Charles R. Buck

5.7k citations
29 papers · 4.0k indexed · 2 hit papers · h-index 18
Topics
Advanced Proteomics Techniques and Applications (7 papers)Metabolomics and Mass Spectrometry Studies (4 papers)Nerve injury and regeneration (4 papers)

In The Last Decade

Charles R. Buck

28 papers receiving 3.9k citations

Hit Papers

NeuN, a neuronal specific nuclear protein in vertebratesxs19922026200320141992200650010001.5k2.0k

Peers

Charles R. Buck
Comparison fields: 5 of 154
  • Molecular Biology 1.9k
  • Cellular and Molecular Neuroscience 1.3k
  • Developmental Neuroscience 971
  • Cancer Research 753
  • Neurology 481
Replace Kohji Sato with:
Kohji Sato Japan
Yan Gu China
Jialing Liu United States
Chul Hoon Kim South Korea
Jeffrey S. Nye United States
Marika Kiessling Germany
Yasuki Ishizaki Japan
H. Ronald Zielke United States
Masayuki Sakamoto Japan
Joan P. Schwartz United States
Charles R. Buck relative to Kohji Sato Japan Kohji Sato's profile →
Citations per field
00.5×2.8×
Kohji Sato · 1×
Citations per year

Countries citing papers authored by Charles R. Buck

Since Specialization
Citations

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

Fields of papers citing papers by Charles R. Buck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles R. Buck. 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 Charles R. Buck. The network helps show where Charles R. Buck may publish in the future.

Co-authorship network of co-authors of Charles R. Buck

This figure shows the co-authorship network connecting the top 25 collaborators of Charles R. Buck. A scholar is included among the top collaborators of Charles R. Buck 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 Charles R. Buck. Charles R. Buck 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 14
2
The Proteome Discovery Pipeline - A Data Analysis Pipeline for Mass Spectrometry-Based Differential Proteomics Discovery
8
3 137
4 13
5 10
6 49
7 17
8 84
9 52
10 83
11 23
12 22
13 25
14 73
15 83
16 4
17 2
18 7
19 4
20 0

About Charles R. Buck

Charles R. Buck is a scholar working on Developmental Neuroscience, Theoretical Computer Science and Medical Laboratory Technology, having authored 29 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Nerve injury and regeneration (4 papers). The work is most often cited by research in Developmental Neuroscience (971 citations), Cellular and Molecular Neuroscience (1.3k citations) and Neurology (481 citations). Charles R. Buck has collaborated with scholars based in United States, Austria and Russia. Frequent co-authors include Alan M. Smith, Richard J. Mullen, Robert J. McKeon, Michael J. Jurynec, Kurt Zatloukal, Katrin Panzitt, Martin Stradner, Christian Guelly, Renée Schroeder and Tarek Moustafa. Their work appears in journals such as New England Journal of Medicine, Journal of Neuroscience and Bioinformatics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026