Christine King

75 papers receiving 3.4k citations

Hit Papers

Antibiotic resistance is ancient 2011 · 1.9k citations
1.9k201120262016202150010001.5k

Peers

Christine King
Comparison fields: 5 of 185
  • Molecular Medicine 850
  • Applied Microbiology and Biotechnology 208
  • Pollution 897
  • Cognitive Neuroscience 679
  • Cellular and Molecular Neuroscience 456
Replace O. Colin Stine with:
O. Colin Stine United States
Camryn L. Phillips United States
Keiko Yokoyama Japan
Lars Sundström United Kingdom
Thomas O’Brien United States
Shaolin Wang China
Robert J. Mitchell South Korea
Weiyi Wang China
Filip Van Nieuwerburgh Belgium
Debmalya Barh India
Christine King relative to O. Colin Stine United States O. Colin Stine's profile →
Citations per field
00.5×4.4×
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Citations per year

Countries citing papers authored by Christine King

Since Specialization
Citations

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

Fields of papers citing papers by Christine King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20240
4 20200
5 201835
6 201710
7 201750
8 201789
9 201646
10 201545
11 201570
12 201368
13 20126
14 201235
15 20114
16 201196
17 201156
18 200683
19 20031
20 195812

About Christine King

Christine King is a scholar working on Library and Information Sciences, Equine, Cognitive Neuroscience, Human-Computer Interaction and Cellular and Molecular Neuroscience, having authored 81 papers that have together received 3.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (22 papers), Muscle activation and electromyography studies (20 papers), Neuroscience and Neural Engineering (14 papers), Biomedical and Engineering Education (7 papers), Innovative Teaching Methods (4 papers), Stroke Rehabilitation and Recovery (3 papers), Engineering Education and Curriculum Development (3 papers) and Mobile Health and mHealth Applications (3 papers). The work is most often cited by research in Molecular Medicine (850 citations), Applied Microbiology and Biotechnology (208 citations), Pollution (897 citations), Cognitive Neuroscience (679 citations) and Cellular and Molecular Neuroscience (456 citations). Christine King has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Hendrik N. Poinar, Régis Debruyne, C. Schwarz, G. Brian Golding, Duane Froese, Grant D. Zazula, Lindsay Kalan, Wilson W. L. Sung, Gerard D. Wright and Mariya Morar. Their work appears in journals such as Journal of NeuroEngineering and Rehabilitation, Journal of Equine Veterinary Science, Journal of Neural Engineering, The Lancet and Clinical Infectious Diseases.

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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