Margaret E. Smith

7.4k citations
183 papers · 5.2k · h-index 41

Impact in

Papers in

Margaret E. Smith

180 papers receiving 4.9k citations

Peers

Margaret E. Smith
Comparison fields: 5 of 166
  • Endocrine and Autonomic Systems 268
  • Genetics 1.0k
  • Agronomy and Crop Science 291
  • Plant Science 1.1k
  • Physiology 561
Replace John P. Coghlan with:
John P. Coghlan Australia
Onno Bakker Netherlands
René J.M. Bindels Netherlands
Joost G.J. Hoenderop Netherlands
Balázs István Tóth Hungary
Christian Ramakers Netherlands
Wenli Tang China
Xiaobing Li China
Toshihiro Aono Japan
Robert G. Miller United States
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Citations per field
00.5×10×13×
John P. Coghlan · 1×
Citations per year

Countries citing papers authored by Margaret E. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Margaret E. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret E. Smith. 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 Margaret E. Smith. The network helps show where Margaret E. Smith may publish in the future.

Co-authors

The 25 scholars most cited alongside Margaret E. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Margaret E. Smith Line = papers co-authored together Margaret E. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981366
2 1973346
3 2007176
4 1981145
5 2005123
6 1977116
7 1989104
8 196798
9 198298
10 200289
11 199788
12 200485
13 198685
14 198985
15 199778
16 199372
17 198067
18 201366
19 201964
20 199863

About Margaret E. Smith

Margaret E. Smith is a scholar working on Plant Science, Molecular Biology, Physiology, Genetics and Cellular and Molecular Neuroscience, having authored 183 papers that have together received 5.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (19 papers), Adipose Tissue and Metabolism (17 papers), Genetics and Plant Breeding (16 papers), Cholinesterase and Neurodegenerative Diseases (14 papers), Ion channel regulation and function (12 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Neuropeptides and Animal Physiology (10 papers) and Regulation of Appetite and Obesity (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (268 citations), Genetics (1.0k citations), Agronomy and Crop Science (291 citations), Plant Science (1.1k citations) and Physiology (561 citations). Margaret E. Smith has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Carole R. Mendelson, Evan R. Simpson, Gerta Vrbov�, Gary E. Ackerman, Hans Walter Staudte, Dirk Pette, Paul C. MacDonald, J. Gethi, Laurence W. Haynes and Brian Sedgwick. Their work appears in journals such as Crop Science, Biochemical Society Transactions, Journal of Vascular Surgery, Endocrinology and Annals of Surgery.

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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