Gregorius J. Sips

23 total papers · 474 total citations
17 papers, 292 citations indexed

About

Gregorius J. Sips is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Gregorius J. Sips has authored 17 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 7 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in Gregorius J. Sips's work include SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (3 papers) and COVID-19 Clinical Research Studies (2 papers). Gregorius J. Sips is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (3 papers) and COVID-19 Clinical Research Studies (2 papers). Gregorius J. Sips collaborates with scholars based in Netherlands, United States and United Kingdom. Gregorius J. Sips's co-authors include Jan Wilschut, Jolanda M. Smit, Daniel Chesik, Richard Molenkamp, Corine H. GeurtsvanKessel, Jacques De Keyser, Nadine Wilczak, Lotty Hooft, Ewoud Schuit and Karel G.M. Moons and has published in prestigious journals such as Neurology, Journal of Clinical Microbiology and BMJ.

In The Last Decade

Gregorius J. Sips

15 papers receiving 291 citations

Author Peers

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

Author Last Decade Papers Cites
Gregorius J. Sips 200 123 72 35 31 17 292
Jean‐Sélim Driouich 221 1.1× 62 0.5× 54 0.8× 53 1.5× 6 0.2× 20 290
Swagata Kar 181 0.9× 33 0.3× 43 0.6× 44 1.3× 8 0.3× 22 249
Diana Barrios 87 0.4× 124 1.0× 58 0.8× 68 1.9× 15 0.5× 20 320
Anukumar Balakrishnan 168 0.8× 103 0.8× 58 0.8× 27 0.8× 7 0.2× 19 217
Tomasz Smiatacz 82 0.4× 46 0.4× 68 0.9× 15 0.4× 9 0.3× 23 210
Jiaru Yang 160 0.8× 48 0.4× 77 1.1× 34 1.0× 25 0.8× 29 300
Jared Evans 194 1.0× 199 1.6× 48 0.7× 19 0.5× 4 0.1× 11 277
Robbert Boudewijns 172 0.9× 88 0.7× 39 0.5× 21 0.6× 6 0.2× 11 214
Lucila Marquez 141 0.7× 57 0.5× 97 1.3× 20 0.6× 8 0.3× 23 280
Rama Dhenni 89 0.4× 89 0.7× 99 1.4× 22 0.6× 5 0.2× 19 267

Countries citing papers authored by Gregorius J. Sips

Since Specialization
Citations

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

Fields of papers citing papers by Gregorius J. Sips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregorius J. Sips

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026