Steven D. Brown

17.0k citations
249 papers · 11.8k indexed · 3 hit papers · h-index 60
Topics
Biofuel production and bioconversion (60 papers)Microbial Metabolic Engineering and Bioproduction (45 papers)Genomics and Phylogenetic Studies (33 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Steven D. Brown

246 papers receiving 11.4k citations

Hit Papers

The Genetic Basis for Bacterial Mercury Methylation2013202620172021201320132015250500750

Peers

Steven D. Brown
Comparison fields: 5 of 176
  • Molecular Biology 3.7k
  • Health, Toxicology and Mutagenesis 2.6k
  • Biomedical Engineering 2.4k
  • Epidemiology 2.0k
  • Infectious Diseases 2.0k
Replace James A. Imlay with:
James A. Imlay United States
Raymond J. Turner Canada
Manuel Simões Portugal
Michael J. Sadowsky United States
Jost Wingender Germany
Hauke Smidt Netherlands
Lars Hestbjerg Hansen Denmark
Roderick I. Mackie United States
Benli Chai United States
Eric P. Skaar United States
Steven D. Brown relative to James A. Imlay United States James A. Imlay's profile →
Citations per field
00.5×1.5×2.0×
James A. Imlay · 1×
Citations per year

Countries citing papers authored by Steven D. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Steven D. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven D. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Steven D. Brown. A scholar is included among the top collaborators of Steven D. 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 Steven D. Brown. Steven D. 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 5
2 1
3 10
4 52
5 0
6 15
7 49
8 84
9 22
10 33
11 124
12 39
13 3
14 9
15
The Genetic Basis for Bacterial Mercury Methylationbreakdown →
778
16 63
17 9
18 93
19 146
20
Investigation of phagocytes in disease
11

About Steven D. Brown

Steven D. Brown is a scholar working on Molecular Medicine, Microbiology and Infectious Diseases, having authored 249 papers that have together received 11.8k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (60 papers), Microbial Metabolic Engineering and Bioproduction (45 papers) and Genomics and Phylogenetic Studies (33 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.6k citations), Molecular Medicine (749 citations) and Infectious Diseases (2.0k citations). Steven D. Brown has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Peter Fuchs, Dwayne A. Elias, A L Barry, Arthur L. Barry, Mircea Podar, Anthony V. Palumbo, Maria M. Traczewski, Cynthia C. Gilmour, Richard A. Hurt and Dawn M. Klingeman. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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