Daniel J. Sikkema

21 total papers · 668 total citations
15 papers, 517 citations indexed

About

Daniel J. Sikkema is a scholar working on Epidemiology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniel J. Sikkema has authored 15 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 6 papers in Immunology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel J. Sikkema's work include Pneumonia and Respiratory Infections (7 papers), Bacterial Infections and Vaccines (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Daniel J. Sikkema is often cited by papers focused on Pneumonia and Respiratory Infections (7 papers), Bacterial Infections and Vaccines (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Daniel J. Sikkema collaborates with scholars based in United States, India and Finland. Daniel J. Sikkema's co-authors include Dace V. Madore, Sally A. Quataert, Robert R. Brubaker, Moon H. Nahm, Helena Käyhty, Brian D. Plikaytis, David Goldblatt, William H. Benjamin, George M. Carlone and Carl E. Frasch and has published in prestigious journals such as The FASEB Journal, Molecular Microbiology and Gene.

In The Last Decade

Daniel J. Sikkema

15 papers receiving 499 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel J. Sikkema 324 132 127 92 60 15 517
R. MacDonald 168 0.5× 62 0.5× 141 1.1× 114 1.2× 33 0.6× 10 463
Pele Chong 236 0.7× 77 0.6× 125 1.0× 132 1.4× 62 1.0× 18 489
Hendrik Jan Hamstra 271 0.8× 394 3.0× 207 1.6× 109 1.2× 42 0.7× 13 537
Marta Brant 227 0.7× 212 1.6× 111 0.9× 164 1.8× 33 0.6× 18 552
H. M. Yamashiroya 300 0.9× 57 0.4× 157 1.2× 65 0.7× 74 1.2× 24 506
Leena Saarinen 391 1.2× 349 2.6× 107 0.8× 69 0.8× 31 0.5× 19 532
Leonard J. Rubinstein 160 0.5× 87 0.7× 170 1.3× 189 2.1× 26 0.4× 25 496
Tove Karin Herstad 175 0.5× 194 1.5× 87 0.7× 103 1.1× 12 0.2× 15 456
Estelle E. Newton 117 0.4× 96 0.7× 132 1.0× 190 2.1× 16 0.3× 15 488
Hanna Seitz 338 1.0× 50 0.4× 200 1.6× 100 1.1× 78 1.3× 15 447

Countries citing papers authored by Daniel J. Sikkema

Since Specialization
Citations

This map shows the geographic impact of Daniel J. Sikkema'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 Daniel J. Sikkema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Sikkema more than expected).

Fields of papers citing papers by Daniel J. Sikkema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Sikkema. 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 Daniel J. Sikkema. The network helps show where Daniel J. Sikkema may publish in the future.

Co-authorship network of co-authors of Daniel J. Sikkema

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Sikkema. A scholar is included among the top collaborators of Daniel J. Sikkema 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 Daniel J. Sikkema. Daniel J. Sikkema is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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