Shoshana Brown

3.9k total citations · 1 hit paper
37 papers, 1.8k citations indexed

About

Shoshana Brown is a scholar working on Molecular Biology, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Shoshana Brown has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 14 papers in Materials Chemistry and 7 papers in Organic Chemistry. Recurrent topics in Shoshana Brown's work include Protein Structure and Dynamics (14 papers), Enzyme Structure and Function (14 papers) and Microbial Metabolic Engineering and Bioproduction (10 papers). Shoshana Brown is often cited by papers focused on Protein Structure and Dynamics (14 papers), Enzyme Structure and Function (14 papers) and Microbial Metabolic Engineering and Bioproduction (10 papers). Shoshana Brown collaborates with scholars based in United States, Israel and Canada. Shoshana Brown's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Shoshana Brown

37 papers receiving 1.8k citations

Hit Papers

Annotation Error in Public Databases: Misannotation of Mo... 2009 2026 2014 2020 2009 100 200 300 400

Peers

Shoshana Brown
Eyal Akiva United States
B. Hillerich United States
Hugues Ouellet United States
J.J. Truglio United States
K.L. Whalen United States
Klaus Kis Germany
Eyal Akiva United States
Shoshana Brown
Citations per year, relative to Shoshana Brown Shoshana Brown (= 1×) peers Eyal Akiva

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
1.
Holliday, Gemma L., et al.. (2020). A strategy for large-scale comparison of evolutionary- and reaction-based classifications of enzyme function. Database. 2020. 5 indexed citations
2.
Holliday, Gemma L., Eyal Akiva, Elaine C. Meng, et al.. (2018). Atlas of the Radical SAM Superfamily: Divergent Evolution of Function Using a “Plug and Play” Domain. Methods in enzymology on CD-ROM/Methods in enzymology. 606. 1–71. 97 indexed citations
3.
Kumar, Santosh, Chase F. Kempinski, Xun Zhuang, et al.. (2016). Molecular Diversity of Terpene Synthases in the Liverwort Marchantia polymorpha. The Plant Cell. 28(10). tpc.00062.2016–tpc.00062.2016. 55 indexed citations
4.
Kim, Jungwook, Hui Xiao, Yikai Wang, et al.. (2015). Determinants of the CmoB carboxymethyl transferase utilized for selective tRNA wobble modification. Nucleic Acids Research. 43(9). 4602–4613. 24 indexed citations
5.
Brown, Shoshana & Patricia C. Babbitt. (2014). New Insights about Enzyme Evolution from Large Scale Studies of Sequence and Structure Relationships. Journal of Biological Chemistry. 289(44). 30221–30228. 49 indexed citations
6.
London, Nir, Jeremiah D. Farelli, Shoshana Brown, et al.. (2014). Covalent Docking Predicts Substrates for Haloalkanoate Dehalogenase Superfamily Phosphatases. Biochemistry. 54(2). 528–537. 23 indexed citations
7.
Brown, Shoshana & Patricia C. Babbitt. (2014). Using the Structure‐Function Linkage Database to Characterize Functional Domains in Enzymes. Current Protocols in Bioinformatics. 48(1). 5 indexed citations
8.
Akiva, Eyal, Shoshana Brown, Daniel E. Almonacid, et al.. (2013). The Structure–Function Linkage Database. Nucleic Acids Research. 42(D1). D521–D530. 189 indexed citations
9.
Zhao, Suwen, Ritesh Kumar, A. Sakai, et al.. (2013). Discovery of new enzymes and metabolic pathways by using structure and genome context. Nature. 502(7473). 698–702. 113 indexed citations
10.
Kim, Jungwook, Hui Xiao, J.B. Bonanno, et al.. (2013). Structure-guided discovery of the metabolite carboxy-SAM that modulates tRNA function. Nature. 498(7452). 123–126. 74 indexed citations
11.
Lukk, Tiit, A. Sakai, Chakrapani Kalyanaraman, et al.. (2012). Homology models guide discovery of diverse enzyme specificities among dipeptide epimerases in the enolase superfamily. Proceedings of the National Academy of Sciences. 109(11). 4122–4127. 45 indexed citations
12.
Brown, Shoshana & Patricia C. Babbitt. (2011). Inference of Functional Properties from Large-scale Analysis of Enzyme Superfamilies. Journal of Biological Chemistry. 287(1). 35–42. 42 indexed citations
13.
Pieper, Ursula, Ranyee A. Chiang, Shoshana Brown, et al.. (2009). Target selection and annotation for the structural genomics of the amidohydrolase and enolase superfamilies. Journal of Structural and Functional Genomics. 10(2). 107–125. 24 indexed citations
14.
Schnoes, Alexandra M., Shoshana Brown, Igor Dodevski, & Patricia C. Babbitt. (2009). Annotation Error in Public Databases: Misannotation of Molecular Function in Enzyme Superfamilies. PLoS Computational Biology. 5(12). e1000605–e1000605. 491 indexed citations breakdown →
15.
Sakai, A., А.А. Федоров, E.V. Fedorov, et al.. (2009). Evolution of Enzymatic Activities in the Enolase Superfamily: Stereochemically Distinct Mechanisms in Two Families of cis,cis-Muconate Lactonizing Enzymes. Biochemistry. 48(7). 1445–1453. 34 indexed citations
16.
Song, Ling, Chakrapani Kalyanaraman, А.А. Федоров, et al.. (2007). Prediction and assignment of function for a divergent N-succinyl amino acid racemase. Nature Chemical Biology. 3(8). 486–491. 77 indexed citations
17.
Brown, Shoshana, А.А. Федоров, E.V. Fedorov, et al.. (2007). Structural Diversity within the Mononuclear and Binuclear Active Sites of N-Acetyl-d-glucosamine-6-phosphate Deacetylase,. Biochemistry. 46(27). 7953–7962. 18 indexed citations
18.
Pegg, Scott C.‐H., Shoshana Brown, Sunil Ojha, et al.. (2006). Leveraging Enzyme Structure−Function Relationships for Functional Inference and Experimental Design:  The Structure−Function Linkage Database. Biochemistry. 45(8). 2545–2555. 130 indexed citations
19.
Brown, Shoshana & Patricia C. Babbitt. (2006). Using the Structure‐Function Linkage Database to Characterize Functional Domains in Enzymes. Current Protocols in Bioinformatics. 13(1). 2.10.1–2.10.16. 6 indexed citations
20.
Brown, Shoshana, Jean L. Chang, Wolfgang Sadée, & Patricia C. Babbitt. (2003). A semiautomated approach to gene discovery through expressed sequence tag data mining: Discovery of new human transporter genes. PubMed. 5(1). 1–18. 29 indexed citations

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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