Thomas Egebjerg
Impact in
- Hematology top 10%
- Hemophilia Treatment and Research
- Blood Coagulation and Thrombosis Mechanisms
- Platelet Disorders and Treatments
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Protein purification and stability 5
- Viral Infectious Diseases and Gene Expression in Insects 3
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Min Fang (2 shared papers)Pieter Spee (2 shared papers)Lewis L. Lanier (2 shared papers)Mark T. Orr (2 shared papers)Luis J. Sigal (2 shared papers)Jais Rose Bjelke (4 shared papers)Nikolai Lorenzen (5 shared papers)Ida Hilden (2 shared papers)
- Journals
- Molecular Pharmaceutics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Blood (1 paper)The Journal of Immunology (1 paper)mAbs (1 paper)
- Partner nations
- DenmarkUnited StatesUnited Kingdom
In The Last Decade
Thomas Egebjerg
12 papers receiving 439 citations
Peers
Comparison fields: 5 of 77
- Hematology 127
- Immunology 127
- Genetics 47
- Infectious Diseases 74
- Virology 17
Countries citing papers authored by Thomas Egebjerg
This map shows the geographic impact of Thomas Egebjerg'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 Thomas Egebjerg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Egebjerg more than expected).
Fields of papers citing papers by Thomas Egebjerg
This network shows the impact of papers produced by Thomas Egebjerg. 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 Thomas Egebjerg. The network helps show where Thomas Egebjerg may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Egebjerg, 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 | 2012 | 121 | |
| 2 | 2011 | 86 | |
| 3 | 2020 | 68 | |
| 4 | 2021 | 53 | |
| 5 | 2020 | 48 | |
| 6 | 2010 | 41 | |
| 7 | 2023 | 16 | |
| 8 | 2024 | 5 | |
| 9 | 2019 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 1 |
About Thomas Egebjerg
Thomas Egebjerg is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Neurology and Hematology, having authored 12 papers that have together received 447 indexed citations. Recurring topics across this work include Protein purification and stability (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Long-Term Effects of COVID-19 (2 papers), Hemophilia Treatment and Research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Hematology (127 citations), Immunology (127 citations), Genetics (47 citations), Infectious Diseases (74 citations) and Virology (17 citations). Thomas Egebjerg has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Min Fang, Pieter Spee, Lewis L. Lanier, Mark T. Orr, Luis J. Sigal, Jais Rose Bjelke, Nikolai Lorenzen, Ida Hilden, Berit Olsen Krogh and Albrecht Gruhler. Their work appears in journals such as Molecular Pharmaceutics, Proceedings of the National Academy of Sciences, Blood, The Journal of Immunology and mAbs.
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.