Christopher Hughes

1.3k citations
22 papers · 733 · 1 hit paper · h-index 10

Impact in

Papers in

Christopher Hughes

21 papers receiving 729 citations

Christopher Hughes's Hit Papers

A brain-computer interface that evokes tactile sensations improves robotic arm control 2021 · 354 citations
3540+1+3Years since publication100200300

Peers

Christopher Hughes
Comparison fields: 5 of 72
  • Cognitive Neuroscience 426
  • Cellular and Molecular Neuroscience 392
  • Hepatology 40
  • Transplantation 11
  • Neurology 30
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Paymon G. Rezaii United States
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Citations per year

Countries citing papers authored by Christopher Hughes

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Hughes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A brain-computer interface that evokes tactile sensations improves robotic arm control
Hit paper breakdown →
2021354
2 202160
3 202158
4 202152
5 202037
6 201635
7 201626
8 202322
9 202222
10 202317
11 20219
12 20229
13 20219
14 20256
15 20255
16 20175
17 20222
18 20212
19 20251
20
Biomimetic Intracortical Microstimulation of Human Somatosensory Cortex for a Bidirectional Brain-computer Interface
20211

About Christopher Hughes

Christopher Hughes is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Surgery, Hepatology and Biomedical Engineering, having authored 22 papers that have together received 733 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (10 papers), EEG and Brain-Computer Interfaces (9 papers), Organ Transplantation Techniques and Outcomes (7 papers), Muscle activation and electromyography studies (5 papers), Liver Disease and Transplantation (3 papers), Neural dynamics and brain function (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Renal Transplantation Outcomes and Treatments (2 papers). The work is most often cited by research in Cognitive Neuroscience (426 citations), Cellular and Molecular Neuroscience (392 citations), Hepatology (40 citations), Transplantation (11 citations) and Neurology (30 citations). Christopher Hughes has collaborated with scholars based in United States, Belgium and Australia. Frequent co-authors include Robert A. Gaunt, Jennifer L. Collinger, Sharlene N. Flesher, Michael L. Boninger, Jeffrey M. Weiss, Angelica J. Herrera, John E. Downey, Elizabeth C. Tyler‐Kabara, Takashi D.Y. Kozai and Abhinav Humar. Their work appears in journals such as Clinical Transplantation, American Journal of Transplantation, Journal of Neural Engineering, Brain stimulation and Frontiers in Bioengineering and Biotechnology.

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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