Christopher P. Fall

2.0k citations
31 papers · 1.5k indexed · h-index 19

Impact in

Papers in

Christopher P. Fall

31 papers receiving 1.5k citations

Peers

Christopher P. Fall
Comparison fields: 5 of 120
  • Cellular and Molecular Neuroscience 525
  • Neurology 287
  • Molecular Biology 821
  • Neurology 85
  • Cognitive Neuroscience 168
Replace Teja W. Groemer with:
Teja W. Groemer Germany
Christian Lee United States
Roderick V. Jensen United States
John Corradi United States
Alexandre Kuhn Switzerland
Andrew F. Teich United States
Linda R. Mills Canada
Alexander O. Tarakanov Russia
Ghanim Ullah United States
Wenhua Zhang China
Christopher P. Fall relative to Teja W. Groemer Germany Teja W. Groemer's profile →
Citations per field
00.5×1.5×
Teja W. Groemer · 1×
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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004279
2 1997231
3 1998166
4 2014127
5 1999113
6 200284
7 200379
8 201252
9 200149
10 199944
11 200043
12 201240
13 200834
14 201526
15 201323
16 200620
17 199819
18 201019
19 200418
20 200818

About Christopher P. Fall

Christopher P. Fall is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Reproductive Medicine and Molecular Biology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Mitochondrial Function and Pathology (9 papers), Neuroscience and Neural Engineering (7 papers), Neural dynamics and brain function (7 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), 3D Printing in Biomedical Research (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (525 citations), Neurology (287 citations), Molecular Biology (821 citations), Neurology (85 citations) and Cognitive Neuroscience (168 citations). Christopher P. Fall has collaborated with scholars based in United States, Canada and Egypt. Frequent co-authors include James P. Bennett, John Wagner, Eric Marland, John J. Tyson, David S. Cassarino, Trisha S. Smith, John Rinzel, W. Davis Parker, Russell H. Swerdlow and David Eddington. Their work appears in journals such as Journal of Theoretical Biology, Cell Calcium, Journal of Visualized Experiments, PLoS ONE and Biomedical Microdevices.

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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