Chadwick King
Impact in
- Hematology top 5%
- Iron Metabolism and Disorders
- Surgery top 10%
- Lipoproteins and Cardiovascular Health
- Cholesterol and Lipid Metabolism
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 5
-
- Iron Metabolism and Disorders 3
- Co-authors
- Ian N. Foltz (5 shared papers)Aaron G. Winters (3 shared papers)Da Wei Huang (1 shared paper)Mohammed M. Shareef (1 shared paper)Rebecca Kellum (1 shared paper)Mona B. Damaj (1 shared paper)Barbra Johnson Sasu (3 shared papers)Keegan S. Cooke (2 shared papers)
- Journals
- Blood (3 papers)Journal of Immunological Methods (2 papers)Science Translational Medicine (1 paper)F1000Research (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Chadwick King
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 52
- Hematology 172
- Surgery 271
- Radiology, Nuclear Medicine and Imaging 86
- Molecular Biology 228
- Oncology 61
Countries citing papers authored by Chadwick King
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 363 | |
| 2 | 2012 | 191 | |
| 3 | 2017 | 135 | |
| 4 | 2012 | 120 | |
| 5 | 2001 | 104 | |
| 6 | 2013 | 91 | |
| 7 | 2019 | 59 | |
| 8 | 2020 | 44 | |
| 9 | 2015 | 38 | |
| 10 | 2016 | 32 | |
| 11 | 2016 | 28 | |
| 12 | 2015 | 25 | |
| 13 | 2016 | 20 | |
| 14 | 2012 | 16 | |
| 15 | 2017 | 11 | |
| 16 | 2018 | 11 | |
| 17 | 2009 | 1 | |
| 18 | 2005 | 0 |
About Chadwick King
Chadwick King is a scholar working on Radiology, Nuclear Medicine and Imaging, Hematology, Molecular Biology, Surgery and Immunology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Iron Metabolism and Disorders (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Migraine and Headache Studies (1 paper), Ion channel regulation and function (1 paper), Fibroblast Growth Factor Research (1 paper), Genomics and Chromatin Dynamics (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Hematology (172 citations), Surgery (271 citations), Radiology, Nuclear Medicine and Imaging (86 citations), Molecular Biology (228 citations) and Oncology (61 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, Da Wei Huang, Mohammed M. Shareef, Rebecca Kellum, Mona B. Damaj, Barbra Johnson Sasu, Keegan S. Cooke, Graham Molineux and Hossein Salimi-Moosavi. Their work appears in journals such as Blood, Journal of Immunological Methods, Science Translational Medicine, F1000Research and Molecular Biology of the Cell.
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.