Tonya M. Gilbert

699 citations
14 papers · 382 · h-index 10

Impact in

    • Tryptophan and brain disorders
    • Epigenetics and DNA Methylation
    • Histone Deacetylase Inhibitors Research
    • Genomics and Chromatin Dynamics
    • Protein Degradation and Inhibitors
    • RNA modifications and cancer

Papers in

    • Histone Deacetylase Inhibitors Research 8
    • Genomics and Chromatin Dynamics 5
    • Epigenetics and DNA Methylation 3
    • Protein Degradation and Inhibitors 2
    • Amyotrophic Lateral Sclerosis Research 3

Tonya M. Gilbert

13 papers receiving 380 citations

Peers

Tonya M. Gilbert
Comparison fields: 5 of 68
  • Biological Psychiatry 37
  • Molecular Biology 301
  • Aging 5
  • Behavioral Neuroscience 10
  • Psychiatry and Mental health 24
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Tonya M. Gilbert relative to Kosuke Kajitani Japan Kosuke Kajitani's profile →
Citations per field
00.5×1.5×2.5×
Kosuke Kajitani · 1×
Citations per year

Countries citing papers authored by Tonya M. Gilbert

Since Specialization
Citations

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

Fields of papers citing papers by Tonya M. Gilbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tonya M. Gilbert. 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 Tonya M. Gilbert. The network helps show where Tonya M. Gilbert may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201679
2 201467
3 201447
4 201446
5 201635
6 202026
7 202025
8 202023
9 201722
10 20199
11 20241
12 20131
13 20251
14 20250

About Tonya M. Gilbert

Tonya M. Gilbert is a scholar working on Molecular Biology, Neurology, Oncology, Organic Chemistry and Pharmacology, having authored 14 papers that have together received 382 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (8 papers), Genomics and Chromatin Dynamics (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Epigenetics and DNA Methylation (3 papers), Peptidase Inhibition and Analysis (3 papers), Synthetic Organic Chemistry Methods (2 papers), Protein Degradation and Inhibitors (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Biological Psychiatry (37 citations), Molecular Biology (301 citations), Aging (5 citations), Behavioral Neuroscience (10 citations) and Psychiatry and Mental health (24 citations). Tonya M. Gilbert has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Jacob M. Hooker, Alan J. Tackett, Sean D. Taverna, Samuel G. Mackintosh, Nicole R. Zürcher, Anisha Bhanot, Hsiao‐Ying Wey, Frederick A. Schroeder, Ana Raman and Stephen J. Haggarty. Their work appears in journals such as ACS Chemical Neuroscience, Molecular & Cellular Proteomics, Journal of Pharmacology and Experimental Therapeutics, Muscle & Nerve and Science Translational Medicine.

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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