Kayla Marsh

664 citations
7 papers · 43 · h-index 4

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • CAR-T cell therapy research 1
    • Lung Cancer Research Studies 1
    • Cancer Genomics and Diagnostics 3

Kayla Marsh

7 papers receiving 43 citations

Peers

Kayla Marsh
Comparison fields: 5 of 20
  • Cancer Research 23
  • Oncology 22
  • Immunology 8
  • Hepatology 3
  • Ophthalmology 3
Replace Xiaohong R. Yang with:
Xiaohong R. Yang United States
Helle Kristine Skjerven Norway
M.A. Rookus Netherlands
Nicolas Wyhs United States
Beatriz Rojas Spain
Joseph McClanaghan United States
Misagh Karimi United States
Marta Casarrubios Spain
Joan Miguel Romero Canada
Thomas R Muley Germany
Kayla Marsh relative to Xiaohong R. Yang United States Xiaohong R. Yang's profile →
Citations per field
00.5×1.5×1.8×
Xiaohong R. Yang · 1×
Citations per year

Countries citing papers authored by Kayla Marsh

Since Specialization
Citations

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

Fields of papers citing papers by Kayla Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kayla Marsh. 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 Kayla Marsh. The network helps show where Kayla Marsh may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 202016
2 20239
3
Genomic representation of var gene sequences in Plasmodium falciparum field isolates from different geographic regions (vol 87, pg 235, 1997)
19988
4 20225
5 20182
6 19722
7 20191

About Kayla Marsh

Kayla Marsh is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Immunology, having authored 7 papers that have together received 43 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Single-cell and spatial transcriptomics (1 paper), CAR-T cell therapy research (1 paper), Lung Cancer Research Studies (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Ovarian cancer diagnosis and treatment (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Cancer Research (23 citations), Oncology (22 citations), Immunology (8 citations), Hepatology (3 citations) and Ophthalmology (3 citations). Kayla Marsh has collaborated with scholars based in Canada, United Kingdom and Australia. Frequent co-authors include S Kyes, Dax Torti, Chris Newbold, Trevor J. Pugh, Alister Craig, Hua Bao, Xue Wu, Eric Y. Stutheit-Zhao, Katherine Hyde and Ao Wang. Their work appears in journals such as Journal of Clinical Oncology, JNCI Cancer Spectrum, Annals of Oncology, Molecular and Biochemical Parasitology and The Lancet.

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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