dougal United Kingdom
Giammarco Surico Italy
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Citations per field
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Citations per year

Countries citing papers authored by Patrick Ellsworth

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Ellsworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021110
2 202073
3 201959
4 201345
5 202236
6 201926
7 202122
8 202017
9 202017
10 202111
11 202010
12 20208
13 20236
14 20245
15 20243
16 20212
17 20242
18 20252
19 20151
20 20161

About Patrick Ellsworth

Patrick Ellsworth is a scholar working on Genetics, Hematology, Automotive Engineering, Pulmonary and Respiratory Medicine and Modeling and Simulation, having authored 24 papers that have together received 460 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (8 papers), Hemoglobinopathies and Related Disorders (8 papers), Electric and Hybrid Vehicle Technologies (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Antimicrobial Peptides and Activities (1 paper), Blood properties and coagulation (1 paper), Mathematical Biology Tumor Growth (1 paper) and Radiation Therapy and Dosimetry (1 paper). The work is most often cited by research in Genetics (89 citations), Hematology (108 citations), Modeling and Simulation (24 citations), Internal Medicine (13 citations) and Microbiology (22 citations). Patrick Ellsworth has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Nigel S. Key, Scott Jacob, Rafał Pawliński, Michael W. Kattan, Kamran A. Ahmed, Michael Wayne Henderson, Javier F. Torres–Roca, Jessica A. Scarborough, Daniel Eli Oliver and Steven Eschrich. Their work appears in journals such as Journal of Thrombosis and Haemostasis, Blood Advances, Blood, SAE technical papers on CD-ROM/SAE technical paper series and Haemophilia.

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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