Nicholas T. Seyfried

21.0k citations
216 papers · 9.1k indexed · 3 hit papers · h-index 54
Topics
Alzheimer's disease research and treatments (93 papers)Neuroinflammation and Neurodegeneration Mechanisms (33 papers)Bioinformatics and Genomic Networks (28 papers)

In The Last Decade

Nicholas T. Seyfried

199 papers receiving 9.0k citations

Hit Papers

Quantitative Proteomics Reveals the Function of Unconvent...2009202620142020200920172021250500750

Peers

Nicholas T. Seyfried
Comparison fields: 5 of 152
  • Molecular Biology 5.2k
  • Physiology 3.0k
  • Neurology 1.4k
  • Cell Biology 983
  • Cellular and Molecular Neuroscience 973
Replace Eric B. Dammer with:
Eric B. Dammer United States
Eric Karran United Kingdom
Deborah L. Croteau United States
Stefan F. Lichtenthaler Germany
Anja Schneider Germany
Claus U. Pietrzik Germany
Miguel Medina Spain
Steven Estus United States
Mark S. Kindy United States
Li Gan United States
Nicholas T. Seyfried relative to Eric B. Dammer United States Eric B. Dammer's profile →
Citations per field
00.5×1.7×
Eric B. Dammer · 1×
Citations per year

Countries citing papers authored by Nicholas T. Seyfried

Since Specialization
Citations

This map shows the geographic impact of Nicholas T. Seyfried'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 Nicholas T. Seyfried with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas T. Seyfried more than expected).

Fields of papers citing papers by Nicholas T. Seyfried

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas T. Seyfried. 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 Nicholas T. Seyfried. The network helps show where Nicholas T. Seyfried may publish in the future.

Co-authorship network of co-authors of Nicholas T. Seyfried

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas T. Seyfried. A scholar is included among the top collaborators of Nicholas T. Seyfried 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 Nicholas T. Seyfried. Nicholas T. Seyfried 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 9
2 1
3 25
4 2
5 1
6 1
7 8
8 37
9 3
10 23
11 16
12 24
13 97
14 37
15 98
16 14
17 100
18 18
19 128
20 28

About Nicholas T. Seyfried

Nicholas T. Seyfried is a scholar working on Biological Psychiatry, Neurology and Physiology, having authored 216 papers that have together received 9.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (93 papers), Neuroinflammation and Neurodegeneration Mechanisms (33 papers) and Bioinformatics and Genomic Networks (28 papers). The work is most often cited by research in Biological Psychiatry (509 citations), Neurology (1.4k citations) and Physiology (3.0k citations). Nicholas T. Seyfried has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Duc M. Duong, Allan I. Levey, Eric B. Dammer, James J. Lah, Marla Gearing, Junmin Peng, Dongmei Cheng, Ping Xu, A. John Rush and Madhav Thambisetty. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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