Maria Davern

708 citations
36 papers · 476 · h-index 11

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Cancer Immunotherapy and Biomarkers 23
    • Esophageal Cancer Research and Treatment 17

Maria Davern

35 papers receiving 473 citations

Peers

Maria Davern
Comparison fields: 5 of 69
  • Oncology 219
  • Immunology 157
  • Cancer Research 110
  • Pulmonary and Respiratory Medicine 106
  • Surgery 129
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Bo Ni China
Tang Qing China
Lei Cheng China
Pei-Qi Huang China
Chengkun Qin China
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Hidetaka Sugihara Japan
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Maria Davern relative to Bo Ni China Bo Ni's profile →
Citations per field
00.5×1.5×2.4×
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Citations per year

Countries citing papers authored by Maria Davern

Since Specialization
Citations

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

Fields of papers citing papers by Maria Davern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020145
2 202051
3 202340
4 202127
5 202222
6 202117
7 202015
8 202215
9 202214
10 202112
11 202110
12 202110
13 20219
14 20228
15 20228
16 20208
17 20198
18 20227
19 20226
20 20226

About Maria Davern

Maria Davern is a scholar working on Oncology, Surgery, Immunology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 36 papers that have together received 476 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (23 papers), Esophageal Cancer Research and Treatment (17 papers), Immune cells in cancer (11 papers), Immune Cell Function and Interaction (6 papers), Lung Cancer Diagnosis and Treatment (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Immunotherapy and Immune Responses (4 papers) and Gastric Cancer Management and Outcomes (4 papers). The work is most often cited by research in Oncology (219 citations), Immunology (157 citations), Cancer Research (110 citations), Pulmonary and Respiratory Medicine (106 citations) and Surgery (129 citations). Maria Davern has collaborated with scholars based in Ireland, Canada and United States. Frequent co-authors include Noel E. Donlon, Conall Hayes, Joanne Lysaght, Claire L. Donohoe, John V. Reynolds, Brendan Moran, Margaret R. Dunne, Robert Power, Narayanasamy Ravi and Claire Donohoe. Their work appears in journals such as Translational Oncology, Cancer Letters, Scientific Reports, Journal of Cancer Research and Clinical Oncology and Annals of Surgery.

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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