Una Moran

1.3k citations
34 papers · 637 indexed · h-index 13

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Cutaneous Melanoma Detection and Management
    • CAR-T cell therapy research
    • Immunotherapy and Immune Responses

Papers in

    • Cancer Immunotherapy and Biomarkers 17
    • Cutaneous Melanoma Detection and Management 15
    • CAR-T cell therapy research 5
    • Cancer Genomics and Diagnostics 6

Una Moran

32 papers receiving 634 citations

Peers

Una Moran
Comparison fields: 5 of 76
  • Oncology 459
  • Immunology 145
  • Biological Psychiatry 12
  • Cancer Research 70
  • Molecular Biology 310
Replace Shannon Telesco with:
Shannon Telesco United States
Enrica T. Tanda Italy
Stephanie G. Craig United Kingdom
Jeff Wiser United States
Andrea Boutros Italy
Noam Auslander United States
Benjamin Weide Germany
Theresa Medina United States
Lilit Karapetyan United States
Jason Reeves United States
Una Moran relative to Shannon Telesco United States Shannon Telesco's profile →
Citations per field
00.5×1.7×
Shannon Telesco · 1×
Citations per year

Countries citing papers authored by Una Moran

Since Specialization
Citations

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

Fields of papers citing papers by Una Moran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 202127
3 202151
4 202028
5 20201
6 202015
7 202020
8 2019159
9 20195
10 201936
11 20194
12 201897
13 201811
14 20181
15 20181
16 20181
17 201817
18 20175
19 20170
20 201713

About Una Moran

Una Moran is a scholar working on Oncology, Cancer Research, Immunology, Biophysics and Molecular Biology, having authored 34 papers that have together received 637 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (17 papers), Cutaneous Melanoma Detection and Management (15 papers), Melanoma and MAPK Pathways (10 papers), vaccines and immunoinformatics approaches (7 papers), Immunotherapy and Immune Responses (7 papers), Cancer Genomics and Diagnostics (6 papers), CAR-T cell therapy research (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Oncology (459 citations), Immunology (145 citations), Biological Psychiatry (12 citations), Cancer Research (70 citations) and Molecular Biology (310 citations). Una Moran has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Iman Osman, Anna C. Pavlick, Jeffrey S. Weber, Melissa Wilson, Jiyoung Ahn, Judy Zhong, Todd Wechter, Allison Izsak, Brandilyn A. Peters and Tomas Kirchhoff. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute, Annals of Oncology, Journal of Translational Medicine and Melanoma 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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