Robyn D. Gartrell

2.7k citations
45 papers · 842 indexed · h-index 18

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Glioma Diagnosis and Treatment 13
    • Virus-based gene therapy research 6
    • Cancer Immunotherapy and Biomarkers 14
    • CAR-T cell therapy research 6
    • Cutaneous Melanoma Detection and Management 4

Robyn D. Gartrell

39 papers receiving 836 citations

Peers

Robyn D. Gartrell
Comparison fields: 5 of 77
  • Oncology 472
  • Immunology 297
  • Genetics 103
  • Cancer Research 90
  • Radiology, Nuclear Medicine and Imaging 116
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Citations per field
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Citations per year

Countries citing papers authored by Robyn D. Gartrell

Since Specialization
Citations

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

Fields of papers citing papers by Robyn D. Gartrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robyn D. Gartrell. 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 Robyn D. Gartrell. The network helps show where Robyn D. Gartrell may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 202414
5 20233
6 20234
7 20230
8 20234
9 202112
10 20212
11 202017
12 202020
13 201963
14 201926
15 201964
16 20182
17 201829
18 201632
19 201651
20 201527

About Robyn D. Gartrell

Robyn D. Gartrell is a scholar working on Genetics, Oncology, Immunology, Hepatology and Genetics, having authored 45 papers that have together received 842 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (14 papers), Glioma Diagnosis and Treatment (13 papers), Immunotherapy and Immune Responses (12 papers), Virus-based gene therapy research (6 papers), CAR-T cell therapy research (6 papers), Cutaneous Melanoma Detection and Management (4 papers), Nanoplatforms for cancer theranostics (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Oncology (472 citations), Immunology (297 citations), Genetics (103 citations), Cancer Research (90 citations) and Radiology, Nuclear Medicine and Imaging (116 citations). Robyn D. Gartrell has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Yvonne M. Saenger, Emanuelle M. Rizk, Thomas D. Hart, Bret Taback, Raúl Rabadán, Zoë Blake, Luke W. Barker, Andrew Chen, Douglas K. Marks and Adrian G. Sacher. Their work appears in journals such as Journal of Clinical Oncology, Journal for ImmunoTherapy of Cancer, Neuro-Oncology, International Journal of Radiation Oncology*Biology*Physics and Clinical 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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