Dan Sikkema

11 total papers · 425 total citations
6 papers, 179 citations indexed

About

Dan Sikkema is a scholar working on Genetics, Immunology and Molecular Biology. According to data from OpenAlex, Dan Sikkema has authored 6 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Dan Sikkema's work include Monoclonal and Polyclonal Antibodies Research (2 papers), Biosimilars and Bioanalytical Methods (2 papers) and Yersinia bacterium, plague, ectoparasites research (2 papers). Dan Sikkema is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (2 papers), Biosimilars and Bioanalytical Methods (2 papers) and Yersinia bacterium, plague, ectoparasites research (2 papers). Dan Sikkema collaborates with scholars based in United States, Germany and United Kingdom. Dan Sikkema's co-authors include Robert R. Brubaker, T S Lucier, Robert D. Perry, Michael S. Vincent, Sadiq Lula, Daniel Baltrukonis, Boris Gorovits, Deborah Finco, Indranil Bhattacharya and Mary Birchler and has published in prestigious journals such as Infection and Immunity, Journal of Immunological Methods and Clinical & Experimental Immunology.

In The Last Decade

Dan Sikkema

6 papers receiving 177 citations

Author Peers

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

Author Last Decade Papers Cites
Dan Sikkema 98 57 54 31 30 6 179
Petrina Rogerson 26 0.3× 43 0.8× 39 0.7× 7 0.2× 34 1.1× 6 251
Lara Bethke 46 0.5× 144 2.5× 55 1.0× 30 1.0× 35 1.2× 8 257
Juan Rodríguez‐Cuesta 20 0.2× 59 1.0× 21 0.4× 8 0.3× 11 0.4× 6 228
Daniela Michel 17 0.2× 103 1.8× 41 0.8× 7 0.2× 37 1.2× 4 275
Franziska Muscate 20 0.2× 43 0.8× 82 1.5× 4 0.1× 37 1.2× 8 222
Zilong Yu 30 0.3× 131 2.3× 73 1.4× 13 0.4× 111 3.7× 9 287
Mandy I. Cheng 12 0.1× 65 1.1× 101 1.9× 7 0.2× 15 0.5× 9 253
André Gessner 13 0.1× 21 0.4× 134 2.5× 6 0.2× 10 0.3× 5 224
Fernando Carrasco-Ramiro 21 0.2× 90 1.6× 15 0.3× 6 0.2× 40 1.3× 8 271
Moara Machado 53 0.5× 49 0.9× 29 0.5× 19 0.6× 4 0.1× 8 161

Countries citing papers authored by Dan Sikkema

Since Specialization
Citations

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

Fields of papers citing papers by Dan Sikkema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Sikkema

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Sikkema. A scholar is included among the top collaborators of Dan 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 Dan Sikkema. Dan 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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