DJ King

1.6k citations
15 papers · 1.3k · h-index 10

Impact in

Papers in

DJ King

15 papers receiving 1.2k citations

Peers

DJ King
Comparison fields: 5 of 85
  • Cognitive Neuroscience 731
  • Sensory Systems 60
  • Radiology, Nuclear Medicine and Imaging 281
  • Nutrition and Dietetics 162
  • Neurology 59
Replace Yumiko Nishikawa with:
Yumiko Nishikawa Japan
Eduardo Silva Portugal
Qiang Yue China
János Szabó Hungary
Masafumi Yoshimura Japan
Lazar T. Sumanovski Switzerland
Diana Tănase United States
Omar H. Butt United States
Kai Boelmans Germany
DJ King relative to Yumiko Nishikawa Japan Yumiko Nishikawa's profile →
Citations per field
00.5×2.9×
Yumiko Nishikawa · 1×
Citations per year

Countries citing papers authored by DJ King

Since Specialization
Citations

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

Fields of papers citing papers by DJ King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1995484
2 1995272
3 1994122
4
Improved tumor targeting with chemically cross-linked recombinant antibody fragments.
1994101
5 199568
6 199061
7 199446
8 199644
9 199626
10 19949
11 19799
12 19838
13 19788
14 19984
15 19982

About DJ King

DJ King is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Psychiatry and Mental health, Pathology and Forensic Medicine and Biological Psychiatry, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Schizophrenia research and treatment (4 papers), Glycosylation and Glycoproteins Research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Visual perception and processing mechanisms (2 papers), Fatty Acid Research and Health (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Cognitive Neuroscience (731 citations), Sensory Systems (60 citations), Radiology, Nuclear Medicine and Imaging (281 citations), Nutrition and Dietetics (162 citations) and Neurology (59 citations). DJ King has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include J.D. Schall, J. Bullier, A. Morel, KG Thompson, RB Pedley, Alison Turner, Raymond J. Owens, RHJ Begent, R Boden and Angela Mountain. Their work appears in journals such as British Journal of Cancer, British Journal of Clinical Pharmacology, Journal of Neuroscience, American Journal of Clinical Nutrition and Journal of Medical Economics.

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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