Damian C. Ekiert

9.2k total citations · 5 hit papers
57 papers, 5.6k citations indexed

About

Damian C. Ekiert is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Damian C. Ekiert has authored 57 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 18 papers in Genetics and 15 papers in Epidemiology. Recurrent topics in Damian C. Ekiert's work include Bacterial Genetics and Biotechnology (15 papers), Influenza Virus Research Studies (14 papers) and Monoclonal and Polyclonal Antibodies Research (13 papers). Damian C. Ekiert is often cited by papers focused on Bacterial Genetics and Biotechnology (15 papers), Influenza Virus Research Studies (14 papers) and Monoclonal and Polyclonal Antibodies Research (13 papers). Damian C. Ekiert collaborates with scholars based in United States, United Kingdom and Canada. Damian C. Ekiert's 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 and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Damian C. Ekiert

53 papers receiving 5.5k citations

Hit Papers

Antibody Recognition of a Highly Conserved Influenza Viru... 2009 2026 2014 2020 2009 2011 2010 2011 2012 250 500 750 1000

Peers

Damian C. Ekiert
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
Replace Gira Bhabha with:
Gira Bhabha United States
Dieter Blaas Austria
François Pénin France
Ian M. Jones United Kingdom
Ola Blixt Denmark
Rob W. H. Ruigrok France
Julian W. Bess United States
Ming Luo United States
H. Mario Geysen Australia
Stephen A. Wharton United Kingdom
Gira Bhabha United States View profile →
Citations per field, relative to Damian C. Ekiert
Damian C. Ekiert · 1×
Citations per year, relative to Damian C. Ekiert
Damian C. Ekiert · 1×

Countries citing papers authored by Damian C. Ekiert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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 Virus breakdown →
485
19
Antibody Recognition of a Highly Conserved Influenza Virus Epitope breakdown →
1048
20 75

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.

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