Julia Maués

1.3k citations
15 papers · 207 · h-index 8

Impact in

Papers in

Julia Maués

13 papers receiving 203 citations

Peers

Julia Maués
Comparison fields: 5 of 50
  • Health Informatics 4
  • Pulmonary and Respiratory Medicine 74
  • Oncology 53
  • Genetics 19
  • Cancer Research 17
Replace Megan Dunne with:
Megan Dunne United States
Cheryl Marriott United Kingdom
Jürgen Alt Germany
Jennifer Poon United States
Ashwin N. Ram United States
Asma Dilawari United States
Raymond Lord United States
Terrence P. Cescon United States
Franziska M. Ippen Germany
Mufiza Farid‐Kapadia Canada
Julia Maués relative to Megan Dunne United States Megan Dunne's profile →
Citations per field
00.5×12.2×
Megan Dunne · 1×
Citations per year

Countries citing papers authored by Julia Maués

Since Specialization
Citations

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

Fields of papers citing papers by Julia Maués

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202250
2 202430
3 201825
4 201922
5 201921
6 202417
7 202417
8 202014
9 20243
10 20223
11 20242
12 20232
13 20241
14 20250
15 20250

About Julia Maués

Julia Maués is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Molecular Biology and General Health Professions, having authored 15 papers that have together received 207 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (4 papers), Cancer survivorship and care (4 papers), Cancer Genomics and Diagnostics (2 papers), Cancer-related cognitive impairment studies (2 papers), Palliative Care and End-of-Life Issues (2 papers), Lung Cancer Treatments and Mutations (2 papers), Ethics in Clinical Research (2 papers) and Economic and Financial Impacts of Cancer (2 papers). The work is most often cited by research in Health Informatics (4 citations), Pulmonary and Respiratory Medicine (74 citations), Oncology (53 citations), Genetics (19 citations) and Cancer Research (17 citations). Julia Maués has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Justin T. Jordan, Hans Messersmith, Glen Stevens, Laurie E. Gaspar, David Schiff, Michael A. Vogelbaum, Maryam B. Lustberg, Priscilla K. Brastianos, Martin J. van den Bent and Andrea S. Downing. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, JCO Oncology Practice, Clinical Cancer Research and American Society of Clinical Oncology Educational Book.

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.

Explore authors with similar magnitude of impact