Damian C. Ekiert
- Epidemiology top 0.5%
- Molecular Biology top 5%
- Immunology top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Infectious Diseases top 2%
- Co-authors
- Ian A. WilsonGira BhabhaMandy JongeneelenJaap GoudsmitRobert H. FriesenMarc‐André ElsligerMark ThrosbyRong Hai
- Topics
- Bacterial Genetics and Biotechnology (15 papers)Influenza Virus Research Studies (14 papers)Monoclonal and Polyclonal Antibodies Research (13 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Damian C. Ekiert
53 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Epidemiology 3.1k
- Molecular Biology 2.4k
- Immunology 1.4k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Infectious Diseases 847
Countries citing papers authored by Damian C. Ekiert
This map shows the geographic impact of Damian C. Ekiert'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 Damian C. Ekiert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damian C. Ekiert more than expected).
Fields of papers citing papers by Damian C. Ekiert
This network shows the impact of papers produced by Damian C. Ekiert. 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 Damian C. Ekiert. The network helps show where Damian C. Ekiert may publish in the future.
Co-authorship network of co-authors of Damian C. Ekiert
This figure shows the co-authorship network connecting the top 25 collaborators of Damian C. Ekiert. A scholar is included among the top collaborators of Damian C. Ekiert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Damian C. Ekiert. Damian C. Ekiert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 28 | |
| 7 | 6 | |
| 8 | 15 | |
| 9 | 16 | |
| 10 | 4 | |
| 11 | 32 | |
| 12 | 50 | |
| 13 | 21 | |
| 14 | 175 | |
| 15 | 1 | |
| 16 | 177 | |
| 17 | 380 | |
| 18 | Structural Basis of Preexisting Immunity to the 2009 H1N1 Pandemic Influenza Virusbreakdown → | 485 |
| 19 | Antibody Recognition of a Highly Conserved Influenza Virus Epitopebreakdown → | 1048 |
| 20 | 75 |
About Damian C. Ekiert
Damian C. Ekiert is a scholar working on Aging, Molecular Medicine and Parasitology, having authored 57 papers that have together received 5.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (15 papers), Influenza Virus Research Studies (14 papers) and Monoclonal and Polyclonal Antibodies Research (13 papers). The work is most often cited by research in Epidemiology (3.1k citations), Immunology (1.4k citations) and Radiology, Nuclear Medicine and Imaging (1.2k citations). Damian C. Ekiert has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ian A. Wilson, Gira Bhabha, Mandy Jongeneelen, Jaap Goudsmit, Robert H. Friesen, Marc‐André Elsliger, Mark Throsby, Rong Hai, James E. Crowe and Jens C. Krause. Their work appears in journals such as Nature, Science and Cell.
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.