Michelle A. Uberti

954 citations
19 papers · 797 · h-index 14

Impact in

    • Neuropeptides and Animal Physiology
    • Neuroscience and Neuropharmacology Research
    • Neurobiology and Insect Physiology Research
    • Photoreceptor and optogenetics research
    • Olfactory and Sensory Function Studies

Papers in

Michelle A. Uberti

19 papers receiving 774 citations

Peers

Michelle A. Uberti
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 509
  • Sensory Systems 73
  • Nutrition and Dietetics 126
  • Molecular Biology 552
  • Physiology 23
Replace Subramaniam Apparsundaram with:
Subramaniam Apparsundaram United States
Béatrice Duthey France
Carl Rios United States
I Zimányi United States
Teddy Grand France
P.F.M. Janssen Belgium
Siegfried Wurster Finland
Yu‐Fung Lin United States
Fanny Malhaire France
M Wollemann Hungary
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Citations per field
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Subramaniam Apparsundaram · 1×
Citations per year

Countries citing papers authored by Michelle A. Uberti

Since Specialization
Citations

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

Fields of papers citing papers by Michelle A. Uberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle A. Uberti. 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 Michelle A. Uberti. The network helps show where Michelle A. Uberti may publish in the future.

Co-authors

The 25 scholars most cited alongside Michelle A. Uberti, 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 Michelle A. Uberti Line = papers co-authored together Michelle A. Uberti links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2004134
2 2005112
3 200496
4 200378
5 201272
6 200250
7 200344
8 201238
9 200332
10 201129
11 199426
12 201218
13 201216
14 201013
15 200810
16 20139
17 19959
18 20117
19 20034

About Michelle A. Uberti

Michelle A. Uberti is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Nutrition and Dietetics, Organic Chemistry and Rheumatology, having authored 19 papers that have together received 797 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Neuropeptides and Animal Physiology (6 papers), Biochemical Analysis and Sensing Techniques (5 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Folate and B Vitamins Research (1 paper), Gestational Diabetes Research and Management (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (509 citations), Sensory Systems (73 citations), Nutrition and Dietetics (126 citations), Molecular Biology (552 citations) and Physiology (23 citations). Michelle A. Uberti has collaborated with scholars based in United States, Denmark and Poland. Frequent co-authors include Kenneth P. Minneman, Randy A. Hall, Chris Hague, Zhongjian Chen, Darı́o Doller, André Sampaio Pupo, Kerry J. Ressler, Anna Robeva, George A. Rogge and Aleksandra Vicentic. Their work appears in journals such as Neuropharmacology, Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics, Journal of Medicinal Chemistry and Assay and Drug Development Technologies.

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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