Marion E. Smith

3.3k citations
87 papers · 3.0k · h-index 32

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 10
    • Peroxisome Proliferator-Activated Receptors 7
    • S100 Proteins and Annexins 6
    • Biochemical effects in animals 13

Marion E. Smith

87 papers receiving 2.8k citations

Peers

Marion E. Smith
Comparison fields: 5 of 118
  • Developmental Neuroscience 382
  • Neurology 632
  • Clinical Biochemistry 319
  • Cellular and Molecular Neuroscience 603
  • Biochemistry 212
Replace Wendy Cammer with:
Wendy Cammer United States
Shirley E. Poduslo United States
Eduardo F. Soto Argentina
Joyce A. Benjamins United States
Tadashi Kurihara Japan
Tatyana I. Gudz United States
Jeannette M. Dypbukt Sweden
Francesc X. Soriano Spain
Shobu Namura Japan
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Citations per field
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Citations per year

Countries citing papers authored by Marion E. Smith

Since Specialization
Citations

This map shows the geographic impact of Marion 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 Marion 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 Marion E. Smith more than expected).

Fields of papers citing papers by Marion E. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marion 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 Marion E. Smith Line = papers co-authored together Marion 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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1959178
2 1998145
3 1968138
4 1983120
5 1977107
6 1965105
7 200195
8 196982
9 199081
10 196780
11 197375
12 197374
13 197973
14 199973
15 195771
16 198967
17 198664
18 197156
19 197751
20 196949

About Marion E. Smith

Marion E. Smith is a scholar working on Molecular Biology, Physiology, Neurology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 87 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (13 papers), Biochemical effects in animals (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Glycosylation and Glycoproteins Research (10 papers), Metabolism and Genetic Disorders (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), S100 Proteins and Annexins (6 papers) and Hereditary Neurological Disorders (6 papers). The work is most often cited by research in Developmental Neuroscience (382 citations), Neurology (632 citations), Clinical Biochemistry (319 citations), Cellular and Molecular Neuroscience (603 citations) and Biochemistry (212 citations). Marion E. Smith has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Lawrence F. Eng, Henry W. Newman, Joyce A. Benjamins, David M. Greenberg, Lysia S. Forno, Jacqueline Trotter, Fernando D'Amelio, R. Fumagalli, F. A. Rawlins and William W. Hofmann. Their work appears in journals such as Journal of Neurochemistry, Neurochemical Research, Nature, Brain Research and Glia.

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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