Celeste J. Brown

17.1k citations
93 papers · 13.3k indexed · 5 hit papers · h-index 46

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Machine Learning in Bioinformatics
    • RNA Research and Splicing
    • Genomics and Phylogenetic Studies
    • Bioinformatics and Genomic Networks
  • Microbiology top 0.5%

Papers in

Celeste J. Brown

93 papers receiving 13.1k citations

Hit Papers

Intrinsic Disorder in Cell-signaling and Cancer-associated Proteins 2002 · 989 citations
989200020262008201750010001.5k

Peers

Celeste J. Brown
Comparison fields: 5 of 165
  • Molecular Biology 10.1k
  • Microbiology 729
  • Molecular Medicine 370
  • Cell Biology 1.1k
  • Endocrinology 313
Replace Helen R. Saibil with:
Helen R. Saibil United Kingdom
Elisabeth Gasteiger Switzerland
Boštjan Kobe Australia
Lawrence A. Kelley United Kingdom
Jack Kyte United States
Michael Remmert Germany
István Simon Hungary
Nicolas Guex Switzerland
Nick V. Grishin United States
Rachel E. Klevit United States
Celeste J. Brown relative to Helen R. Saibil United Kingdom Helen R. Saibil's profile →
Citations per field
00.5×1.5×2.4×
Helen R. Saibil · 1×
Citations per year

Countries citing papers authored by Celeste J. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Celeste J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Celeste J. Brown, 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 Celeste J. Brown Line = papers co-authored together Celeste J. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202120
2 2019151
3 201912
4 201815
5 201780
6 201610
7 20162
8 201521
9 201515
10 20138
11 201367
12 2011221
13 201192
14 2009154
15 2004146
16 2004185
17 199414
18 199220
19 199226
20 19909

About Celeste J. Brown

Celeste J. Brown is a scholar working on Molecular Medicine, Microbiology, Molecular Biology, Ecology and Genetics, having authored 93 papers that have together received 13.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (24 papers), Genomics and Phylogenetic Studies (14 papers), RNA and protein synthesis mechanisms (14 papers), Bacteriophages and microbial interactions (14 papers), Enzyme Structure and Function (13 papers), Antibiotic Resistance in Bacteria (10 papers), Machine Learning in Bioinformatics (8 papers) and Alcohol Consumption and Health Effects (8 papers). The work is most often cited by research in Molecular Biology (10.1k citations), Microbiology (729 citations), Molecular Medicine (370 citations), Cell Biology (1.1k citations) and Endocrinology (313 citations). Celeste J. Brown has collaborated with scholars based in United States, Belgium and Russia. Frequent co-authors include Zoran Obradović, A. Keith Dunker, J. David Lawson, A. Keith Dunker, Ethan C. Garner, Lilia M. Iakoucheva, Pedro Romero, A. Keith Dunker, Slobodan Vučetić and Xiaohong Li. Their work appears in journals such as PLoS ONE, Applied and Environmental Microbiology, Biochemistry, Advances in experimental medicine and biology and Proteins Structure Function 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.

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