Eric D. Mortenson
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cancer Cells and Metastasis
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Oncology 5
- HER2/EGFR in Cancer Research 3
- Cancer Immunotherapy and Biomarkers 2
- CAR-T cell therapy research 2
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- Immunotherapy and Immune Responses 2
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Yang‐Xin Fu (7 shared papers)Xuanming Yang (3 shared papers)Yang Wang (2 shared papers)Olga Radkevich-Brown (2 shared papers)Shengdian Wang (2 shared papers)SaeGwang Park (2 shared papers)Zhujun Jiang (2 shared papers)Yang Liu (1 shared paper)
- Journals
- Current Pathobiology Reports (1 paper)Molecular Therapy (1 paper)Clinical Cancer Research (1 paper)Cancer Cell (1 paper)OncoImmunology (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Eric D. Mortenson
8 papers receiving 676 citations
Peers
Comparison fields: 5 of 51
- Oncology 452
- Immunology 286
- Radiology, Nuclear Medicine and Imaging 198
- Pulmonary and Respiratory Medicine 84
- Gastroenterology 14
Countries citing papers authored by Eric D. Mortenson
This map shows the geographic impact of Eric D. Mortenson'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 Eric D. Mortenson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Mortenson more than expected).
Fields of papers citing papers by Eric D. Mortenson
This network shows the impact of papers produced by Eric D. Mortenson. 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 Eric D. Mortenson. The network helps show where Eric D. Mortenson may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric D. Mortenson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 453 | |
| 2 | 2012 | 100 | |
| 3 | 2013 | 53 | |
| 4 | 2014 | 45 | |
| 5 | 2014 | 18 | |
| 6 | 2012 | 10 | |
| 7 | 2011 | 4 | |
| 8 | 2014 | 3 |
About Eric D. Mortenson
Eric D. Mortenson is a scholar working on Oncology, Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Hematology, having authored 8 papers that have together received 686 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), CAR-T cell therapy research (2 papers) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Oncology (452 citations), Immunology (286 citations), Radiology, Nuclear Medicine and Imaging (198 citations), Pulmonary and Respiratory Medicine (84 citations) and Gastroenterology (14 citations). Eric D. Mortenson has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Yang‐Xin Fu, Xuanming Yang, Yang Wang, Olga Radkevich-Brown, Shengdian Wang, SaeGwang Park, Zhujun Jiang, Yang Liu, Liufu Deng and Mark I. Greene. Their work appears in journals such as Current Pathobiology Reports, Molecular Therapy, Clinical Cancer Research, Cancer Cell and OncoImmunology.
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.