Chadwick King

1.6k citations
14 papers · 585 · h-index 11

Impact in

  • Hematology top 5%
    • Iron Metabolism and Disorders
    • Erythropoietin and Anemia Treatment
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders

Papers in

Chadwick King

14 papers receiving 571 citations

Peers

Chadwick King
Comparison fields: 5 of 73
  • Hematology 180
  • Genetics 127
  • Nutrition and Dietetics 87
  • Radiology, Nuclear Medicine and Imaging 105
  • Molecular Biology 247
Replace Federica Ferri with:
Federica Ferri France
Tomáš Olejár Czechia
Mathew Nightingale Canada
Ngoc-Bich Nguyen United States
Marcella Brescia Netherlands
Fumio Takada Japan
Carolyn T. Spencer United States
Sandra Murphy Ireland
Margaret Coutts United States
Ariel Finkielsztein United States
Chadwick King relative to Federica Ferri France Federica Ferri's profile →
Citations per field
00.5×2×4×6.0×
Federica Ferri · 1×
Citations per year

Countries citing papers authored by Chadwick King

Since Specialization
Citations

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

Fields of papers citing papers by Chadwick King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2012118
2 2001104
3 201391
4 201955
5 202043
6 201538
7 201629
8 201629
9 201523
10 201619
11 201215
12 201711
13 20189
14 20091

About Chadwick King

Chadwick King is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Hematology, Immunology and Molecular Biology, having authored 14 papers that have together received 585 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Iron Metabolism and Disorders (3 papers), Biosimilars and Bioanalytical Methods (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Microfluidic and Bio-sensing Technologies (1 paper), Glycosylation and Glycoproteins Research (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Hematology (180 citations), Genetics (127 citations), Nutrition and Dietetics (87 citations), Radiology, Nuclear Medicine and Imaging (105 citations) and Molecular Biology (247 citations). Chadwick King has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ian N. Foltz, Aaron G. Winters, Mohammed M. Shareef, Mona B. Damaj, Da Wei Huang, Rebecca Kellum, Graham Molineux, Keegan S. Cooke, Barbra Johnson Sasu and Hossein Salimi-Moosavi. Their work appears in journals such as Journal of Immunological Methods, Blood, F1000Research, Journal of Pharmacology and Experimental Therapeutics and Immunological Reviews.

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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