June Sonnenberg‐Reines

768 total citations
8 papers, 362 citations indexed

About

June Sonnenberg‐Reines is a scholar working on Physiology, Molecular Biology and Oncology. According to data from OpenAlex, June Sonnenberg‐Reines has authored 8 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in June Sonnenberg‐Reines's work include Alzheimer's disease research and treatments (7 papers), Peptidase Inhibition and Analysis (2 papers) and Computational Drug Discovery Methods (2 papers). June Sonnenberg‐Reines is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Peptidase Inhibition and Analysis (2 papers) and Computational Drug Discovery Methods (2 papers). June Sonnenberg‐Reines collaborates with scholars based in United States, China and Canada. June Sonnenberg‐Reines's co-authors include J. Steven Jacobsen, Abraham M. Brown, Anthony F. Kreft, Robert Martone, Thomas A. Comery, Xiaohai Gong, Kevin Atchison, Hua Zhou, Menelas N. Pangalos and George Diamantidis and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Analytical Biochemistry.

In The Last Decade

June Sonnenberg‐Reines

8 papers receiving 353 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
June Sonnenberg‐Reines United States 7 259 131 125 85 74 8 362
Hedvig Welander Sweden 10 352 1.4× 191 1.5× 81 0.6× 94 1.1× 48 0.6× 13 465
Satoko Nishimura Japan 11 286 1.1× 188 1.4× 105 0.8× 107 1.3× 64 0.9× 17 514
Julie Paquette Canada 8 358 1.4× 148 1.1× 164 1.3× 73 0.9× 86 1.2× 10 541
Tatyana Melnikova United States 2 358 1.4× 151 1.2× 169 1.4× 106 1.2× 91 1.2× 4 450
Lisa R. Fodero Australia 8 205 0.8× 169 1.3× 127 1.0× 57 0.7× 50 0.7× 10 336
Megan Larson United States 4 317 1.2× 157 1.2× 69 0.6× 87 1.0× 68 0.9× 5 406
Debora Monteleone Italy 11 296 1.1× 185 1.4× 109 0.9× 57 0.7× 26 0.4× 12 487
Anca Alexandru Germany 3 368 1.4× 196 1.5× 82 0.7× 92 1.1× 75 1.0× 4 454
Ronit Shaltiel‐Karyo Israel 11 232 0.9× 213 1.6× 69 0.6× 94 1.1× 39 0.5× 14 491
JoAnne McLaurin Canada 7 332 1.3× 144 1.1× 134 1.1× 93 1.1× 75 1.0× 10 454

Countries citing papers authored by June Sonnenberg‐Reines

Since Specialization
Citations

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

Fields of papers citing papers by June Sonnenberg‐Reines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by June Sonnenberg‐Reines. 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 June Sonnenberg‐Reines. The network helps show where June Sonnenberg‐Reines may publish in the future.

Co-authorship network of co-authors of June Sonnenberg‐Reines

This figure shows the co-authorship network connecting the top 25 collaborators of June Sonnenberg‐Reines. A scholar is included among the top collaborators of June Sonnenberg‐Reines 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 June Sonnenberg‐Reines. June Sonnenberg‐Reines is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Comery, Thomas A., Robert Martone, Suzan Aschmies, et al.. (2005). Acute γ-Secretase Inhibition Improves Contextual Fear Conditioning in the Tg2576 Mouse Model of Alzheimer's Disease. Journal of Neuroscience. 25(39). 8898–8902. 176 indexed citations
2.
Fan, Kristi, Donna M. Huryn, J. Steven Jacobsen, et al.. (2005). Molecular-modeling based design, synthesis, and activity of substituted piperidines as γ-secretase inhibitors. Bioorganic & Medicinal Chemistry Letters. 15(7). 1891–1894. 12 indexed citations
3.
Zhang, Meiyi, Edward H. Kerns, Oliver J. McConnell, et al.. (2003). Brain and plasma exposure profiling in early drug discovery using cassette administration and fast liquid chromatography-tandem mass spectrometry. Journal of Pharmaceutical and Biomedical Analysis. 34(2). 359–368. 15 indexed citations
4.
Brown, Abraham M., et al.. (1998). Characterization of endogenous APP processing in a cell-free system. AGE. 21(1). 15–23. 1 indexed citations
5.
Brown, Abraham M., et al.. (1997). Selective Aggregation of Endogenous β‐Amyloid Peptide and Soluble Amyloid Precursor Protein in Cerebrospinal Fluid by Zinc. Journal of Neurochemistry. 69(3). 1204–1212. 47 indexed citations
6.
Brown, Abraham M., et al.. (1996). Evaluation of Cathepsins D and G and EC 3.4.24.15 as Candidate β‐Secretase Proteases Using Peptide and Amyloid Precursor Protein Substrates. Journal of Neurochemistry. 66(6). 2436–2445. 21 indexed citations
7.
Brown, Abraham M., et al.. (1994). Biotinylated and Cysteine-Modified Peptides as Useful Reagents for Studying the Inhibition of Cathepsin G. Analytical Biochemistry. 217(1). 139–147. 15 indexed citations
8.
Jacobsen, J. Steven, Abraham M. Brown, Sudhir Sahasrabudhe, et al.. (1994). The release of Alzheimer's disease beta amyloid peptide is reduced by phorbol treatment.. Journal of Biological Chemistry. 269(11). 8376–8382. 75 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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