Ellen Ingalla
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
-
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Protein Degradation and Inhibitors 3
- Cancer therapeutics and mechanisms 2
- Glycosylation and Glycoproteins Research 2
- Genetics 6
- Estrogen and related hormone effects 6
- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- Deepak Sampath (5 shared papers)Wayne J. Fairbrother (3 shared papers)Jason Oeh (4 shared papers)Nguyen Tan (1 shared paper)Lisa D. Belmont (1 shared paper)Martine Amiot (1 shared paper)Michael J. Mitten (1 shared paper)Joel Johansson (1 shared paper)
- Journals
- Cancer Research (5 papers)Molecular Cancer Therapeutics (2 papers)Clinical Cancer Research (1 paper)Science Translational Medicine (1 paper)Biopharmaceutics & Drug Disposition (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Ellen Ingalla
11 papers receiving 337 citations
Peers
Comparison fields: 5 of 48
- Hematology 127
- Genetics 69
- Oncology 126
- Molecular Biology 241
- Pathology and Forensic Medicine 49
Countries citing papers authored by Ellen Ingalla
This map shows the geographic impact of Ellen Ingalla'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 Ellen Ingalla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen Ingalla more than expected).
Fields of papers citing papers by Ellen Ingalla
This network shows the impact of papers produced by Ellen Ingalla. 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 Ellen Ingalla. The network helps show where Ellen Ingalla may publish in the future.
Co-authors
The 25 scholars most cited alongside Ellen Ingalla, 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 | 2016 | 223 | |
| 2 | 2006 | 67 | |
| 3 | 2014 | 20 | |
| 4 | 2022 | 9 | |
| 5 | 2013 | 5 | |
| 6 | 2013 | 4 | |
| 7 | 2020 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2020 | 1 | |
| 10 | Could mTOR be a therapeutic target for bladder cancer | 2008 | 1 |
| 11 | 2019 | 1 | |
| 12 | 2016 | 1 |
About Ellen Ingalla
Ellen Ingalla is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Genetics and Oncology, having authored 12 papers that have together received 339 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Protein Degradation and Inhibitors (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Advanced Breast Cancer Therapies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer therapeutics and mechanisms (2 papers), HER2/EGFR in Cancer Research (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Hematology (127 citations), Genetics (69 citations), Oncology (126 citations), Molecular Biology (241 citations) and Pathology and Forensic Medicine (49 citations). Ellen Ingalla has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Deepak Sampath, Wayne J. Fairbrother, Jason Oeh, Nguyen Tan, Lisa D. Belmont, Martine Amiot, Michael J. Mitten, Joel Johansson, Franklin Peale and Sophie Maïga. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Clinical Cancer Research, Science Translational Medicine and Biopharmaceutics & Drug Disposition.
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.