Eva Emmell
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Immunology top 10%
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
Papers in
- Immunology 11
- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 3
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- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Jill Giles‐Komar (4 shared papers)Marian T. Nakada (3 shared papers)Mohit Trikha (3 shared papers)Zhou Zhao (3 shared papers)Don E. Griswold (7 shared papers)Lily Li (6 shared papers)József Tı́már (1 shared paper)A. Paige Davis Volk (3 shared papers)
- Journals
- Cellular Immunology (3 papers)mAbs (3 papers)Scientific Reports (1 paper)Cytokine (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United StatesBelgium
In The Last Decade
Eva Emmell
18 papers receiving 986 citations
Peers
Comparison fields: 5 of 76
- Immunology and Allergy 192
- Immunology 329
- Hematology 119
- Internal Medicine 29
- Rheumatology 121
Countries citing papers authored by Eva Emmell
This map shows the geographic impact of Eva Emmell'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 Eva Emmell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Emmell more than expected).
Fields of papers citing papers by Eva Emmell
This network shows the impact of papers produced by Eva Emmell. 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 Eva Emmell. The network helps show where Eva Emmell may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Emmell, 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 | Multiple roles for platelet GPIIb/IIIa and alphavbeta3 integrins in tumor growth, angiogenesis, and metastasis. | 2002 | 192 |
| 2 | 2010 | 190 | |
| 3 | 2004 | 163 | |
| 4 | 2004 | 124 | |
| 5 | 2002 | 87 | |
| 6 | 2005 | 74 | |
| 7 | 2006 | 46 | |
| 8 | 2014 | 24 | |
| 9 | 2017 | 23 | |
| 10 | 2001 | 23 | |
| 11 | 2004 | 15 | |
| 12 | 2006 | 15 | |
| 13 | 2006 | 11 | |
| 14 | 2008 | 11 | |
| 15 | 2015 | 9 | |
| 16 | 2017 | 9 | |
| 17 | 2014 | 4 | |
| 18 | 2019 | 3 |
About Eva Emmell
Eva Emmell is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Hematology and Molecular Biology, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Platelet Disorders and Treatments (4 papers), Asthma and respiratory diseases (3 papers), Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (3 papers), Angiogenesis and VEGF in Cancer (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Immunology and Allergy (192 citations), Immunology (329 citations), Hematology (119 citations), Internal Medicine (29 citations) and Rheumatology (121 citations). Eva Emmell has collaborated with scholars based in United States and Belgium. Frequent co-authors include Jill Giles‐Komar, Marian T. Nakada, Mohit Trikha, Zhou Zhao, Don E. Griswold, Lily Li, József Tı́már, A. Paige Davis Volk, Gaoyun Yang and Ted Petley. Their work appears in journals such as Cellular Immunology, mAbs, Scientific Reports, Cytokine and Journal of Pharmacology and Experimental Therapeutics.
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.