Steven De Munck

24 total papers · 882 total citations
7 papers, 256 citations indexed

About

Steven De Munck is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Steven De Munck has authored 7 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Steven De Munck's work include Glycosylation and Glycoproteins Research (2 papers), Immune Cell Function and Interaction (2 papers) and Biochemical and Molecular Research (2 papers). Steven De Munck is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Immune Cell Function and Interaction (2 papers) and Biochemical and Molecular Research (2 papers). Steven De Munck collaborates with scholars based in Belgium, United States and France. Steven De Munck's co-authors include Savvas N. Savvides, Lance Stewart, David Baker, Justas Dauparas, Aza Allen, Frank DiMaio, Dionne Vafeados, Inna Goreshnik, Nathaniel R. Bennett and Brian Coventry and has published in prestigious journals such as Nature, Nature Communications and Structure.

In The Last Decade

Steven De Munck

7 papers receiving 252 citations

Hit Papers

Improving de novo protein... 2023 2026 2024 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Steven De Munck 173 50 27 25 20 7 256
Anshul Sukhwal 167 1.0× 33 0.7× 18 0.7× 38 1.5× 11 0.6× 7 211
Patrick Conway 219 1.3× 25 0.5× 35 1.3× 17 0.7× 15 0.8× 8 324
Jakub Paś 201 1.2× 27 0.5× 15 0.6× 47 1.9× 16 0.8× 11 293
Laura de la Cruz 157 0.9× 35 0.7× 15 0.6× 9 0.4× 17 0.8× 10 306
Kenneth Goossens 224 1.3× 34 0.7× 10 0.4× 23 0.9× 49 2.5× 8 320
Paige Solomon 163 0.9× 28 0.6× 44 1.6× 18 0.7× 18 0.9× 6 303
Mikail D. Levasseur 158 0.9× 26 0.5× 60 2.2× 21 0.8× 29 1.4× 12 278
Alessio Del Conte 233 1.3× 15 0.3× 14 0.5× 30 1.2× 14 0.7× 7 279
Damiano Cianferoni 229 1.3× 20 0.4× 21 0.8× 22 0.9× 7 0.3× 9 327
T. Scott Chen 278 1.6× 20 0.4× 54 2.0× 30 1.2× 28 1.4× 7 326

Countries citing papers authored by Steven De Munck

Since Specialization
Citations

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

Fields of papers citing papers by Steven De Munck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven De Munck. 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 Steven De Munck. The network helps show where Steven De Munck may publish in the future.

Co-authorship network of co-authors of Steven De Munck

This figure shows the co-authorship network connecting the top 25 collaborators of Steven De Munck. A scholar is included among the top collaborators of Steven De Munck 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 Steven De Munck. Steven De Munck 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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