Emily Pace
Impact in
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- HER2/EGFR in Cancer Research
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- PI3K/AKT/mTOR signaling in cancer 2
- Oncology 6
- HER2/EGFR in Cancer Research 4
- Colorectal Cancer Treatments and Studies 1
- Cancer Treatment and Pharmacology 1
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Ulrik B. Nielsen (4 shared papers)Matthew Onsum (2 shared papers)Birgit Schoeberl (5 shared papers)Lin Nie (2 shared papers)Danan Li (1 shared paper)Zandra E. Walton (1 shared paper)Olga Burenkova (1 shared paper)Anthony C. Faber (1 shared paper)
- Journals
- Cancer Research (3 papers)Molecular Cancer Therapeutics (1 paper)Journal of Clinical Oncology (1 paper)Blood (1 paper)Science Signaling (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Emily Pace
8 papers receiving 346 citations
Peers
Comparison fields: 5 of 43
- Oncology 222
- Radiology, Nuclear Medicine and Imaging 142
- Modeling and Simulation 17
- Molecular Biology 210
- Computational Theory and Mathematics 41
Countries citing papers authored by Emily Pace
This map shows the geographic impact of Emily Pace'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 Emily Pace with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Pace more than expected).
Fields of papers citing papers by Emily Pace
This network shows the impact of papers produced by Emily Pace. 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 Emily Pace. The network helps show where Emily Pace may publish in the future.
Co-authors
The 25 scholars most cited alongside Emily Pace, 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 | 215 | |
| 2 | 2013 | 85 | |
| 3 | 2017 | 31 | |
| 4 | 2006 | 7 | |
| 5 | 2021 | 7 | |
| 6 | 2015 | 4 | |
| 7 | 2013 | 2 | |
| 8 | 2013 | 1 | |
| 9 | 2012 | 0 |
About Emily Pace
Emily Pace is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 352 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Computational Drug Discovery Methods (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Cancer Treatment and Pharmacology (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Oncology (222 citations), Radiology, Nuclear Medicine and Imaging (142 citations), Modeling and Simulation (17 citations), Molecular Biology (210 citations) and Computational Theory and Mathematics (41 citations). Emily Pace has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Ulrik B. Nielsen, Matthew Onsum, Birgit Schoeberl, Lin Nie, Danan Li, Zandra E. Walton, Olga Burenkova, Anthony C. Faber, Youngchul Song and Katherine Crosby. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Clinical Oncology, Blood and Science Signaling.
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.