John C. King

1.8k citations
59 papers · 1.2k indexed · h-index 19

Impact in

Papers in

John C. King

56 papers receiving 1.1k citations

Peers

John C. King
Comparison fields: 5 of 142
  • Atmospheric Science 300
  • Global and Planetary Change 284
  • Ecological Modeling 49
  • Cellular and Molecular Neuroscience 172
  • Nature and Landscape Conservation 92
Replace Hiromi Watanabe with:
Hiromi Watanabe Japan
Fernándo Álvarez Spain
Alexander Fraser Australia
Lee R. Berger South Africa
Frédéric Bailleul France
Aaron N. Rice United States
Jennifer Williamson United Kingdom
Richard A. Fischer United States
Matthieu Authier France
Jean‐Benoit Charrassin France
John C. King relative to Hiromi Watanabe Japan Hiromi Watanabe's profile →
Citations per field
00.5×4.5×
Hiromi Watanabe · 1×
Citations per year

Countries citing papers authored by John C. King

Since Specialization
Citations

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

Fields of papers citing papers by John C. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004113
2 2009110
3 202093
4 199472
5 199771
6 200656
7 200350
8 199147
9 199438
10 199435
11 199329
12 201429
13 201027
14 200226
15 199926
16 201823
17 201922
18 199721
19 199720
20 199718

About John C. King

John C. King is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Atmospheric Science, Cognitive Neuroscience and Global and Planetary Change, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (14 papers), Muscle activation and electromyography studies (13 papers), Tree-ring climate responses (10 papers), Plant Water Relations and Carbon Dynamics (10 papers), Musculoskeletal pain and rehabilitation (6 papers), EEG and Brain-Computer Interfaces (6 papers), Geology and Paleoclimatology Research (5 papers) and earthquake and tectonic studies (3 papers). The work is most often cited by research in Atmospheric Science (300 citations), Global and Planetary Change (284 citations), Ecological Modeling (49 citations), Cellular and Molecular Neuroscience (172 citations) and Nature and Landscape Conservation (92 citations). John C. King has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Daniel Dumitru, Constance I. Millar, Robert D. Westfall, Diane L. Delany, Lisa J. Graumlich, Dick F. Stegeman, Olga Martin‐Ortega, Julie Mertus, Sanjeev D. Nandedkar and Chandra Lekha Sriram. Their work appears in journals such as Muscle & Nerve, American Journal of Physical Medicine & Rehabilitation, Archives of Physical Medicine and Rehabilitation, Quaternary Research and Geophysical Research Letters.

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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