Samantha Michaelson

416 citations
8 papers · 348 indexed · h-index 6
Topics
Cholinesterase and Neurodegenerative Diseases (6 papers)Pesticide Exposure and Toxicity (5 papers)Alzheimer's disease research and treatments (3 papers)
Partner nations
Australia

In The Last Decade

Samantha Michaelson

8 papers receiving 334 citations

Peers

Samantha Michaelson
Comparison fields: 5 of 68
  • Pharmacology 203
  • Molecular Biology 174
  • Physiology 157
  • Computational Theory and Mathematics 112
  • Plant Science 48
Replace María Ximena Silveyra with:
María Ximena Silveyra Spain
Lisa R. Fodero Australia
Alain Anselmet France
Vicky P. Chen Hong Kong
Jacqueline Leroy France
Lenka Hromádková Czechia
Leonard N. Boggs United States
P.G. Pagella Italy
Mervi Vasänge Sweden
Ana Barat Spain
Samantha Michaelson relative to María Ximena Silveyra Spain María Ximena Silveyra's profile →
Citations per field
00.5×1.5×
María Ximena Silveyra · 1×
Citations per year

Countries citing papers authored by Samantha Michaelson

Since Specialization
Citations

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

Fields of papers citing papers by Samantha Michaelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samantha Michaelson

This figure shows the co-authorship network connecting the top 25 collaborators of Samantha Michaelson. A scholar is included among the top collaborators of Samantha Michaelson 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 Samantha Michaelson. Samantha Michaelson 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 16
2 158
3 3
4 9
5 14
6 69
7 76
8 3

About Samantha Michaelson

Samantha Michaelson is a scholar working on Pharmacology, Computational Theory and Mathematics and Plant Science, having authored 8 papers that have together received 348 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (6 papers), Pesticide Exposure and Toxicity (5 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Pharmacology (203 citations), Computational Theory and Mathematics (112 citations) and Physiology (157 citations). Samantha Michaelson has collaborated with scholars based in Australia. Frequent co-authors include David H. Small, Gian Sberna, Robert D. Moir, Konrad Beyreuther, DH Small, Denis Monard, CL Masters, Victor Nurcombe, Stephanie Fuller and Andreas Weidemann. Their work appears in journals such as Journal of Neuroscience, Biochemistry and Brain 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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