Dan Freeman
Impact in
-
- Cytokine Signaling Pathways and Interactions
- HER2/EGFR in Cancer Research
-
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Oncology 8
- HER2/EGFR in Cancer Research 5
- Colorectal Cancer Treatments and Studies 2
-
- Prostate Cancer Treatment and Research 3
- Prostate Cancer Diagnosis and Treatment 3
- Lung Cancer Treatments and Mutations 2
- Co-authors
- Ulla M. Sarmiento (1 shared paper)Thomas C. Boone (1 shared paper)Ming‐Shi Chang (1 shared paper)Brian Varnum (1 shared paper)Gary Elliott (1 shared paper)Christine L. Shaklee (1 shared paper)Sheila Scully (1 shared paper)Charlie Starnes (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (3 papers)Journal of Clinical Oncology (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Remote Sensing (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Dan Freeman
16 papers receiving 422 citations
Peers
Comparison fields: 5 of 87
- Oncology 175
- Developmental Neuroscience 25
- Immunology 107
- Cancer Research 37
- Genetics 24
Countries citing papers authored by Dan Freeman
This map shows the geographic impact of Dan Freeman'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 Dan Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Freeman more than expected).
Fields of papers citing papers by Dan Freeman
This network shows the impact of papers produced by Dan Freeman. 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 Dan Freeman. The network helps show where Dan Freeman may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Freeman, 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 | 1999 | 217 | |
| 2 | 2006 | 86 | |
| 3 | 2006 | 29 | |
| 4 | 2019 | 26 | |
| 5 | 2008 | 21 | |
| 6 | 2020 | 15 | |
| 7 | Fully human Anti-HER3 monoclonal antibodies (mAbs) inhibit oncogenic signaling and tumor cell growth in vitro and in vivo | 2008 | 14 |
| 8 | 2009 | 7 | |
| 9 | 2009 | 5 | |
| 10 | 2009 | 4 | |
| 11 | 2009 | 3 | |
| 12 | 2021 | 1 | |
| 13 | 2011 | 1 | |
| 14 | 1981 | 1 | |
| 15 | 2018 | 1 | |
| 16 | Association of somatic kRAS gene mutations and clinical outcome from a phase 2 mCRC trial of panitumumab | 2007 | 1 |
About Dan Freeman
Dan Freeman is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Psychiatry and Mental health, having authored 16 papers that have together received 432 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), HER2/EGFR in Cancer Research (5 papers), Prostate Cancer Treatment and Research (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Lung Cancer Treatments and Mutations (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Oncology (175 citations), Developmental Neuroscience (25 citations), Immunology (107 citations), Cancer Research (37 citations) and Genetics (24 citations). Dan Freeman has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Ulla M. Sarmiento, Thomas C. Boone, Ming‐Shi Chang, Brian Varnum, Gary Elliott, Christine L. Shaklee, Sheila Scully, Charlie Starnes, Jane Guo and W. Scott Simonet. Their work appears in journals such as Molecular Cancer Therapeutics, Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Remote Sensing and Clinical Cancer 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.