Nicholas G. Brown

3.3k citations
60 papers · 2.1k indexed · h-index 25
Topics
Ubiquitin and proteasome pathways (28 papers)Microtubule and mitosis dynamics (20 papers)Antibiotic Resistance in Bacteria (11 papers)

In The Last Decade

Nicholas G. Brown

57 papers receiving 2.0k citations

Peers

Nicholas G. Brown
Comparison fields: 5 of 94
  • Molecular Biology 1.6k
  • Cell Biology 671
  • Molecular Medicine 250
  • Oncology 248
  • Genetics 171
Replace Eilika Weber‐Ban with:
Eilika Weber‐Ban Switzerland
Marcelo C. Sousa United States
Christian Speck United Kingdom
J. N. Mark Glover Canada
Anton Meinhart Germany
Achim Dickmanns Germany
Julia M. Flynn United States
Sichen Shao United States
Joel R. Hoskins United States
James L. Keck United States
Nicholas G. Brown relative to Eilika Weber‐Ban Switzerland Eilika Weber‐Ban's profile →
Citations per field
00.5×1.6×
Eilika Weber‐Ban · 1×
Citations per year

Countries citing papers authored by Nicholas G. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas G. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas G. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas G. Brown. A scholar is included among the top collaborators of Nicholas G. Brown 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 G. Brown. Nicholas G. Brown 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 0
2 3
3 3
4 24
5 9
6 9
7 37
8 25
9 13
10 71
11 223
12 108
13 112
14 49
15 27
16 92
17 63
18 18
19 69
20 36

About Nicholas G. Brown

Nicholas G. Brown is a scholar working on Molecular Medicine, Structural Biology and Cell Biology, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (28 papers), Microtubule and mitosis dynamics (20 papers) and Antibiotic Resistance in Bacteria (11 papers). The work is most often cited by research in Molecular Medicine (250 citations), Cell Biology (671 citations) and Molecular Biology (1.6k citations). Nicholas G. Brown has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Brenda A. Schulman, Jan‐Michael Peters, Timothy Palzkill, Holger Stark, Ryan T. VanderLinden, Florian Weissmann, Georg Petzold, Edmond R. Watson, David Haselbach and Renping Qiao. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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