Nicholas J. Rettko

16 total papers · 706 total citations
8 papers, 319 citations indexed

About

Nicholas J. Rettko is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nicholas J. Rettko has authored 8 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nicholas J. Rettko's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Immunotherapy and Immune Responses (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Nicholas J. Rettko is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Immunotherapy and Immune Responses (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Nicholas J. Rettko collaborates with scholars based in United States and Canada. Nicholas J. Rettko's co-authors include Samuel H. Gellman, James A. Wells, James W. Checco, Katrina T. Forest, David G. Belair, Nicole C. Thomas, Dale F. Kreitler, William L. Murphy, Xin Zhou and Kevin Leung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioorganic & Medicinal Chemistry and ACS Chemical Biology.

In The Last Decade

Nicholas J. Rettko

8 papers receiving 316 citations

Author Peers

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

Author Last Decade Papers Cites
Nicholas J. Rettko 184 149 61 48 32 8 319
Paige Solomon 163 0.9× 153 1.0× 44 0.7× 13 0.3× 28 0.9× 6 303
Desirée Schütz 152 0.8× 161 1.1× 23 0.4× 17 0.4× 34 1.1× 12 349
Joanna B. Pawlak 142 0.8× 168 1.1× 34 0.6× 64 1.3× 121 3.8× 12 361
Michal Zdzalik 214 1.2× 121 0.8× 20 0.3× 29 0.6× 36 1.1× 12 336
Katelyn E. Rosenbalm 152 0.8× 222 1.5× 47 0.8× 18 0.4× 38 1.2× 7 347
Hwan-Wun Liu 113 0.6× 110 0.7× 15 0.2× 16 0.3× 27 0.8× 8 355
Hock Ben Lim 127 0.7× 79 0.5× 26 0.4× 34 0.7× 24 0.8× 7 328
Ruicheng Lv 70 0.4× 171 1.1× 14 0.2× 37 0.8× 11 0.3× 8 262
Tjaša Plaper 244 1.3× 47 0.3× 24 0.4× 13 0.3× 35 1.1× 10 342
Peter Radvák 176 1.0× 75 0.5× 15 0.2× 43 0.9× 50 1.6× 12 312

Countries citing papers authored by Nicholas J. Rettko

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas J. Rettko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas J. Rettko

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas J. Rettko. A scholar is included among the top collaborators of Nicholas J. Rettko 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 Nicholas J. Rettko. Nicholas J. Rettko 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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