June Sonnenberg‐Reines

768 citations
8 papers · 362 indexed · h-index 7
Topics
Alzheimer's disease research and treatments (7 papers)Peptidase Inhibition and Analysis (2 papers)Computational Drug Discovery Methods (2 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

June Sonnenberg‐Reines

8 papers receiving 353 citations

Peers

June Sonnenberg‐Reines
Comparison fields: 5 of 66
  • Physiology 259
  • Molecular Biology 131
  • Pharmacology 125
  • Cellular and Molecular Neuroscience 85
  • Computational Theory and Mathematics 74
Replace JoAnne McLaurin with:
JoAnne McLaurin Canada
Yuan-Wen Ge United States
Hedvig Welander Sweden
Julie Paquette Canada
Satoko Nishimura Japan
Tatyana Melnikova United States
Lenka Hromádková Czechia
Megan Larson United States
Jennifer L. Tomic United States
Valerie Guss United States
June Sonnenberg‐Reines relative to JoAnne McLaurin Canada JoAnne McLaurin's profile →
Citations per field
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Citations per year

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
#WorkIndexed citations
1 176
2 12
3 15
4 1
5 47
6 21
7 15
8 75

About June Sonnenberg‐Reines

June Sonnenberg‐Reines is a scholar working on Physiology, Computational Theory and Mathematics and Pharmacology, having authored 8 papers that have together received 362 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Peptidase Inhibition and Analysis (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Physiology (259 citations), Pharmacology (125 citations) and Biological Psychiatry (18 citations). June Sonnenberg‐Reines has collaborated with scholars based in United States, China and Canada. Frequent co-authors include J. Steven Jacobsen, Abraham M. Brown, Anthony F. Kreft, Robert Martone, Xiaohai Gong, Thomas A. Comery, Kevin Atchison, Hua Zhou, Karen L. Marquis and Suzan Aschmies. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and Analytical Biochemistry.

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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