Stefanie Morris

787 citations
12 papers · 212 · h-index 7

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • HER2/EGFR in Cancer Research
    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies

Papers in

Stefanie Morris

8 papers receiving 209 citations

Peers

Stefanie Morris
Comparison fields: 5 of 37
  • Oncology 125
  • Cancer Research 45
  • Pulmonary and Respiratory Medicine 75
  • Pathology and Forensic Medicine 13
  • Health Informatics 1
Replace Jack Junjie Chan with:
Jack Junjie Chan Singapore
Filippo Merloni Italy
Daniele Presti Italy
Roby Thomas United States
Roxana Reyes Spain
Paz J. Vellanki United States
Carlos Mayo United States
J. Casal Spain
Marc Beishon Italy
Ignacio Peláez Fernández Spain
Stefanie Morris relative to Jack Junjie Chan Singapore Jack Junjie Chan's profile →
Citations per field
00.5×1.5×1.9×
Jack Junjie Chan · 1×
Citations per year

Countries citing papers authored by Stefanie Morris

Since Specialization
Citations

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

Fields of papers citing papers by Stefanie Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 202299
2 201628
3 202220
4 201918
5 202116
6 202014
7 202012
8 20175
9 20250
10 20260
11 20250
12 20220

About Stefanie Morris

Stefanie Morris is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Clinical Psychology and Sociology and Political Science, having authored 12 papers that have together received 212 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Lung Cancer Treatments and Mutations (2 papers), Gastric Cancer Management and Outcomes (2 papers), HER2/EGFR in Cancer Research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Breast Cancer Treatment Studies (1 paper) and Migration, Health and Trauma (1 paper). The work is most often cited by research in Oncology (125 citations), Cancer Research (45 citations), Pulmonary and Respiratory Medicine (75 citations), Pathology and Forensic Medicine (13 citations) and Health Informatics (1 citation). Stefanie Morris has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Federico Cappuzzo, Tony Mok, Eugene Kim, Makoto Nishio, Wei Zou, Meghna Das Thakur, Mark A. Socinski, Martin Reck, Geetha Shankar and David S. Shames. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Journal of Clinical Oncology, CPT Pharmacometrics & Systems Pharmacology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and Journal of Refugee Studies.

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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