Shoshana Brown

3.9k citations
37 papers · 1.8k indexed · 1 hit paper · h-index 20
Topics
Protein Structure and Dynamics (14 papers)Enzyme Structure and Function (14 papers)Microbial Metabolic Engineering and Bioproduction (10 papers)

In The Last Decade

Shoshana Brown

37 papers receiving 1.8k citations

Hit Papers

Annotation Error in Public Databases: Misannotation of Mo...20092026201420202009100200300400

Peers

Shoshana Brown
Comparison fields: 5 of 109
  • Molecular Biology 1.4k
  • Materials Chemistry 371
  • Renewable Energy, Sustainability and the Environment 161
  • Pharmacology 154
  • Organic Chemistry 115
Replace Eyal Akiva with:
Eyal Akiva United States
Moshe Goldsmith Israel
T. Lundqvist Sweden
Denis Tritsch France
Claes von Wachenfeldt Sweden
Stefan Hecht Germany
B. Hillerich United States
Tobias Gräwert Germany
M.W. Vetting United States
P.T. Erskine United Kingdom
Shoshana Brown relative to Eyal Akiva United States Eyal Akiva's profile →
Citations per field
00.5×1.5×2.0×
Eyal Akiva · 1×
Citations per year

Countries citing papers authored by Shoshana Brown

Since Specialization
Citations

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

Fields of papers citing papers by Shoshana Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoshana Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Shoshana Brown. A scholar is included among the top collaborators of Shoshana 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 Shoshana Brown. Shoshana 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 97
3 55
4 24
5 49
6 23
7 5
8 189
9 113
10 74
11 45
12 42
13 24
14
Annotation Error in Public Databases: Misannotation of Molecular Function in Enzyme Superfamiliesbreakdown →
491
15 34
16 77
17 18
18 130
19 6
20 29

About Shoshana Brown

Shoshana Brown is a scholar working on Molecular Biology, Materials Chemistry and Biochemistry, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (14 papers), Enzyme Structure and Function (14 papers) and Microbial Metabolic Engineering and Bioproduction (10 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Biochemistry (92 citations) and Renewable Energy, Sustainability and the Environment (161 citations). Shoshana Brown has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Patricia C. Babbitt, Alexandra M. Schnoes, Igor Dodevski, Steven C. Almo, Elaine C. Meng, Matthew P. Jacobson, Thomas E. Ferrin, Sunil Ojha, Conrad C. Huang and Eyal Akiva. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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