Philip N. McFadden

939 citations
29 papers · 794 indexed · h-index 15
Topics
Enzyme Structure and Function (6 papers)Protein Structure and Dynamics (4 papers)Neuroscience and Neuropharmacology Research (4 papers)
Partner nations
United StatesIsrael

In The Last Decade

Philip N. McFadden

29 papers receiving 752 citations

Peers

Philip N. McFadden
Comparison fields: 5 of 90
  • Molecular Biology 574
  • Materials Chemistry 147
  • Biochemistry 94
  • Cell Biology 86
  • Physiology 83
Replace Roy A. Johanson with:
Roy A. Johanson United States
Tania Massignan Italy
Annalisa Fico Italy
A. Nagata Japan
Francesca Forner Germany
Heeyong Yoon United States
Robert B. Denman United States
A. Ishaque Canada
Dariusz Rakus Poland
Philip N. McFadden relative to Roy A. Johanson United States Roy A. Johanson's profile →
Citations per field
00.5×
Roy A. Johanson · 1×
Citations per year

Countries citing papers authored by Philip N. McFadden

Since Specialization
Citations

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

Fields of papers citing papers by Philip N. McFadden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip N. McFadden. 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 Philip N. McFadden. The network helps show where Philip N. McFadden may publish in the future.

Co-authorship network of co-authors of Philip N. McFadden

This figure shows the co-authorship network connecting the top 25 collaborators of Philip N. McFadden. A scholar is included among the top collaborators of Philip N. McFadden based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip N. McFadden. Philip N. McFadden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 16
3 5
4 25
5 11
6 24
7 17
8 16
9 45
10 10
11 1
12 2
13 5
14 8
15 4
16 10
17 16
18 2
19 1
20 58

About Philip N. McFadden

Philip N. McFadden is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Biophysics, having authored 29 papers that have together received 794 indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Protein Structure and Dynamics (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Biochemistry (94 citations), Molecular Biology (574 citations) and Clinical Biochemistry (36 citations). Philip N. McFadden has collaborated with scholars based in United States and Israel. Frequent co-authors include Steven Clarke, Daniel E. Koshland, Jonathan A. Lindquist, Clare M. O’Connor, Ron M. Kagan, Rosalyn H. Upson, Byron Caughey, Joseph Horwitz, Darrick Carter and Frank Chaplen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

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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