Gabriela M. Wright

1.4k citations
21 papers · 1.2k · h-index 16

Impact in

  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions
    • Cancer-related Molecular Pathways
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Cancer-related Molecular Pathways 4
    • Immunotherapy and Immune Responses 4
    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 3

Gabriela M. Wright

19 papers receiving 1.1k citations

Peers

Gabriela M. Wright
Comparison fields: 5 of 84
  • Oncology 433
  • Immunology 275
  • Cancer Research 166
  • Molecular Biology 626
  • Pathology and Forensic Medicine 122
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Citations per field
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Citations per year

Countries citing papers authored by Gabriela M. Wright

Since Specialization
Citations

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

Fields of papers citing papers by Gabriela M. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005346
2 2011139
3 201683
4 200679
5 201379
6 200161
7 201761
8 201150
9 199949
10 201348
11 201034
12 202324
13 201621
14 201020
15 202019
16 202116
17 198911
18 20197
19 20214
20 20111

About Gabriela M. Wright

Gabriela M. Wright is a scholar working on Oncology, Immunology, Hematology, Molecular Biology and Pathology and Forensic Medicine, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (4 papers), Protein Degradation and Inhibitors (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Multiple Myeloma Research and Treatments (3 papers), Cancer Mechanisms and Therapy (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Oncology (433 citations), Immunology (275 citations), Cancer Research (166 citations), Molecular Biology (626 citations) and Pathology and Forensic Medicine (122 citations). Gabriela M. Wright has collaborated with scholars based in United States, Puerto Rico and China. Frequent co-authors include Kenneth L. Wright, William Douglas Cress, Yihong Ma, Rosalyn Irby, Guilian Niu, Richard Jove, Hua Yu, James G. Karras, Jiangdong Chen and Mei Huang. Their work appears in journals such as Journal of Biological Chemistry, ACS Chemical Biology, PLoS ONE, Cancer Research and JCI Insight.

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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