Christopher P. Fall

1.9k citations
33 papers · 1.7k · h-index 19

Impact in

Papers in

    • Neural dynamics and brain function 5
    • Functional Brain Connectivity Studies 1
    • Parkinson's Disease Mechanisms and Treatments 3

Christopher P. Fall

32 papers receiving 1.6k citations

Peers

Christopher P. Fall
Comparison fields: 5 of 76
  • Neurology 339
  • Aging 9
  • Molecular Biology 369
  • Developmental Neuroscience 12
  • Cellular and Molecular Neuroscience 47
Replace Zhengbo Wang with:
Zhengbo Wang China
Elena Novelli Italy
Xiufang Guo United States
Richard J. Mead United Kingdom
Colin Molloy United Kingdom
Ersong Wang China
Tapan P. Patel United States
Michael Mäder Germany
Ghanim Ullah United States
Michael J. Hurley United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Christopher P. Fall

Since Specialization
Citations

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

Fields of papers citing papers by Christopher P. Fall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004310
2 1997240
3 1998172
4 2014134
5 1999116
6 200289
7 200383
8 201259
9 200151
10 200048
11 199944
12 201243
13 200834
14 201527
15 201324
16 200821
17 201020
18 199819
19 200619
20 200418

About Christopher P. Fall

Christopher P. Fall is a scholar working on Cognitive Neuroscience, Neurology, Biomedical Engineering, Molecular Biology and Biophysics, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (5 papers), Neural dynamics and brain function (5 papers), Mitochondrial Function and Pathology (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Gene Regulatory Network Analysis (2 papers), Ion channel regulation and function (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper) and Functional Brain Connectivity Studies (1 paper). The work is most often cited by research in Neurology (339 citations), Aging (9 citations), Molecular Biology (369 citations), Developmental Neuroscience (12 citations) and Cellular and Molecular Neuroscience (47 citations). Christopher P. Fall has collaborated with scholars based in United States, Egypt and Denmark. Frequent co-authors include James P. Bennett, John Wagner, Eric Marland, John J. Tyson, Trisha Spencer Smith, David Samuel Cassarino, John Rinzel, William Davis Parker, Russell Howard Swerdlow and David Eddington. Their work appears in journals such as Journal of Theoretical Biology, Journal of Visualized Experiments, PLoS ONE, Cell Calcium and Biochimica et Biophysica Acta (BBA) - Bioenergetics.

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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