Emily Labriola–Tompkins

519 citations
10 papers · 277 indexed · h-index 6
    • Immune Response and Inflammation 3
    • Multiple Myeloma Research and Treatments 3
    • HIV Research and Treatment 2
    • CAR-T cell therapy research 2
    • Protein Degradation and Inhibitors 4
    • Ubiquitin and proteasome pathways 2
    • HIV/AIDS Research and Interventions 2
    • HIV/AIDS drug development and treatment 2

Emily Labriola–Tompkins

10 papers receiving 262 citations

Peers

Emily Labriola–Tompkins
Comparison fields: 5 of 50
  • Immunology 118
  • Hematology 45
  • Virology 11
  • Oncology 59
  • Molecular Biology 146
Replace Émilie Jacque with:
Émilie Jacque France
James Berenson United States
Floriana Cremasco Switzerland
S G Shoemaker United States
Giuseppe Consogno Italy
Marjorie A. Shapiro United States
Risa Miyashita Japan
Tariq Daouda Canada
Johan Fransson Sweden
Katrin M. Baltz Germany
Emily Labriola–Tompkins relative to Émilie Jacque France Émilie Jacque's profile →
Citations per field
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Citations per year

Countries citing papers authored by Emily Labriola–Tompkins

Since Specialization
Citations

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

Fields of papers citing papers by Emily Labriola–Tompkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily Labriola–Tompkins. 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 Emily Labriola–Tompkins. The network helps show where Emily Labriola–Tompkins may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Emily Labriola–Tompkins, 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 Emily Labriola–Tompkins Line = papers co-authored together Emily Labriola–Tompkins links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20231
2 202129
3 20212
4 202083
5 20191
6 20084
7 200810
8 199323
9 199161
10 199163

About Emily Labriola–Tompkins

Emily Labriola–Tompkins is a scholar working on Virology, Hematology and Genetics, having authored 10 papers that have together received 277 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (4 papers), Immune Response and Inflammation (3 papers), Multiple Myeloma Research and Treatments (3 papers), HIV Research and Treatment (2 papers), HIV/AIDS Research and Interventions (2 papers), CAR-T cell therapy research (2 papers), Ubiquitin and proteasome pathways (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Immunology (118 citations), Hematology (45 citations) and Virology (11 citations). Emily Labriola–Tompkins has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include K L Kaffka, P L Kilian, Jennifer L. Karas, Vincent Madison, G Ju, Mark DeMario, Carolyn A. Campen, Ju Gao, Marcos Hatada and Stephen P. Eisenberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and Cancer 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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